Crime Team: Multi-Agent Orchestrator for OpenClaw — Parallel Code Review with Coder Agent

Crime Team v0.1.0 is a multi-agent orchestrator built on top of OpenClaw. You give it one task; a Producer agent plans it, dispatches specialist agents in parallel, then integrates all replies into one answer. Every agent turn is an OpenClaw agent subprocess — OpenClaw owns auth, models, and sandbox; Crime Team just drives the team.
How it works
Define a roster of specialist agents, each with its own system prompt (e.g., architect, security, perf) and per-agent model + thinking level. The Producer merges their findings. A Coder agent (--use-coder) takes the integrated audit and actually edits the files. A re-audit loop (--loop N) applies changes, re-audits, repeats, and stops early on AUDIT CLEAN.
Key features
- Per-agent system prompts — build a roster of specialists, each with its own expert persona.
- Per-agent model + thinking level — spend tokens where they matter, go cheap where they don't.
- Parallel dispatch — specialists run concurrently, then the Producer merges findings.
- Coder agent (
--use-coder) — applies changes instead of just talking. - Re-audit loop (
--loop N) — iterative fix until clean. - Projects as 'groups' — each project gets its own Producer + roster, so teams don't bleed into each other.
- Desktop GUI (Tauri/Windows) — scan a project and it proposes a team; edit rosters, run tasks, browse run history.
- Smart-dispatch — let the Producer pick who's relevant instead of fanning out to everyone.
Get it
CLI if you want scriptable, GUI if you don't. MIT licensed. Repo + Windows installer: github.com/fortisq/crime_team
📖 Read the full source: r/openclaw
👀 See Also

Helix: Open-Source Framework Turns Claude into Personal AI Agent for macOS
Helix is an open-source framework that connects Claude via Claude Code in Terminal to macOS through four MCP server plugins, enabling Claude to control applications, maintain persistent memory, run scheduled tasks, and operate with local voice processing.

Running Multiple Claude Code Sessions in Parallel with Git Worktrees
A developer shares how they use git worktrees to run multiple Claude Code sessions on separate branches without stashing or context switching. Review diffs, merge, and move on.

skill-depot: A Local-First Memory and Skill System for MCP-Compatible AI Agents
skill-depot is a retrieval system that stores agent knowledge as Markdown files and uses vector embeddings to semantically search and selectively load only relevant content. It runs 100% locally with no API keys, works with any MCP-compatible agent, and can be set up with npx skill-depot init.

Agent Safehouse: macOS-native sandboxing for local AI coding agents
Agent Safehouse is a macOS-native sandboxing tool that prevents local AI agents from accessing files outside your project directory using kernel-level enforcement. It's a single shell script with no dependencies that works with Claude Code, Codex, OpenCode, Amp, Gemini CLI, Aider, Goose, Auggie, Pi, Cursor Agent, Cline, Kilo, Code Droid, and other agents.