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muhammadqasimkalhoro94-blip/claude-zeroclaw-agentics

Analysis updated 2026-05-18

421Audience · developerComplexity · 3/5Setup · moderate

TLDR

A Python framework for running several Claude AI sub-agents at once across repos while sharing one context cache.

Mindmap

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  root((repo))
    What it does
      Runs multiple Claude sub-agents
      Shares context cache
      Coordinates across repos
    Components
      Zeroclaw Router
      Context Cache Engine
      Sub-Agent Manager
      MCP Proxy
      Desktop Bridge
    Tech stack
      Python
      YAML config
      Node.js
    Use cases
      Multi-agent code review
      Multi-repo sweeps
      Desktop bridge mode
    Platforms
      Linux and macOS
      Windows beta
      Termux experimental

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What do people build with it?

USE CASE 1

Coordinate several concurrent Claude agents on different repositories without duplicating shared context.

USE CASE 2

Split a code review into static analysis, dependency auditing, and documentation updates handled by separate agents.

USE CASE 3

Combine multiple MCP server connections into a single proxied stream.

What is it built with?

PythonYAMLNode.jsMCP

How does it compare?

muhammadqasimkalhoro94-blip/claude-zeroclaw-agenticsariefcahyasubagja/subnautica-csharp-toolkitbharathkumarsuresh/claude-design-system-hooks
Stars421421421
Setup difficultymoderatemoderatehard
Complexity3/53/51/5
Audiencedevelopergeneralgeneral

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires Python 3.10+, the Claude Code CLI, and Node.js 18+ for MCP proxy support.

No license information is described in the README.

In plain English

This repository presents a tool called Claude-Zeroclaw, described as a framework for running multiple Claude AI sub-agents across different code repositories and tool servers simultaneously while sharing a common context cache. The README frames the core problem as Claude Code operating in a single bounded session per invocation, and positions Zeroclaw as a way to coordinate several concurrent Claude instances without duplicating context between sessions. The README describes five main components: a Zeroclaw Router that directs requests to the appropriate sub-agent, a Context Cache Engine described as reducing token usage by approximately 60 percent, a Sub-Agent Manager that spawns and coordinates multiple Claude instances, an MCP Proxy that combines multiple MCP server connections into a single stream, and a Desktop Bridge in beta that links Claude Desktop with Claude Code running in a terminal. A diagram in the README shows a central Claude instance routing tasks to four sub-agents covering code analysis, MCP integration, desktop control, and SDK interaction. A YAML configuration example in the README shows how sub-agents are defined with model assignments, per-agent instructions, and designated MCP server connections. A code review profile distributes static analysis, dependency auditing, and documentation updates across three separate agents, each using a different Claude model. Multi-repo sweep mode and desktop bridge mode are demonstrated in command-line examples. Installation is via pip as claude-zeroclaw or from source. Prerequisites include Python 3.10 or later, the Claude Code CLI, and Node.js 18 or later for MCP proxy support. The README lists Linux and macOS as fully supported, Windows 11 as beta, and WSL2 as fully supported. Android via Termux is listed as experimental. The README is 13,323 characters and lists no programming language.

Copy-paste prompts

Prompt 1
Walk me through installing claude-zeroclaw with pip and setting up a basic sub-agent YAML config.
Prompt 2
Show me a YAML profile that splits a code review across three agents using different Claude models.
Prompt 3
How does the Context Cache Engine in this tool reduce token usage across sub-agents?
Prompt 4
Help me set up the MCP Proxy to combine two MCP server connections into one stream.

Frequently asked questions

What is claude-zeroclaw-agentics?

A Python framework for running several Claude AI sub-agents at once across repos while sharing one context cache.

What license does claude-zeroclaw-agentics use?

No license information is described in the README.

How hard is claude-zeroclaw-agentics to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is claude-zeroclaw-agentics for?

Mainly developer.

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