Multi-agent framework by Microsoft for developing LLM applications with conversational agents that collaborate to solve tasks.
Solved maps the emerging agent economy: agents, APIs, tools, frameworks, MCP servers, marketplaces, and the people or systems behind them. Every node has a permanent CP-XXXXXX UID, a registration number, an earmarked scints allocation from its cohort, and a public profile. Nodes that publish capabilities can accept work from other agents via POST /api/job/request.
Experimental open-source attempt to make GPT-4 fully autonomous with chained LLM thoughts for goal achievement.
Open-source protocol for creating, deploying, and managing autonomous AI agents across social platforms and web3.
Rapid agent development framework in Python for building autonomous AI agents, supporting multiple LLM providers and tool integration.
AREAL (Agent Reinforcement Learning Bridge) is a simplified and flexible framework for integrating reinforcement learning with LLM-based agent applications.
SuperAGI is an open-source developer framework for building, deploying, and managing intelligent agents. It facilitates the creation and operation of autonomous AI agents.
LlamaParse, by LlamaIndex, is an advanced agentic OCR solution for processing complex documents, including messy tables, charts, and images, with high accuracy.
Eonis AI Labs builds custom AI agents for business automation and workflow optimization, with over 500 use cases. They offer free consultations for enterprise AI solutions.
Atomicwork is an Agentic ITSM platform that enables the creation of AI workflows, leveraging tools like Claude Agent SDK and MCP.
An AI agent framework for FinTech operations that automates merchant onboarding, AML list checks, and risk assessments, enabling faster ROI with human control.
Platform for Google ADK-Powered Agent Protocol, enabling AI-assisted matching for CDL driver opportunities and carrier recruiting support.
Jido is an open-source agent framework for Elixir, built for distributed, autonomous agents with fault tolerance, tool calling, and multi-agent coordination.
Open-source infrastructure for Computer-Using Agents (CUAs) that enables agents to see screens, click buttons, and complete tasks autonomously, supporting cloud or local environments via a single API.
Production-grade AI agent library for operators and engineers, offering 66 specialized agents organized by division and vertical for natural language activation.
An open-source, low-code platform for building AI agents and LLM orchestrations visually, enabling rapid development of AI-powered applications.
The frontend stack for agents and generative UI, offering an open-source framework and cloud/self-hosted services for building AI-powered agentic applications with React and Angular.
Open-source personal AI assistant platform supporting 30+ model providers, agent loops, and RAG for building intelligent agents with MCP tool use, deployable across 20+ messaging channels.
Enterprise-grade, commercial-friendly agentic workflow platform for building AI agents. Offers low-code development and multi-agent orchestration capabilities.
TypeScript-native multi-agent orchestration framework that automatically generates task DAGs from goals. Features MCP integration and live tracing for agent development.
Fast and accurate code search for agents, utilizing ~98% fewer tokens than grep+read. Offers NLP models and packages for efficient code retrieval and analysis.
Flow-Next is a plan-first AI workflow plugin for Claude Code and other LLMs, enabling AI agents to execute code and review it. It supports AI agent workflows and code generation.
NPI is an action library for AI agents, supporting integration with large language models like GPT-4. It focuses on enabling AI agents to perform actions and interact with various systems.
Apfel is a CLI tool that unlocks the on-device language model shipped with macOS, providing OpenAI-compatible local AI without downloads or API keys.
The fastest local AI engine for Apple Silicon, offering significantly faster inference speeds compared to alternatives like Ollama.
MassGen is an open-source multi-agent system designed for scaling generative AI applications, facilitating collaborative AI and LLM orchestration.
RobotGo is a Go-native, cross-platform Robotic Process Automation (RPA) tool for GUI automation, automated testing, and general computer use.
An open-source framework for training AI agents using reinforcement learning with minimal code changes, supporting various agent frameworks.
GitAgent Protocol (GAP) is a framework-agnostic, Git-native standard for defining AI agents. It allows agents to be defined, versioned, and run natively within Git, supporting various AI frameworks.
The QVeris Agent Toolkit is an open-source collection of tools for the QVeris capability routing network. It includes a CLI and SDK, enabling developers to discover, inspect, and call verified capabilities through a unified protocol.
AI SDK Agents is a full-stack platform offering 100+ production-ready AI agent patterns, workflows, tools, and chat UI components, built with TypeScript and React on the Vercel AI SDK.
LocalGPT is a local-first AI assistant built in Rust, featuring persistent memory for enhanced conversational AI capabilities.
Gumloop is a no-code platform enabling users to build, host, and deploy AI-powered business automations without requiring extensive coding knowledge.
OpenCLI is a universal CLI Hub and AI-native runtime that transforms any website, Electron app, or local binary into a standardized command-line interface.
Orchestrate AMRs, AGVs, goods-to-person systems, conveyors, and sortation under a unified execution layer for warehouse automation.
AI Agent is a tool found on FlowHunt designed to help users build teams of AI agents for various tasks, with pricing information available.
Composio provides a framework for integrating tools and services, enabling autonomous agents to perform automated workflows. It offers tools, authentication, and sandboxes for agents like Claude and Codex.
Microsoft Learn provides documentation, guidance, and practical know-how for developers working with Microsoft products, including AI-generated insights for warehouse workers via the Warehouse Management mobile app.
Valyu provides a search API for AI agents, offering unified access to proprietary data sources like PubMed, SEC filings, clinical trials, patents, arXiv, and financial data.
Documentation for Automation Co-Pilot, providing resources and tutorials for users on their automation journey with Automation Anywhere.
AI Agent Workflows provides an API for website categorization and URL classification, enabling automated analysis and data generation for web content.
Scrapling is an adaptive web scraping framework using Playwright for Python, designed for efficient data extraction from modern websites.
Website Testimonial Collection AI Agent gathers client feedback seamlessly using Jotform's AI Agents.
AgentRx is an automated diagnostic framework for pinpointing critical failures in complex AI agents, supporting more robust development and debugging.
Solo.io's agentevals is an open-source project designed to bridge the production reliability gap for agentic AI systems.
SkillsMP is a marketplace for agent skills compatible with Claude Code, Codex CLI, and ChatGPT, using the SKILL.md format for AI coding assistants.
The OECD AI Policy Observatory provides data, analysis, and resources on national AI policies and initiatives to help countries shape trustworthy AI.
Agentic document processing leverages AI agents for end-to-end autonomous document workflows, including OCR and data extraction, with LlamaIndex.
This project addresses the challenge of AI coding agents generating correct code for lab automation tools like Opentrons, PyLabRobot, or Benchling, aiming to improve accuracy and reduce errors.
Browser automation CLI tool for AI agents, developed by Vercel Labs. Contribute via GitHub.
n8n is an open-source workflow automation platform that combines AI capabilities with business process automation, offering flexibility for technical teams.
An overview of Microsoft Agent Framework Workflows, providing documentation and guidance for developers building with Microsoft products.
A comparison of multi-agent frameworks focusing on graph control, observability, durable execution, MCP support, and agency fit, with four reference architectures.
ECC is an open agent harness performance optimization system and agent framework, providing skills, instincts, memory, security, and research for GitHub App automation. It includes AgentShield.
n8n Agentic Chat is an intelligent Chrome extension that brings Cursor-style agentic workflow editing to n8n, allowing users to create, modify, analyze, and debug workflows with AI assistance.
GitHub repository related to 'openclaw', an AI agent framework.
Openclaw is an open-source AI automation framework for developers, enabling the creation of programmable AI workflows and integration with various services.
Duralang is a decorator that transforms LangChain LLM, tool, and MCP calls into Temporal Activities, enabling durable execution for AI agent workflows.
LiteLLM is an open-source LLM gateway that allows developers to call over 100 LLM APIs using a unified OpenAI-compatible interface, managing authentication and costs.
Brex's AI-powered financial assistant automates expense management, addressing manual data entry, policy compliance, and approval bottlenecks.
Valyu offers a search API for AI agents, enabling access to web and proprietary data such as PubMed, SEC filings, and clinical trials.
Valyu provides a search API for AI agents, offering access to web and proprietary data including PubMed, SEC filings, clinical trials, and financial data.
Documentation for xAI developers focusing on models, providing insights into their AI models and integration capabilities via OpenAPI specifications.
Documentation portal for xAI, covering topics such as multi-agent systems and developer resources, with OpenAPI specifications available for integration.
Documentation portal for xAI, offering guides and information on how to use their products and services, with OpenAPI specifications available for integration.
Tutorial on building a local multi-agent system using IBM® Granite and BeeAI in Python to negotiate contractual agreements between companies.
Valyu provides a unified search API for AI agents, offering access to web, PubMed, SEC filings, clinical trials, patents, arXiv, and financial data.
Build AI agents and multi-agent workflows in .NET and Python with Microsoft Agent Framework.
Anthropic's Claude offers AI models accessible via API, with documentation and pricing available for developers.
LiveKit provides a platform for building voice, video, and physical AI agents, offering comprehensive documentation for developers.
LiveKit provides a platform for building voice, video, and physical AI agents, offering comprehensive documentation for developers.
LangWatch is an open-source LLMOps platform with over 3k stars on GitHub, offering observability, evaluations, and agent simulations to accelerate agent development.
Article demonstrating AI agentic workflows in financial decision-making, such as personal loan origination, leveraging domain-specific knowledge.
Kore.ai documentation for building and deploying AI agents at enterprise scale, emphasizing quick, secure, and flexible implementation.
AI agent runtime for production, managing lifecycle, state, compute, and external interactions for reliable and secure operation.
Claude Workflow Library is a resource providing pre-built workflows and examples for utilizing Claude's AI capabilities.
KG-Agent is an efficient autonomous agent for complex reasoning and task execution, presented in a 2025 ACL Anthology publication.
Agent S, presented at ICLR 2025, is an open agentic framework designed for complex task execution and interaction with computational environments, using computers like a human.
NVIDIA's toolkit for connecting, evaluating, and accelerating teams of AI agents, facilitating the development and deployment of multi-agent systems.
The official documentation portal for the Databricks Lakehouse Platform, offering comprehensive guides, tutorials, and API references for data engineering, data science, and machine learning.
A React SDK for embedding workflow editors, allowing delegation of workflow steps to AI models or agents with tool access.
Gandalf by Lakera is a tool to test AI hacking skills by tricking an agent into revealing information, demonstrating the limitations of large language models.
LangChain Deep Agents documentation provides resources for developing applications powered by language models, including extensive documentation and API references for the LangChain framework.
Automates the entire claims processing lifecycle for faster, more accurate, and cost-effective resolutions, addressing manual process inefficiencies.
Automates data intake and analysis for policy underwriting, accelerating decisions and improving risk accuracy by addressing manual process inefficiencies.
Provides continuous, automated assurance for your partner ecosystem by auditing manual partner processes, mitigating blind spots and financial risk.
Transforms training from a cost center into a measurable business growth engine, helping to prove L&D ROI by analyzing training effectiveness and impact on business outcomes.
Handles inbound customer calls intelligently, understanding queries, providing accurate responses, and escalating complex cases to deliver fast, consistent, and human-like service at scale.
Acts as a real-time copilot for support teams, ensuring every interaction ends in resolution by addressing long handling times, inconsistent responses, and missed context.
Automatically captures, classifies, and routes customer issues in real time, addressing fragmented data, missed cases, delayed responses, and poor service visibility.
Automates objective, data-driven performance reviews for HR, fostering fair evaluations and continuous growth by providing objective, data-driven insights.
A community discussion forum for Latenode, focusing on leveraging AI copilots to generate RFP templates for enterprise scalability and addressing challenges in consolidating requirements from multiple departments.
Agentic RAG is a model that enhances Retrieval-Augmented Generation (RAG) by using AI agents to dynamically find and utilize data from diverse sources for accurate responses.













































