Build autonomous AI agents in Python.

Trigger.dev – build and deploy fully‑managed AI agents and workflows

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Superseded by coding-agent-toolkit — see README.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

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.

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.

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

🌋 Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools — in just a few lines of TypeScript.

Remote approvals, policy checks, and execution evidence for unattended AI agents.

Persistent Claude Code agents with scheduling, sessions, memory, and Telegram.

Agentic AI explained with chickens 🐔 every pattern a runnable, CI-checked file.

A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.

A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.

A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (+RAG, Agents). Monthly Updates.

ADE( Agentic Development Environment) The spec-driven environment for AI coding agents, where your planning becomes lasting, shared project context.

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.