Agents
2,252Autonomous AI agents that perform tasks independently
A Python-based Agentic RAG system that uses local LLMs (Ollama) for intelligent documentation crawling, summarization, and vector embeddings (Supabase). Features a self-correcting agentic loop that dynamically refines answers through tool usage and validation, providing a robust, local solution for accurate information retrieval and generation.
Universal autonomous agent framework with ReAct loop, multi-provider LLM routing, reasoning graph, and MCP integration, domain-agnostic for building specialized AI agents.
AgentLens — Observability and Explainability for AI Agents
🤖 AI-powered software development pipeline driven by 6 specialized agents. Transforms plain English requirements into production-ready code — fully automating planning, development, code reviews, and deployment configs using Next.js and Groq's Free API.
Lightweight multi-agent orchestration framework. Define agents, chain them into workflows, and manage state across handoffs — sequential, parallel, and conditional execution.
A zero-trust encrypted transport layer for AI agents and tools, with AES-GCM encryption, HMAC signing, and identity-aware JSON-RPC messaging.
Dual-interface AI platform: CLI agent (Iolaus) + web command center (Zeus). Event-driven microservice architecture with real-time WebSocket communication.
An open framework for building self-improving AI agent teams. Includes a meta-agent architecture with independent auditing, git-backed evolution, and structured feedback loops. Ships with a complete marketing team, a reusable team-builder skill, and a portable prompt that works with any LLM.
A self-learning, objective-driven AGI operating core. Zero pre-built tools, pure rational reasoning, and autonomous skill generation via Python execution.
Lightweight (and therefore powerful) Rust agent framework inspired by Browser Use's Agent SDK
The League of Agents (OpenLOA): An extensible orchestration framework for creating personalized AI agents with modular tools and custom interfaces. (智能体联盟 (OpenLOA)：一个可扩展的编排框架，用于通过模块化工具和自定义界面创建个性化 AI 智能体。)
Self-describing UI framework for AI agents — 50 Material Design 3 web components with runtime introspection
The minniest of the mini openclaw-knockoff for protocol testing and micro-sized deployments
AI agent for scientific claim verification with LLM reasoning and Neo blockchain scoring.
MALS — Multi-Agent Living Space: A blackboard-architecture-based multi-agent collaboration framework
A modular multi-agent framework for transparent, tool-augmented decision making.
The official architecture and reference implementation for the SprintLoop Enterprise OS — an AI-native SDLC and agentic development framework for enterprise teams.
A minimal, bus-driven Python framework for LLM agent orchestration that decouples communication, versioned prompts, and multi-agent patterns—helping AI architects build scalable, vendor-neutral agent systems without infrastructure lock-in.
Multi-agent AI teams that work like real software organizations. Orchestrate Claude Code, Codex & Gemini CLI with human team dynamics - delegation, collaboration, Jira integration.
An operating system for autonomous AI agents — 5-tier cache-first routing (97.5% cost reduction), Ed25519 constitution enforcement, 130 agents, 106 plugins. Rust.
Self-refining AI agents for software development — critique every session, accumulate evidence, and automatically improve their own system prompts. Works with Claude Code & GitHub Copilot.
Agent Collaboration Hub: Multi-Agent System (PM/SA/PG) for Requirements Analysis & Code Generation.