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SpoonOs Exaspoon monorepo: Unified repository for all ExaSpoon projects including exaspoon_next, exaspoon2, exaspoon-demo, and n8n_pack

An agent operating system where agents are born, sleep, heal, evolve, and die. Local-first, no frameworks, raised by wolves.

Official JSONFIRST community node for n8n — Convert natural language to governed JDON intents

Dynamic AI Agent Framework - Create, orchestrate, and manage AI agents with YAML configs, MCP tool integration, and linear workflow execution using AutoGen and Google Gemini.

Your agents have things to say. Now they have a voice to say them with.

Autonomous AI agent orchestration engine with local-first runtime, explicit governance, and extensible workflow automation. FastAPI backend with Ollama-powered LLM integration.

Offline-first LLM orchestration CLI for planning and executing human-approved tasks via validated git patches, with reproducible runs and full auditability.

A TypeScript library for creating A2A (Agent-to-Agent) protocol servers with decorators — "NestJS for AI agents". Build AI agent APIs with zero runtime dependencies.

Microsoft Agent Framework (MAF) getting started — presentation series with runnable .NET samples

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Deterministic, auditable, capability-safe autonomous agent framework in Rust. Event-sourced, replayable, with governed self-evolution.

The self-optimization layer for AI agents.

JSONFIRST integration package — jsonfirst.com

Agent orchestration framework for Claude Code — domain experts, security hooks, and self-improving knowledge bases.

V11 AI Agent Orchestration — 100+ agents, 48 skills, 12 lifecycle hooks, spec-driven wave-based parallel execution.

OpenMolt lets you build programmatic AI agents in Node.js that think, plan, and act using tools, integrations, and memory — directly from your codebase.

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

An open-source SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skills and subagents, it handles different levels of tasks that could take minutes to hours.

Fast, small, and fully autonomous AI assistant infrastructure — deploy anywhere, swap anything 🦀

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.