An official Docker AI Agent builder and runtime that enables multi-agent orchestration, model-agnostic scheduling, and OCI-standard distribution through declarative YAML/HCL configuration.
A SPEC-first agentic orchestration framework for Claude Code that drives high-quality software delivery through the Harness Engineering paradigm.
Open-source MCP Host framework that wraps MCP Servers into full-featured AI Agents with reasoning, tool orchestration, and rich interactive UI.
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.
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.
Write agentic workflows in natural language markdown and run them in GitHub Actions. Developed by GitHub Next and Microsoft Research.
An all-in-one AI agent development platform with visual tools that simplify the creation, debugging, and deployment of AI agents, allowing developers to focus on creating core AI value.
tRPC-Agent-Go is a powerful Go framework for building intelligent agent systems using large language models (LLMs) and tools, featuring intelligent reasoning, rich tool ecosystems, persistent memory, and multi-agent collaboration capabilities.
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