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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

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.

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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.

Interactive AI agent built with Ollama that enables conversational interactions with web search capabilities. Features multi-turn conversations, real-time web research, and robust error handling using local LLM models.

CLI for AI coding agents: persistent tasks, memory, events, and deterministic resume across crashes and session resets.

Zero-token execution layer for AI agents — define workflows once, execute forever. DAG engine with reasoning nodes, event sourcing, scheduling, and secret vault via 6 MCP tools over SSE.

BACH v3.7.1 — Text-based OS for LLMs. Personal Agentic OS with 109+ handlers, 373+ tools, 932+ skills, portable agents, MCP servers, bridge system (Telegram/REST), LLM chain orchestration, and full EN/DE multilingual support.