The open-source ACP orchestrator AIntegriX launched as the first open-source ACP orchestrator, a server that coordinates multiple AI coding agents through a single API. The tool acts as an ACP multiplexer, enabling parallel agent execution, task chaining in pipelines, and automated Git event triggers — capabilities previously unavailable with independent ACP agents. The open-source ACP orchestrator. One API. Five agents. Infinite possibilities. AIntegriX is the first open-source ACP orchestrator — a server that coordinates multiple Agent Client Protocol https://agentclientprotocol.com agents through a single API. The Agent Client Protocol ACP is the open standard that connects code editors with AI coding agents — the same way LSP standardized language servers. Every major coding agent now speaks ACP: Kiro, GitHub Copilot, Claude Code, OpenCode, Codex CLI, and 30+ more https://agentclientprotocol.com/agents . Each ACP agent runs independently. You can't: - Ask one agent to delegate work to another - Send the same prompt to multiple agents and compare - Chain agents in a pipeline generate → review → fix - Auto-trigger agents on Git events AIntegriX acts as an ACP multiplexer . It spawns agents as subprocesses, speaks JSON-RPC 2.0 over stdio with each one, and exposes them all through a single MCP/REST endpoint. Your Agent any MCP-compatible tool │ ▼ MCP / REST ┌─────────────────────────────────┐ │ AIntegriX │ │ Route • Orchestrate • Stream │ │ ACP Client │ └──┬──────┬──────┬──────┬──────┬──┘ │ │ │ │ │ JSON-RPC 2.0 / stdio ▼ ▼ ▼ ▼ ▼ Kiro Copilot OpenCode Claude Codex ACP ACP ACP ACP ACP One prompt. Any agent. Real results. | Problem | Solution | |---|---| | Each agent has different strengths | Smart routing picks the best agent for each task | | Can't compare agent responses | Orchestration sends to N agents in parallel | | No way to chain agent work | Pipelines feed output from one agent to the next | | Agents can't read your latest code | Auto-clone from your Git remote or direct local filesystem | | Responses arrive all at once | SSE streaming shows chunks in real-time | | Manual code review requests | Webhooks auto-trigger review on MR open | ┌─────────────────────────────────────────────────────────────┐ │ YOUR DEVELOPMENT FLOW │ ├─────────────────────────────────────────────────────────────┤ │ │ │ 1. Code locally │ │ │ │ │ 2. Ask AIntegriX: │ │ "Review src/ for security issues" │ │ │ │ │ 3. AIntegriX routes to Claude security expert │ │ │ │ │ 4. Claude reads your files, analyzes, responds │ │ │ │ │ 5. You get the review in your agent's context │ │ │ │ ─── OR ─── │ │ │ │ Pipeline: OpenCode generates → Claude reviews → Kiro fixes │ │ │ │ ─── OR ─── │ │ │ │ Race: Send to 3 agents, first response wins │ │ │ └─────────────────────────────────────────────────────────────┘ Install git clone git@github.com:alfonsodg/aintegrix.git cd aintegrix cargo build --release ./configs/install.sh ~/.local/share/aintegrix Add to your agent's MCP config { "mcpServers": { "aintegrix": { "command": "mcp-proxy", "args": "-H", "Authorization", "Bearer aintegrix-local-key-2026", "--transport", "streamablehttp", "http://localhost:8050/mcp" , "env": {} } } } { "mcpServers": { "aintegrix": { "url": "https://your-server.example.com/mcp", "type": "http", "headers": {"Authorization": "Bearer