AI-powered command-line micro agent framework that wraps shell commands as LLM-callable functions via TOML configuration, with multi-LLM backend and MCP protocol support for safe natural-language-to-system-operation translation.
A peer-supervised multi-agent coding system built on behavioral contracts. Enforces Tier 0 invariants to constrain AI coding agent behavior, supports Planner-Coder-Reviewer role separation with external validation, transforming AI coding agents from "eager assistants" into "reliable senior engineering peers".
Open-source MCP-Native Agent framework and standalone MCP Host that transforms MCP Servers into rich AI Agents, with multi-model support, embeddable deployment, and a built-in interactive chat client.
A fully autonomous AI agent orchestration platform that transforms PRDs into runnable MVPs via multi-role collaboration (PM/Engineer/QA), featuring self-maintenance and Git-backed task persistence.
An official open-source AI agent runtime and builder by Docker. Written in Go, it supports zero-code agent creation via declarative YAML, featuring multi-agent orchestration, MCP tool integration, RAG capabilities, and OCI image distribution.
A Go-based LLM/AI application development framework open-sourced by CloudWeGo (ByteDance), providing component abstractions, agent orchestration, graph/chain workflows, and streaming capabilities.
A unified AI Agent CLI and reusable Go agent core supporting CLI, Daemon, Web Console, and Telegram/Slack Bot runtimes with built-in security auditing, credential control, and an extensible skill system.
A file-based (Maildir-style) message queue for local agent-to-agent communication — zero infrastructure, crash-safe, providing the missing coordination layer for multi-agent development.
An open-source Go-based application engine integrating autonomous agent framework, GraphRAG knowledge retrieval, and full-stack runtime in a single binary for building web apps, REST APIs, and edge intelligence services.
A persistent, containerized multi-member AI agent system where each bot runs in an isolated containerd container with structured long-term memory, supporting Telegram, Discord, Lark platforms and MCP protocol extensions.
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