AtlasAgent - an auditable AI agent control plane: evidence-backed memory, governed tool runtime, checkpoint DAG recovery, and a 55-chapter engineering tutorial. FastAPI / Next.js PWA / Textual TUI
Open-source Agent Operating System
AI agent microservice
Install, run and deploy your own decentralized AI agent service
A framework-agnostic, git-native standard for defining AI agents
A kit for building with AI agents and also the engineering patterns around it.
Multi-Agent Harness for Production AI
Build autonomous AI agents in Python.
Trigger.dev – build and deploy fully‑managed AI agents and workflows
A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing
Research that compiles.
Superseded by coding-agent-toolkit — see README. Preserved for reference: Claude-Code-only patterns from earlier iteration.
Eigent: The Open Source Cowork Desktop - Local and Free Alternative to Claude Cowork and Codex
This package implements Agent Skills (https://agentskills.io) support with progressive disclosure for Pydantic AI. Supports filesystem and programmatic skills.
A security scanner for your LLM agentic workflows
Web Graphical User Interface (GUI) for Gas Town multi-agent orchestrator - A companion interface for steveyegge/gastown
An MCP server that allows users to dynamically add custom tools/functions at runtime
Open-source desktop AI agent that gets work done — plans & self-corrects, agentic visual workflows, generative UI, and 100+ offline tools in one self-hostable stack.
Curated list of Agent Skills for AI coding agents like Claude Code, Codex and Cursor.
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support
Multi-agent systems, memory, planning, reasoning loops
Durable single-Agent Harness for TypeScript: recoverable Threads, context continuity, explicit side effects, and a native TUI.
A lightweight agent harness you bolt onto your app so an LLM can operate it — safely, and cheaply.
A minimal yet powerful framework for creating AI agents with full control over tools, providers, and execution flow.