We map 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.
AgentRx is an automated diagnostic framework for pinpointing critical failures in complex AI agents, supporting more robust development and debugging.
AI Agent Workflows provides an API for website categorization and URL classification, enabling automated analysis and data generation for web content.
Documentation portal for xAI, covering topics such as multi-agent systems and developer resources, with OpenAPI specifications available for integration.
LiveKit provides a platform for building voice, video, and physical AI agents, offering comprehensive documentation for developers.
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.
Automates data intake and analysis for policy underwriting, accelerating decisions and improving risk accuracy by addressing manual process inefficiencies.
Open-source protocol for creating, deploying, and managing autonomous AI agents across social platforms and web3.
Exa MCP server for web search and web crawling, providing AI search engine capabilities and a web search API. Enables searching and extracting structured content from live data.
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.
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.
Enterprise-grade, commercial-friendly agentic workflow platform for building AI agents. Offers low-code development and multi-agent orchestration capabilities.
Agent Hooks in AgentScope allow customization of agent behavior by defining functions called at different lifecycle stages, enabling more dynamic and responsive interactions.
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.
KG-Agent is an efficient autonomous agent for complex reasoning and task execution, presented in a 2025 ACL Anthology publication.
Build multimodal AI agents with memory, knowledge and tools. Simple, fast and model-agnostic agent framework.
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.
The fastest local AI engine for Apple Silicon, offering significantly faster inference speeds compared to alternatives like Ollama.
Claude Workflow Library is a resource providing pre-built workflows and examples for utilizing Claude's AI capabilities.
The official documentation portal for the Databricks Lakehouse Platform, offering comprehensive guides, tutorials, and API references for data engineering, data science, and machine learning.
Shopify developer documentation provides guidance on building a Storefront AI agent, an AI-powered shopping assistant to help customers find products and complete purchases.
Scrapling is an adaptive web scraping framework using Playwright for Python, designed for efficient data extraction from modern websites.
Model Context Protocol (MCP) is an open standardized protocol for connecting LLMs to external tools, APIs, databases, and services, enabling clients to access tools exposed by an MCP server.
Documentation for xAI developers focusing on models, providing insights into their AI models and integration capabilities via OpenAPI specifications.
Intelligent memory layer for AI assistants and agents, enabling personalized interactions through persistent cross-session memory.
Google's Developer Knowledge API and MCP Server provide a machine-readable way for AI assistants and agentic platforms to access up-to-date documentation for Google products.
An open-source, low-code platform for building AI agents and LLM orchestrations visually, enabling rapid development of AI-powered applications.
Aider is an AI pair programmer that runs in your terminal, supporting over 100 languages and Git integration for coding assistance.
DecisionRules provides documentation for its SDK and libraries, including information on MCP servers and a documentation server, facilitating integration and understanding of their offerings.
A registry for open-source MCP Servers, clients, tools, and integrations, featuring daily updated servers and various MCP implementations.
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.
Domain-specific MCP Servers hosted on GitHub, providing access to code, repositories, users, issues, and pull requests. Offers documentation and API documentation.
Modular Python framework and cloud platform for building, deploying, and scaling AI applications and agents, enabling orchestration of multiple AI models and agents.
SkillsMP is a marketplace for agent skills compatible with Claude Code, Codex CLI, and ChatGPT, using the SKILL.md format for AI coding assistants.
Article demonstrating AI agentic workflows in financial decision-making, such as personal loan origination, leveraging domain-specific knowledge.
Website Testimonial Collection AI Agent gathers client feedback seamlessly using Jotform's AI Agents.
Rapid agent development framework in Python for building autonomous AI agents, supporting multiple LLM providers and tool integration.
LangChain Deep Agents documentation provides resources for developing applications powered by language models, including extensive documentation and API references for the LangChain framework.
Build AI agents and multi-agent workflows in .NET and Python with Microsoft Agent Framework.
Framework for orchestrating role-playing, autonomous AI agents that collaborate to complete complex tasks.
TypeScript AI agent framework with assistants, RAG, and observability. Supports GPT-4, Claude, Gemini, Llama.
Automates the entire claims processing lifecycle for faster, more accurate, and cost-effective resolutions, addressing manual process inefficiencies.
Automaker is an open-source AI software engineer for agented coding, enabling autonomous AI agents to build, run, and fix code for entire applications.
Open source framework for building stateful LLM applications with advanced reasoning and transparent long-term memory.
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.
MCP server for EPA air quality data and HUD foreclosure listings. Connects AI assistants to environmental monitoring and housing property data.
LiveKit provides a platform for building voice, video, and physical AI agents, offering comprehensive documentation for developers.
MCP-native agent framework with elicitation support, managing long tool loops, LLM+tool streams, session control, and export to Hugging Face with advanced model support.
Browser automation CLI tool for AI agents, developed by Vercel Labs. Contribute via GitHub.
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.
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.
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.
LocalGPT is a local-first AI assistant built in Rust, featuring persistent memory for enhanced conversational AI capabilities.
Model Context Protocol (MCP) server and CLI for AI agents to autonomously build, test, and debug iOS apps within Xcode, bridging AI and development workflows.
Experimental open-source attempt to make GPT-4 fully autonomous with chained LLM thoughts for goal achievement.
AI Agent is a tool found on FlowHunt designed to help users build teams of AI agents for various tasks, with pricing information available.
Ghidra MCP Server is a project offering 110 tools for AI-assisted reverse engineering, indicated by an HN Show HN post. It leverages the Model-Context Protocol for its operations.
LlamaParse, by LlamaIndex, is an advanced agentic OCR solution for processing complex documents, including messy tables, charts, and images, with high accuracy.
MCP Aggregator, Orchestrator, Middleware, and Gateway in one Docker container. Provides tools for managing and integrating MCP servers.
Python framework for building reliable AI applications, featuring risk detection, structured output generation, and LLM guardrails to ensure safety and correctness.
Duralang is a decorator that transforms LangChain LLM, tool, and MCP calls into Temporal Activities, enabling durable execution for AI agent workflows.
ChipAgents provides an agentic AI chip design environment, enabling faster iteration on chip design and verification by collaborating with AI agents within a code editor.
Tutorial on building a local multi-agent system using IBMยฎ Granite and BeeAI in Python to negotiate contractual agreements between companies.
MCP servers providing EPA air quality monitoring and HUD foreclosure data, offering tools for environmental and housing data access.
Documentation for Automation Co-Pilot, providing resources and tutorials for users on their automation journey with Automation Anywhere.
Warp is an open-source U.S. freight network offering a shipper API, Model Context Protocol server for AI agents, and AI-powered routing with transparent pricing for various freight types.
A comprehensive MCP server hosted on GitHub, exposing dozens of capabilities to AI agents, facilitating agent interaction and functionality.
Tracecat is a platform that allows users to drive workflows and cases through MCP clients like Claude, Cursor, and ChatGPT, enabling building, editing, and running automations.
Prior Labs offers TabPFN MCP, a beta tool for LLMs to make predictions on tabular data, providing enhanced data analysis capabilities.
Kore.ai documentation for building and deploying AI agents at enterprise scale, emphasizing quick, secure, and flexible implementation.
Provides continuous, automated assurance for your partner ecosystem by auditing manual partner processes, mitigating blind spots and financial risk.
Google Workspace MCP Server for integrating AI assistants with Gmail, Google Calendar, Docs, Sheets, Slides, and Tasks via the Model Context Protocol.
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.
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.
An AI agent framework for FinTech operations that automates merchant onboarding, AML list checks, and risk assessments, enabling faster ROI with human control.
