Alternatives to HumanLayer
Compare HumanLayer alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to HumanLayer in 2026. Compare features, ratings, user reviews, pricing, and more from HumanLayer competitors and alternatives in order to make an informed decision for your business.
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1
Vertex AI
Google
Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection. Vertex AI Agent Builder enables developers to create and deploy enterprise-grade generative AI applications. It offers both no-code and code-first approaches, allowing users to build AI agents using natural language instructions or by leveraging frameworks like LangChain and LlamaIndex. -
2
Leah
Leah
Leah, formerly ContractPodAi, empowers enterprises to build, orchestrate, and govern intelligent AI agents across legal, procurement, finance, and beyond. Our solution combines advanced AI with deep domain expertise across our core products: Leah Agentic OS and Leah Agentic Contract Lifecycle Management (CLM). Founded on the principle of elevating human judgment rather than replacing it, Leah automates complex workflows, connects data silos, and drives measurable ROI at scale. Trusted by global enterprises, Leah gives organizations a competitive advantage through AI-driven automation and operational excellence. Partnerships with leading AI providers including OpenAI, Anthropic, Google, Microsoft, Meta, Cohere, and Mistral strengthen Leah’s technological foundation and market position. With offices spanning London, New York, Dubai, Sydney, Glasgow, Mumbai and Singapore, Leah continues expanding its impact globally. -
3
Dialogflow
Google
Dialogflow from Google Cloud is a natural language understanding platform that makes it easy to design and integrate a conversational user interface into your mobile app, web application, device, bot, interactive voice response system, and so on. Using Dialogflow, you can provide new and engaging ways for users to interact with your product. Dialogflow can analyze multiple types of input from your customers, including text or audio inputs (like from a phone or voice recording). It can also respond to your customers in a couple of ways, either through text or with synthetic speech. Dialogflow CX and ES provide virtual agent services for chatbots and contact centers. If you have a contact center that employs human agents, you can use Agent Assist to help your human agents. Agent Assist provides real-time suggestions for human agents while they are in conversations with end-user customers. -
4
Agency
Agency
Agency helps enterprises build, evaluate, and monitor AI agents. From the team at AgentOps.ai. Agen.cy (Agency AI) develops cutting edge AI agents using CrewAI, AutoGen, CamelAI, LLamaIndex, Langchain, Cohere, MultiOn + many more. -
5
AgentAuth
Composio
AgentAuth is a specialized authentication platform designed to facilitate secure and seamless access for AI agents to over 250 third-party applications and services. It offers comprehensive support for various authentication protocols, ensuring reliable connections with automatic token refresh. The platform integrates seamlessly with leading agentic frameworks such as LangChain, CrewAI, and LlamaIndex, enhancing the capabilities of AI agents. AgentAuth provides a unified dashboard for complete visibility into user-connected accounts, enabling efficient monitoring and issue resolution. It also offers white-labeling options, allowing customization of the authentication process to align with product branding and OAuth developer applications. Committed to high-security standards, AgentAuth complies with SOC 2 Type II and GDPR, employing strong encryption for data protection.Starting Price: $99 per month -
6
Naptha
Naptha
Naptha is a modular AI platform for autonomous agents that empowers developers and researchers to build, deploy, and scale cooperative multi‑agent systems on the agentic web. Its core innovations include Agent Diversity, which continuously upgrades performance by orchestrating diverse models, tools, and architectures; Horizontal Scaling, which supports collaborative networks of millions of AI agents; Self‑Evolved AI, where agents learn and optimize themselves beyond human‑designed capabilities; and AI Agent Economies, which enable autonomous agents to generate useful goods and services. Naptha integrates seamlessly with popular frameworks and infrastructure, LangChain, AgentOps, CrewAI, IPFS, NVIDIA stacks, and more, via a Python SDK that upgrades existing agent frameworks with next‑generation enhancements. Developers can extend or publish reusable components on the Naptha Hub, run full agent stacks anywhere a container can execute on Naptha Nodes. -
7
LangGraph
LangChain
Gain precision and control with LangGraph to build agents that reliably handle complex tasks. Build and scale agentic applications with LangGraph Platform. LangGraph's flexible framework supports diverse control flows – single agent, multi-agent, hierarchical, sequential – and robustly handles realistic, complex scenarios. Ensure reliability with easy-to-add moderation and quality loops that prevent agents from veering off course. Use LangGraph Platform to templatize your cognitive architecture so that tools, prompts, and models are easily configurable with LangGraph Platform Assistants. With built-in statefulness, LangGraph agents seamlessly collaborate with humans by writing drafts for review and awaiting approval before acting. Easily inspect the agent’s actions and "time-travel" to roll back and take a different action to correct course.Starting Price: Free -
8
Cognee
Cognee
Cognee is an open source AI memory engine that transforms raw data into structured knowledge graphs, enhancing the accuracy and contextual understanding of AI agents. It supports various data types, including unstructured text, media files, PDFs, and tables, and integrates seamlessly with several data sources. Cognee employs modular ECL pipelines to process and organize data, enabling AI agents to retrieve relevant information efficiently. It is compatible with vector and graph databases and supports LLM frameworks like OpenAI, LlamaIndex, and LangChain. Key features include customizable storage options, RDF-based ontologies for smart data structuring, and the ability to run on-premises, ensuring data privacy and compliance. Cognee's distributed system is scalable, capable of handling large volumes of data, and is designed to reduce AI hallucinations by providing AI agents with a coherent and interconnected data landscape.Starting Price: $25 per month -
9
Flowise
Flowise AI
Flowise is an open-source, low-code platform that enables developers to create customized Large Language Model (LLM) applications through a user-friendly drag-and-drop interface. It supports integration with various LLMs, including LangChain and LlamaIndex, and offers over 100 integrations to facilitate the development of AI agents and orchestration flows. Flowise provides APIs, SDKs, and embedded widgets for seamless incorporation into existing systems, and is platform-agnostic, allowing deployment in air-gapped environments with local LLMs and vector databases.Starting Price: Free -
10
AI Crypto-Kit
Composio
AI Crypto-Kit empowers developers to build crypto agents by seamlessly integrating leading Web3 platforms like Coinbase, OpenSea, and more to automate real-world crypto/DeFi workflows. Developers can build AI-powered crypto automation in minutes, including applications such as trading agents, community reward systems, Coinbase wallet management, portfolio tracking, market analysis, and yield farming. The platform offers capabilities engineered for crypto agents, including fully managed agent authentication with support for OAuth, API keys, JWT, and automatic token refresh; optimization for LLM function calling to ensure enterprise-grade reliability; support for over 20 agentic frameworks like Pippin, LangChain, and LlamaIndex; integration with more than 30 Web3 platforms, including Binance, Aave, OpenSea, and Chainlink; and SDKs and APIs for agentic app interactions, available in Python and TypeScript. -
11
AgentSea
AgentSea
AgentSea is an open source platform designed to build, deploy, and share AI agents with ease. It delivers a collection of libraries and tools for building AI agent apps, favoring the UNIX philosophy of doing one thing well. Tools can be used individually or stacked together into a single agent app, and are compatible with frameworks like LlamaIndex and LangChain. Key components include SurfKit, a Kubernetes-style orchestrator for agents; DeviceBay, offering pluggable devices like file systems and desktops; ToolFuse, a library that wraps scripts, third-party apps, and APIs as Tool implementations; AgentD, a daemon making a Linux desktop OS accessible to bots; AgentDesk, a library for running AgentD-powered VMs; Taskara, for task management; ThreadMem, for building multi-role persistent threads; and MLLM, simplifying communication with multiple LLMs and multimodal LLMs. AgentSea also offers alpha agents like SurfPizza and SurfSlicer, which navigate GUIs using multimodal approaches.Starting Price: Free -
12
Solar Mini
Upstage AI
Solar Mini is a pre‑trained large language model that delivers GPT‑3.5‑comparable responses with 2.5× faster inference while staying under 30 billion parameters. It achieved first place on the Hugging Face Open LLM Leaderboard in December 2023 by combining a 32‑layer Llama 2 architecture, initialized with high‑quality Mistral 7B weights, with an innovative “depth up‑scaling” (DUS) approach that deepens the model efficiently without adding complex modules. After DUS, continued pretraining restores and enhances performance, and instruction tuning in a QA format, especially for Korean, refines its ability to follow user prompts, while alignment tuning ensures its outputs meet human or advanced AI preferences. Solar Mini outperforms competitors such as Llama 2, Mistral 7B, Ko‑Alpaca, and KULLM across a variety of benchmarks, proving that compact size need not sacrifice capability.Starting Price: $0.1 per 1M tokens -
13
NVIDIA NeMo Guardrails
NVIDIA
NVIDIA NeMo Guardrails is an open-source toolkit designed to enhance the safety, security, and compliance of large language model-based conversational applications. It enables developers to define, orchestrate, and enforce multiple AI guardrails, ensuring that generative AI interactions remain accurate, appropriate, and on-topic. The toolkit leverages Colang, a specialized language for designing flexible dialogue flows, and integrates seamlessly with popular AI development frameworks like LangChain and LlamaIndex. NeMo Guardrails offers features such as content safety, topic control, personal identifiable information detection, retrieval-augmented generation enforcement, and jailbreak prevention. Additionally, the recently introduced NeMo Guardrails microservice simplifies rail orchestration with API-based interaction and tools for enhanced guardrail management and maintenance. -
14
SIA
SIA
Scogo.ai offers SIA, a customizable, no-code AI agent designed to enhance customer support by providing 24/7 multilingual assistance across voice, chat, WhatsApp, and email channels. SIA is capable of resolving up to 80% of customer queries, processing text, images, and voice inputs to deliver human-like, collaborative interactions. The platform ensures secure and accurate responses, aligning with your brand's unique tone and policies. SIA can be set up instantly without requiring sign-up or credit card information, making it accessible for businesses seeking to improve customer engagement and build brand loyalty. The AI agent is built to handle various customer support workloads, including product issue resolution, field service management, reseller support, human-agent collaboration, and product recommendations. With support for over 50 languages, SIA caters to a global audience, ensuring effective communication with diverse customer bases. -
15
DeepEval
Confident AI
DeepEval is a simple-to-use, open source LLM evaluation framework, for evaluating and testing large-language model systems. It is similar to Pytest but specialized for unit testing LLM outputs. DeepEval incorporates the latest research to evaluate LLM outputs based on metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., which uses LLMs and various other NLP models that run locally on your machine for evaluation. Whether your application is implemented via RAG or fine-tuning, LangChain, or LlamaIndex, DeepEval has you covered. With it, you can easily determine the optimal hyperparameters to improve your RAG pipeline, prevent prompt drifting, or even transition from OpenAI to hosting your own Llama2 with confidence. The framework supports synthetic dataset generation with advanced evolution techniques and integrates seamlessly with popular frameworks, allowing for efficient benchmarking and optimization of LLM systems.Starting Price: Free -
16
Lorikeet
Lorikeet
Lorikeet is an AI support agent designed to handle complex customer service issues by following the same workflows as human agents. Unlike basic AI chatbots limited to simple queries, Lorikeet's unique architecture enables it to perform tasks equivalent to human agents, allowing companies to scale their support without increasing headcount. The AI agent integrates seamlessly with existing support systems, accessing help centers, reference materials, and standard operating procedures to provide accurate and contextually relevant responses. It engages with customers when it has sufficient context and defers to human agents when necessary, ensuring appropriate and confident interactions. Lorikeet's agent follows complex, multi-step processes, gathering data, making decisions, contacting internal teams as required, delivering human-like conversations, and being highly reliable.Starting Price: $500 per month -
17
LangChain
LangChain
LangChain is a powerful, composable framework designed for building, running, and managing applications powered by large language models (LLMs). It offers an array of tools for creating context-aware, reasoning applications, allowing businesses to leverage their own data and APIs to enhance functionality. LangChain’s suite includes LangGraph for orchestrating agent-driven workflows, and LangSmith for agent observability and performance management. Whether you're building prototypes or scaling full applications, LangChain offers the flexibility and tools needed to optimize the LLM lifecycle, with seamless integrations and fault-tolerant scalability. -
18
Cake AI
Cake AI
Cake AI is a comprehensive AI infrastructure platform that enables teams to build and deploy AI applications using hundreds of pre-integrated open source components, offering complete visibility and control. It provides a curated, end-to-end selection of fully managed, best-in-class commercial and open source AI tools, with pre-built integrations across the full breadth of components needed to move an AI application into production. Cake supports dynamic autoscaling, comprehensive security measures including role-based access control and encryption, advanced monitoring, and infrastructure flexibility across various environments, including Kubernetes clusters and cloud services such as AWS. Its data layer equips teams with tools for data ingestion, transformation, and analytics, leveraging tools like Airflow, DBT, Prefect, Metabase, and Superset. For AI operations, Cake integrates with model catalogs like Hugging Face and supports modular workflows using LangChain, LlamaIndex, and more. -
19
atypica.AI
atypica.AI
Atypica is an AI research agent that automates the end-to-end consumer insights workflow by generating realistic, behavior-driven personas, conducting AI-led interviews, and performing deep analytics to uncover the emotional and cognitive factors behind human decision-making. It can instantly create diverse AI personas informed by demographic and social-media data, supporting 300,000 synthetic agents, and augment them with 10,000 “real person” agents built from in-depth consumer interviews. Each agent maintains consistent personality traits, cognitive biases, and decision-making frameworks, delivering authentic responses with 85% human-like accuracy. Researchers define questions and, in under 30 minutes, initiate AI-conducted interviews that yield rich transcripts (often 5,000 words per agent), then leverage built-in behavior analysis to identify emotional triggers, biases, and cultural influences.Starting Price: $20 per month -
20
Surf.new
Steel.dev
Surf.new is a free, open-source playground for testing and using AI agents that can browse the web. These agents surf the web and interact with webpages similarly to how a human would, making tasks like automation and web research easy and intuitive. Whether you're a developer evaluating web agents for production use or someone looking to automate repetitive tasks like checking flights, scraping product information, or booking reservations, Surf.new provides an accessible environment to quickly experiment and see how web agents perform. Key Features: Swap between AI Agent Frameworks with a button: Supports Browser-use, an experimental Claude Computer-use-based agent, and integrates smoothly with LangChain—allowing easy experimentation with different approaches. Diverse AI Model Compatibility: Compatible with popular models including Claude 3.7, DeepSeek R1, OpenAI models, Gemini 2.0 Flash, and others—giving you the flexibility to choose what works best. -
21
Omnara
Omnara
Omnara is the first agent command center that transforms your AI agents, like Claude Code, Cursor, GitHub Copilot, and custom builds, into collaborative teammates accessible from terminal, web, or mobile. Seamlessly start AI agents from any interface and instantly switch between devices while retaining the same session. Get real-time push notifications when an agent faces uncertainty or needs human input, and respond instantly from your phone or browser. It streams activity logs, Git diffs, and interactive prompts via SSE, offering a unified dashboard where you can review, approve, reject, or guide agent decisions with one tap. Built as a lightweight CLI wrapper that mirrors the native agent experience, Omnara ensures continuous workflow, visibility, and control while freeing users from being tethered to their desks.Starting Price: Free -
22
Literal AI
Literal AI
Literal AI is a collaborative platform designed to assist engineering and product teams in developing production-grade Large Language Model (LLM) applications. It offers a suite of tools for observability, evaluation, and analytics, enabling efficient tracking, optimization, and integration of prompt versions. Key features include multimodal logging, encompassing vision, audio, and video, prompt management with versioning and AB testing capabilities, and a prompt playground for testing multiple LLM providers and configurations. Literal AI integrates seamlessly with various LLM providers and AI frameworks, such as OpenAI, LangChain, and LlamaIndex, and provides SDKs in Python and TypeScript for easy instrumentation of code. The platform also supports the creation of experiments against datasets, facilitating continuous improvement and preventing regressions in LLM applications. -
23
Zoom Virtual Agent
Zoom Communications
Zoom Virtual Agent is an intelligent conversational AI and chatbot solution that uses natural language processing and machine learning to accurately understand and instantly resolve issues for customers. Zoom Virtual Agent works around the clock on multiple support channels to deliver fast, personalized customer experiences, reduce call volumes and handle times for human agents, and drive significant cost savings for organizations. Zoom Virtual Agent integrates seamlessly with various CRM, chat, and contact center platforms. It shines as part of Zoom Contact Center, our video-optimized CCaaS platform that helps businesses deliver prompt, accurate, and highly personalized customer experiences. Self-Service Experience - Knowledge Base - Searchable Articles - Community Forums - Mobile Optimization - Personalization Self-Service Platform - Branding - Automation - Artificial Intelligence - Integrations Responses - Customization - Control - Route To Human -
24
RA.Aid
RA.Aid
RA.Aid is an open source AI assistant that autonomously handles research, planning, and implementation to expedite software development processes. Built on LangGraph's agent-based task execution framework, RA.Aid operates through a three-stage architecture. RA.Aid supports multiple AI providers, including Anthropic's Claude, OpenAI, OpenRouter, and Gemini, allowing users to select models that best fit their requirements. It also features web research capabilities, enabling the agent to pull real-time information from the internet to enhance its understanding and execution of tasks. It offers an interactive chat mode, allowing users to guide the agent directly, ask questions, or redirect tasks as needed. Additionally, RA.Aid integrates with 'aider' via the '--use-aider' flag to leverage specialized code editing capabilities. It is designed with a human-in-the-loop interaction mode, enabling the agent to seek user input during task execution to ensure higher accuracy.Starting Price: Free -
25
LlamaIndex
LlamaIndex
LlamaIndex is a “data framework” to help you build LLM apps. Connect semi-structured data from API's like Slack, Salesforce, Notion, etc. LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models. LlamaIndex provides the key tools to augment your LLM applications with data. Connect your existing data sources and data formats (API's, PDF's, documents, SQL, etc.) to use with a large language model application. Store and index your data for different use cases. Integrate with downstream vector store and database providers. LlamaIndex provides a query interface that accepts any input prompt over your data and returns a knowledge-augmented response. Connect unstructured sources such as documents, raw text files, PDF's, videos, images, etc. Easily integrate structured data sources from Excel, SQL, etc. Provides ways to structure your data (indices, graphs) so that this data can be easily used with LLMs. -
26
Chainlit
Chainlit
Chainlit is an open-source Python package designed to expedite the development of production-ready conversational AI applications. With Chainlit, developers can build and deploy chat-based interfaces in minutes, not weeks. The platform offers seamless integration with popular AI tools and frameworks, including OpenAI, LangChain, and LlamaIndex, allowing for versatile application development. Key features of Chainlit include multimodal capabilities, enabling the processing of images, PDFs, and other media types to enhance productivity. It also provides robust authentication options, supporting integration with providers like Okta, Azure AD, and Google. The Prompt Playground feature allows developers to iterate on prompts in context, adjusting templates, variables, and LLM settings for optimal results. For observability, Chainlit offers real-time visualization of prompts, completions, and usage metrics, ensuring efficient and trustworthy LLM operations. -
27
Llama Guard
Meta
Llama Guard is an open-source safeguard model developed by Meta AI to enhance the safety of large language models in human-AI conversations. It functions as an input-output filter, classifying both prompts and responses into safety risk categories, including toxicity, hate speech, and hallucinations. Trained on a curated dataset, Llama Guard achieves performance on par with or exceeding existing moderation tools like OpenAI's Moderation API and ToxicChat. Its instruction-tuned architecture allows for customization, enabling developers to adapt its taxonomy and output formats to specific use cases. Llama Guard is part of Meta's broader "Purple Llama" initiative, which combines offensive and defensive security strategies to responsibly deploy generative AI models. The model weights are publicly available, encouraging further research and adaptation to meet evolving AI safety needs. -
28
Agent S2
Simular
Agent S2 is an open, modular, and scalable framework for computer-use agents developed by Simular. These autonomous AI agents interact directly with graphical user interfaces (GUIs) on desktops, mobile devices, browsers, and various software applications, mimicking human-like control via mouse and keyboard. Building upon the initial Agent S framework, Agent S2 enhances performance and modularity by integrating both frontier foundation models and specialized models. It achieves state-of-the-art results, notably surpassing previous benchmarks on OSWorld and AndroidWorld evaluations. Key design principles include proactive hierarchical planning, where the agent dynamically updates its plans after each subtask; visual grounding for precise GUI interaction using raw screenshots; an improved Agent-Computer Interface (ACI) that delegates complex tasks to specialized modules; and an agentic memory mechanism that enables continual learning from experience. -
29
ASAPP
ASAPP
ASAPP creates AI solutions that solve the toughest problems in customer service. With native AI at our core, our solutions get beyond basic automation to dramatically increase contact center capacity. At the center of our approach is GenerativeAgent®—a customer service AI agent that autonomously and safely resolves complex customer interactions over voice and chat. When unable to fully resolve on its own, it knows how and when to involve the right human agents. • Real-time AI-human collaboration with Human-in-the-Loop Agent (HILA) workflow • Full visibility into GenerativeAgent interactions, and Conversation Monitoring for QA at scale • Enterprise-Grade Guardrails & Data Protection • Safely test AI behavior in simulated environments to help you launch confidently Designed for enterprise contact centers, GenerativeAgent® is ideal for organizations handling high volumes of complex voice and chat interactions, including those in regulated industries. -
30
AI Autopilot
AI Autopilot
AI Autopilot is an advanced agentic AI automation platform designed specifically for MSPs to streamline IT operations with intelligent automation. It provides specialized AI agents that handle ticket triage, prioritization, routing, escalation, and SLA monitoring with MSP-grade accuracy. The system integrates natively with major PSA, RMM, documentation, and automation tools like ConnectWise, Autotask, Ninja RMM, IT Glue, Liongard, and Rewst. By automating repetitive tasks, AI Autopilot helps MSPs resolve tickets faster, reduce labor costs, and deliver 24/7 support coverage. Users can even enable ticket creation directly from Microsoft Teams and Slack for a frictionless support experience. With upcoming integrations like MCP, CrewAI, LangChain, and deep RPA orchestration, the platform continues to evolve into a next-generation multi-agent AI infrastructure for MSPs.Starting Price: $99/month -
31
Browser Use
Browser Use
Browser Use is an open source Python library that enables AI agents to interact seamlessly with web browsers. Combining advanced AI capabilities with robust browser automation allows AI agents to perform tasks such as applying for jobs, visiting links, extracting information, and answering messages on platforms like WhatsApp. The library supports multiple large language models, including GPT-4, Claude 3, and Llama 2, facilitating complex web operations through a simple interface. Key features include visual recognition combined with HTML structure extraction for comprehensive web interaction, automatic multi-tab management for handling complex workflows, element tracking by extracting XPaths of clicked elements to repeat exact LLM actions, and the ability to add custom actions like saving to files, database operations, notifications, or human input handling. Browser Use also incorporates intelligent error handling and automatic recovery for robust automation workflows. -
32
GenFlow 2.0
Baidu
GenFlow 2.0 is a next-generation AI agent system powered by Baidu Wenku’s proprietary Multi-Agent Parallel Architecture, orchestrating over 100 AI agents in parallel to reduce complex task processing from hours to under three minutes. It offers full transparency and user control throughout execution. Users can pause tasks at any stage, modify instructions on the fly, and edit intermediate results, ensuring human-AI collaboration remains dynamic and precise. To enhance reliability and accuracy, GenFlow 2.0 autonomously accesses vast knowledge bases, including Baidu Scholar’s 680 million peer-reviewed publications, Baidu Wenku’s 1.4 billion professional documents, and user-approved Netdisk files, leveraging retrieval-augmented generation and multi-agent cross-validation to minimize hallucinations. The platform supports a wide array of multimodal outputs, ranging from copywriting and visual design to slide generation, research reports, animations, and code.Starting Price: Free -
33
Upsonic
Upsonic
Upsonic is an open source framework that simplifies AI agent development for business needs. It enables developers to build, manage, and deploy agents with integrated Model Context Protocol (MCP) tools across cloud and local environments. Upsonic reduces engineering effort by 60-70% with built-in reliability features and service client architecture. It offers a client-server architecture that isolates agent applications, keeping existing systems healthy and stateless. It provides more reliable agents, scalability, and a task-oriented structure needed for completing real-world cases. Upsonic supports autonomous agent characterization, allowing self-defined goals and backgrounds, and integrates computer-use capabilities for executing human-like tasks. With direct LLM call support, developers can access models without abstraction layers, completing agent tasks faster and more cost-effectively. -
34
PromptLayer
PromptLayer
The first platform built for prompt engineers. Log OpenAI requests, search usage history, track performance, and visually manage prompt templates. manage Never forget that one good prompt. GPT in prod, done right. Trusted by over 1,000 engineers to version prompts and monitor API usage. Start using your prompts in production. To get started, create an account by clicking “log in” on PromptLayer. Once logged in, click the button to create an API key and save this in a secure location. After making your first few requests, you should be able to see them in the PromptLayer dashboard! You can use PromptLayer with LangChain. LangChain is a popular Python library aimed at assisting in the development of LLM applications. It provides a lot of helpful features like chains, agents, and memory. Right now, the primary way to access PromptLayer is through our Python wrapper library that can be installed with pip.Starting Price: Free -
35
Delight your customers with human-like AI-powered contact center experiences, lower costs, and free up your human agents' time. Contact Center AI enables you to do just that. Free human agents to focus on more difficult and specialized calls, providing them with real-time information, workflows, and turn-by-turn guidance. Deliver lifelike customer experiences that support accurate multi-turn conversations, built with deep learning technologies powered by Google Assistant. Turn your conversations into insights through analytics and reporting that uncover key call drivers, customer sentiment, and more. Enable rich and conversational experiences with AI-powered capabilities. Contact Center AI offers natural interactions that redefine the possibilities of AI-powered conversation. Empower your teams with actionable insights. Enable natural interactions with virtual agents. Create agents that are superheroes for your customers.
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36
Llama 2
Meta
The next generation of our open source large language model. This release includes model weights and starting code for pretrained and fine-tuned Llama language models — ranging from 7B to 70B parameters. Llama 2 pretrained models are trained on 2 trillion tokens, and have double the context length than Llama 1. Its fine-tuned models have been trained on over 1 million human annotations. Llama 2 outperforms other open source language models on many external benchmarks, including reasoning, coding, proficiency, and knowledge tests. Llama 2 was pretrained on publicly available online data sources. The fine-tuned model, Llama-2-chat, leverages publicly available instruction datasets and over 1 million human annotations. We have a broad range of supporters around the world who believe in our open approach to today’s AI — companies that have given early feedback and are excited to build with Llama 2.Starting Price: Free -
37
ClickUp Super Agents
ClickUp
ClickUp Super Agents introduce human-level AI teammates designed to work alongside people in real workflows. These AI agents can be assigned tasks, mentioned in conversations, and messaged directly, just like human teammates. Super Agents operate autonomously with infinite memory, continuous learning, and real-time context awareness. They support over 500 human-like skills, enabling them to manage projects, write content, analyze data, and automate operations. Multi-agent orchestration allows entire teams of specialized agents to be created from a single prompt. Super Agents work 24/7, proactively assisting through ambient intelligence without constant user input. This transforms productivity by combining human judgment with AI-driven execution at scale. -
38
Peta
Peta
Peta is an enterprise-grade control plane for the Model Context Protocol (MCP) that centralizes, secures, governs, and monitors how AI clients and agents access external tools, data, and APIs. It combines a zero-trust MCP gateway, secure vault, managed runtime, policy engine, human-in-the-loop approvals, and full audit logging into a single platform so organizations can enforce fine-grained access control, hide raw credentials, and track every tool call made by AI systems. Peta Core acts as a secure vault and gateway that encrypts credentials, issues short-lived service tokens, validates identity and policies on each request, orchestrates MCP server lifecycle with lazy loading and auto-recovery, and injects credentials at runtime without exposing them to agents. The Peta Console lets teams define who or which agents can access specific MCP tools in specific environments, set approval requirements, manage tokens, and analyze usage and costs.Starting Price: Free -
39
Foundry
Foundry
Build, evaluate, and improve AI agents that deliver reliable outcomes, blending automation speed with human quality. Build your AI agents with simple prompts and logic, no coding. Or through our API if you prefer that. Track, manage, and evaluate your agents with easy access to metrics and trends in real-time. Improve your models based on the insights from your evaluation. Steer your agents towards desirable outcomes. Use simple prompts and logic to set up main and supporting agents for your tasks. Define when agents require human review to keep standards high. Gather feedback and refine performance for constant improvement. Experiment with approaches to ensure the best results. Use a comprehensive dashboard for instant access to performance insights. Discover flexible solutions for seamless AI management and human oversight. Our system continuously refines agents based on human feedback to keep quality high. -
40
OneSky
OneSky
OneSky Localization Agent (OLA) is a leading multi-agent AI Localization system to free you from micromanaging AI translations. With our multi-AI agent & Multi-LLM architecture, you'll enjoy quality translations without hassle! The Best AI Translation Quality 1. OLA utilizes a team of AI agents by modelling on a human translation agency. This virtual L10N team does not only manage entire localization process end-to-end from context fill-up, translation, review to evaluation, but also produces superior human-like and on-brand translation. 2. OLA boosts translation quality by leveraging an advanced multiple LLMs framework. This innovative approach allows OLA to meticulously compare and cherry-pick the optimal translation, consistently delivering superior results compared to a single LLM. ✔ Define goals – then let a team of AI agents get to work ✔ Achieve 90% human-like quality with a virtual pro L10N team ✔ Save 80% translation cost ✔ Seamlessly integrate with dev pipelinesStarting Price: 29 -
41
Jina Reranker
Jina
Jina Reranker v2 is a state-of-the-art reranker designed for Agentic Retrieval-Augmented Generation (RAG) systems. It enhances search relevance and RAG accuracy by reordering search results based on deeper semantic understanding. It supports over 100 languages, enabling multilingual retrieval regardless of the query language. It is optimized for function-calling and code search, making it ideal for applications requiring precise function signatures and code snippet retrieval. Jina Reranker v2 also excels in ranking structured data, such as tables, by understanding the downstream intent to query structured databases like MySQL or MongoDB. With a 6x speedup over its predecessor, it offers ultra-fast inference, processing documents in milliseconds. The model is available via Jina's Reranker API and can be integrated into existing applications using platforms like Langchain and LlamaIndex. -
42
Craft Talk
Craft Talk
Chat bot will switch to a human agent when needed, suggest an answer and learn from humans to reply correctly. -
43
FastAgency
FastAgency
FastAgency is an open source framework designed to accelerate the deployment of multi-agent AI workflows from prototype to production. It provides a unified programming interface compatible with various agentic AI frameworks, enabling developers to deploy agentic workflows in both development and production settings. With features like multi-runtime support, seamless external API integration, and a command-line interface for orchestration, FastAgency simplifies the creation of scalable, production-ready architectures for serving AI workflows. Currently, it supports the AutoGen framework, with plans to extend support to CrewAI, Swarm, and LangGraph in the future. Developers can easily switch between frameworks, choosing the best one for their project's specific needs. FastAgency also features a common programming interface that enables the development of core workflows once and reuse them across various user interfaces without rewriting code.Starting Price: Free -
44
Mastek icxPro
Mastek
Mastek icxPro is a cloud-native customer experience management platform that leverages built-in AI, machine learning, and natural-language processing to help businesses continuously analyze, understand, and responsibly engage with consumer behaviors. It provides omnichannel self-service enhancement, automated campaign orchestration, and real-time insights to fuel seamless human-agent support, plus comprehensive journey-automation tools for personalized customer interactions. With its AI-powered analytics engine, icxPro accelerates the development of production-ready generative-AI applications, delivering faster time-to-market for domain-specific solutions and superior stakeholder experiences. icxPro’s capabilities include intelligent CX automation, end-to-end campaign management, decision-support dashboards, data-driven product-development alignment, reduced market-research costs, and enterprise-grade security controls. -
45
Callers
Callers
Callers is an AI-powered voice and omnichannel communication platform that automates inbound and outbound customer conversations to qualify leads, schedule meetings, handle support, and re-engage contacts at scale using human-like AI agents available 24/7, reducing manual workload and speeding engagement without extra staff. It unifies conversations across voice calls, SMS, WhatsApp, Telegram, and other channels into a single intelligent “brain,” preserving context so customers never repeat themselves and brands deliver consistent responses; it integrates with CRMs and 300 + tools to personalize dialogues using live data and automate actions before, during, and after interactions. Callers’ AI agents can conduct cold calling to filter and qualify prospects, book appointments, support onboarding and welcome flows, win back churned users, confirm events, and handle inbound queries with natural conversational quality, often connecting qualified leads directly to human teams. -
46
Astera AI Agent Builder
Astera
Astera AI Agent Builder is a no-code, drag-and-drop platform that enables organizations to design, test, and launch intelligent AI agents and applications in hours instead of weeks using visual workflows and their own enterprise data; it eliminates the need for complex coding or specialist expertise by letting business and data experts build solutions that directly connect to databases, APIs, files, and other systems while Astera’s ETL engine handles integration. It is designed to empower users across functions to create agents that automate processes, streamline workflows, and surface insights by leveraging real business data with security and privacy controls, support for bring-your-own large language models (including OpenAI, Claude, Llama, Mistral, or internal models), and flexible deployment options in cloud, on-premises, or hybrid environments. -
47
mcp-use
mcp-use
mcp-use is an open source development platform offering SDKs, cloud infrastructure, and a developer-friendly control plane for building, managing, and deploying AI agents that leverage the Model Context Protocol (MCP). It enables connection to multiple MCP servers, each exposing specific tool capabilities like browsing, file operations, or specialized integrations, through a unified MCPClient. Developers can create custom agents (via MCPAgent) that dynamically select the most appropriate server for each task using configurable pipelines or a built-in server manager. It simplifies authentication, access control, audit logging, observability, sandboxed runtime environments, and deployment workflows, whether self-hosted or managed, making MCP development production-ready. With integrations for popular frameworks like LangChain (Python) and LangChain.js (TypeScript), mcp-use accelerates the creation of tool-enabled AI agents.Starting Price: Free -
48
fileAI
fileAI
The most powerful digitization and categorization tool on the market, processing a wide range of digital, scanned or printed document types, submit documents in any file type and form. With hundreds of available integrations, you stay hands-off on data entry, manual verification or account code tagging. A tool to manage import and export at the same time, stay in control with automatic approvals and notifications. Trigger approvals based on events at your convenience. Send approvals to team members, clients, or stakeholders at once. Remove friction with multi-layered approvals and your most convenient format: email, mobile app or in app. Get a real-time view of your finances every time you check your preferred tools and eliminate human error from your reporting.Starting Price: $99 per month -
49
Dual Web
Dual Web
DualWeb is a smart optimization layer for websites that delivers two distinct versions of your site, one tailored for human users and another structured for AI agents, to enhance both user experience and AI visibility seamlessly. It uses AI detection and redirection to serve AI-friendly content without requiring a full site redesign, ensuring bots receive structured, accessible data while preserving the original human-facing interface. This dual-format design boosts discoverability in AI-driven environments and positions your content favorably for AI-generated answers and ranking algorithms. DualWeb works with your existing site architecture, enabling performance gains for both human and AI visitors through improved accessibility, usability, and content alignment, all achieved with minimal integration effort and without disrupting the UX.Starting Price: $299 per month -
50
Llama 3.3
Meta
Llama 3.3 is the latest iteration in the Llama series of language models, developed to push the boundaries of AI-powered understanding and communication. With enhanced contextual reasoning, improved language generation, and advanced fine-tuning capabilities, Llama 3.3 is designed to deliver highly accurate, human-like responses across diverse applications. This version features a larger training dataset, refined algorithms for nuanced comprehension, and reduced biases compared to its predecessors. Llama 3.3 excels in tasks such as natural language understanding, creative writing, technical explanation, and multilingual communication, making it an indispensable tool for businesses, developers, and researchers. Its modular architecture allows for customizable deployment in specialized domains, ensuring versatility and performance at scale.Starting Price: Free
