Lists (14)
Stars
The best-benchmarked open-source AI memory system. And it's free.
TUI dashboard that monitors all active Claude Code sessions in real time
A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future …
An autonomous agent for deep financial research
Official repo for spec & SDK of MCP Apps protocol - standard for UIs embedded AI chatbots, served by MCP servers
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
A collection of sample agents built with Agent Development Kit (ADK)
Agent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - well-equipped to handle complex agentic tasks.
A lightweight, powerful framework for multi-agent workflows
Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
Collection of leaked system prompts
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
Paper2Agent is a multi-agent AI system that automatically transforms research papers into interactive AI agents with minimal human input.
A flexible multi-interface AI agent framework for building agents with reasoning, tool use, memory, deep research, blockchain interaction, MCP, and agents-as-a-service.
MCP Aggregator, Orchestrator, Middleware, Gateway in one docker
The official Python SDK for Model Context Protocol servers and clients
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP Support
Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.
🔎 Open source distributed and RESTful search engine.
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
This repo powers my experiment where ChatGPT manages a real-money micro-cap stock portfolio.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
TradingAgents: Multi-Agents LLM Financial Trading Framework
SoTA LLM for converting natural language questions to SQL queries