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.
Build multimodal AI agents with memory, knowledge and tools. Simple, fast and model-agnostic agent framework.
Enterprise-grade, commercial-friendly agentic workflow platform for building AI agents. Offers low-code development and multi-agent orchestration capabilities.
Documentation portal for xAI, offering guides and information on how to use their products and services, with OpenAPI specifications available for integration.
AgentRx is an automated diagnostic framework for pinpointing critical failures in complex AI agents, supporting more robust development and debugging.
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.
Intelligent memory layer for AI assistants and agents, enabling personalized interactions through persistent cross-session memory.
Documentation for xAI developers focusing on models, providing insights into their AI models and integration capabilities via OpenAPI specifications.
Aider is an AI pair programmer that runs in your terminal, supporting over 100 languages and Git integration for coding assistance.
LiveKit provides a platform for building voice, video, and physical AI agents, offering comprehensive documentation for developers.
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.
An open-source, low-code platform for building AI agents and LLM orchestrations visually, enabling rapid development of AI-powered applications.
Shopify developer documentation provides guidance on building a Storefront AI agent, an AI-powered shopping assistant to help customers find products and complete purchases.
AI Agent Workflows provides an API for website categorization and URL classification, enabling automated analysis and data generation for web content.
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 official documentation portal for the Databricks Lakehouse Platform, offering comprehensive guides, tutorials, and API references for data engineering, data science, and machine learning.
Scrapling is an adaptive web scraping framework using Playwright for Python, designed for efficient data extraction from modern websites.
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.
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.
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.
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.
Agentic document processing leverages AI agents for end-to-end autonomous document workflows, including OCR and data extraction, with LlamaIndex.
Article demonstrating AI agentic workflows in financial decision-making, such as personal loan origination, leveraging domain-specific knowledge.
The fastest local AI engine for Apple Silicon, offering significantly faster inference speeds compared to alternatives like Ollama.
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.
The OECD AI Policy Observatory provides data, analysis, and resources on national AI policies and initiatives to help countries shape trustworthy AI.
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.
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.
Documentation portal for xAI, covering topics such as multi-agent systems and developer resources, with OpenAPI specifications available for integration.
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.
Automates data intake and analysis for policy underwriting, accelerating decisions and improving risk accuracy by addressing manual process inefficiencies.
A comparison of multi-agent frameworks focusing on graph control, observability, durable execution, MCP support, and agency fit, with four reference architectures.
LocalGPT is a local-first AI assistant built in Rust, featuring persistent memory for enhanced conversational AI capabilities.
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.
Agent Hooks in AgentScope allow customization of agent behavior by defining functions called at different lifecycle stages, enabling more dynamic and responsive interactions.
LlamaParse, by LlamaIndex, is an advanced agentic OCR solution for processing complex documents, including messy tables, charts, and images, with high accuracy.
Open-source protocol for creating, deploying, and managing autonomous AI agents across social platforms and web3.
KG-Agent is an efficient autonomous agent for complex reasoning and task execution, presented in a 2025 ACL Anthology publication.
Claude Workflow Library is a resource providing pre-built workflows and examples for utilizing Claude's AI capabilities.
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.
Python framework for building reliable AI applications, featuring risk detection, structured output generation, and LLM guardrails to ensure safety and correctness.
Multi-agent framework by Microsoft for developing LLM applications with conversational agents that collaborate to solve tasks.
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.
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.
Documentation for Automation Co-Pilot, providing resources and tutorials for users on their automation journey with Automation Anywhere.
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.
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.
