AI Orchestration GitHub Repositories

🏛️ 三省六部制 · OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails

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.

Surface AI blindspots before you ship. Put up to 8 AI models on every research, design or coding task.

Open-source multi-agent collaboration system inspired by Chinese governance — deploy and coordinate specialized AI agents with OpenClaw.

List of agent orchestrators

Open-source room for humans + cross-vendor AI agents. Every agent gets its own name, memory, skills, and workstation. Any runtime, your infra — no per-agent fees.

Deterministic orchestrator for CLI coding agents (Claude Code, Codex, Gemini CLI, +40 more). No model in the coordination loop, so parallel runs in per-task git worktrees replay byte-identically. Signed lineage plus an opt-in HMAC audit chain a reviewer checks offline. Cluster mode, air-gap deploy. Status: beta. https://bernstein.run

AI Agent Orchestrator with Skills System - Give AI Agents superpowers: memory search, code graph queries, agent-to-agent messaging. Manage Claude, Codex or any AI Agent from one dashboard. Move Agents between computers and locations

Integrated sandbox for coding agents. Browser, dependencies, dev server, and workspace in one disposable environment. Local-first. No hosted sandbox. No SaaS account required.

The action firewall for AI agents. Enforce policy and human approval before risky tool calls, shell commands, workflows, and production changes, with auditable evidence.

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.

Bridging the BMad Method to OpenClaw — Structured AI-driven development workflows.

Opencode Plugin for AI-Agent Orchestration

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).

GigaAgent — это универсальный агент-оркестратор для решения широкого круга задач (ReAct + REPL)

Multi-agent orchestration for Claude Code. Persistent memory, tasks, rules, and skills that make AI agents actually coordinate.

TUI for easily running parallel coding agents

Autonomous orchestration framework for Claude Code with MemPalace-inspired memory (4-layer stack, 818-token wake-up), parallel-first Agent Teams (6 teammates), Aristotle First Principles methodology, and 4-stage quality gates. 925+ tests, 22 active hooks, automatic learning pipeline.

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.

Multi-Agent AI Task Orchestrator 2026

ECS World Model Architecture: Real-Time Data AI Framework 2026

Top Open-Source AI Engineering Platform 2026 Qyvaria Kernel

Multi-AI orchestration framework for Claude Code — coordinate Claude, Codex, and Gemini with 7 workflow modes, parallel execution, and session unification

Turn your product into an AI-powered assistant

Checks AI-written pull requests for tricks that make code look done when it isn't, like weakened tests and hidden errors. Warns a human by default; only blocks a merge when it can prove the problem.

Autonomous AI-agent orchestration engine for job discovery with decision traces, tool adapters, and production-grade run control.

Agent Harness Platform — shareable workspaces, MCP tools, skills, memory, and cron/webhook automations. Self-hosted and transparent.

Continuum — the agent runtime by ShyftLabs. Build, orchestrate, ship.

AxonFlow: Runtime control layer for production AI