AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).
AI Orchestration GitHub Repositories (2026) · Open Source Tools
Discover the best AI Orchestration open source repositories on GitHub. Explore trending tools, live star counts, source code, and developer projects updated daily.
List of agent orchestrators
Self-hosted, open-source agent skill registry for enterprises. Publish & version skill packages, govern with RBAC and audit logs, deploy on-premise with Docker or Kubernetes.
Your Company Agentic Operating System
A visual multi-agent desktop for Codex: live tasks, shared projects, isolated Missions, and OpenCodex models on Windows.
One pod for your team and the agents each of you runs: your own Claude Code, or a hosted agent in one click. Open source (Apache-2.0), self-hostable.
Turn tracker tickets into autonomous agent sessions
Local AI coding orchestration for repo-scale work: LLM-council planning, Ralph-loop recovery, isolated OpenCode worktrees, and human-gated PR delivery.
Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.
Run multiple AI models against the same research, design, or coding task. Surface disagreements before you ship.
Declarative AI pipelines in one YAML file. Tokens, audio chunks, and video frames flow between isolated components. Compose 100+ components for models, agents, speech, vision, and live broadcast. Run local models, cloud APIs, or both. Inspired by docker-compose.
The open-source governance layer for AI agents: write the rules declaratively, Bernstein enforces them and produces the verifiable, replayable record. Free, Apache-2.0. https://bernstein.run
TUI for easily running parallel coding agents