v0.1.0 — First Public Enterprise Release

v0.1.0 — First Public Enterprise Release

Date: 2026-02-28

One-line pitch

Transform OpenClaw into an enterprise multi-agent AI: one CEO objective, automatically dispatched to the right departments.

What this release does

• Exposes a production-ready MCP wrapper for OpenClaw orchestration.
• Adds enterprise controls: policy engine, allowlist, audit logging, observability, cost guard.
• Adds dual memory context retrieval (local + memory bridge API) before critical executions.
• Ships a firm adapter connected to setup-vs-agent-firm (CEO + departments + services).

Included scope (core + firm)

• Core orchestration layer:
  • dispatch (openclaw_dispatcher, WS/webhook fallback)
  • routing (model_router)
  • policy (policy_engine)
  • memory (memory_os_ai_store, bridge API, sqlite fallback)
  • cost/ops (cost_guard, telemetry, dashboard snapshot)
• Firm extension layer:
  • repository sync/status/load tools (firm_*)
  • delivery workflow orchestration (firm_run_delivery_*)

Install in 3 commands

git clone https://github.com/romainsantoli-web/mcp-openclaw.git
cd mcp-openclaw && python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt && cp .env.example .env && ./scripts/start.sh

Local endpoints

• MCP: http://127.0.0.1:8011/mcp
• Prometheus: http://127.0.0.1:9108/metrics
• Memory Bridge: http://127.0.0.1:9120/context/query

Companion repositories

• mcp-openclaw: https://github.com/romainsantoli-web/mcp-openclaw
• setup-vs-agent-firm: https://github.com/romainsantoli-web/setup-vs-agent-firm

Next recommended distribution steps

1. Submit listing PR to awesome-openclaw.
2. Publish firm-orchestration listing on ClawHub.
3. Publish demo GIF pointing to this stable release URL.