Claw Code Agent: Python Reimplementation of Claude Code Architecture for Local Models
Claw Code Agent is a complete Python reimplementation of the Claude Code agent architecture, built from reverse-engineering work shared in a tweet. The project addresses the original Claude Code's npm/TypeScript/Rust implementation, which can be challenging for Python developers to read or extend.
Core Features
The agent implements a full agentic coding loop with tool calling. Key components include:
- Core tools: file read/write/edit, glob, grep, shell
- Slash commands: /help, /context, /tools, /memory, /status, /model
- Context engine with CLAUDE.md discovery
- Session persistence — save and resume agent runs
- Tiered permissions: read-only → write → shell → unsafe
Model Compatibility
The agent works with any OpenAI-compatible backend:
- vLLM (documented path)
- Ollama
- LiteLLM Proxy
The recommended model is Qwen3-Coder-30B-A3B-Instruct, which runs fully local and free.
Development Status
The project is actively maintained with the team working on adding features and accepting pull requests. Users are encouraged to open issues for missing features or bugs.
This implementation makes the Claude Code architecture accessible to Python developers who want to understand, modify, and run agentic coding systems with local models.
📖 Read the full source: r/LocalLLaMA
👀 See Also
OnPrem.LLM AgentExecutor: Launch Sandboxed AI Agents with Built-in Tools
OnPrem.LLM's AgentExecutor lets you create autonomous AI agents that execute complex tasks using cloud or local models, with nine built-in tools including file operations, shell commands, and web search. You can run agents in sandboxed containers for security.
Caddie: Slack-Based OpenClaw Alternative Launches Next Week
Caddie is a Slack-based version of OpenClaw that requires no local installation or MCP configuration. Users authorize it through the Slack App Directory in 60 seconds, then type commands to automate tasks across Gmail, LinkedIn, CRM, calendar, and 100+ other tools.
Building a Self-Improving Knowledge System with Claude Code and Obsidian
A developer built a 25-tool system that gives Claude Code persistent memory through semantic search, knowledge graphs, and spaced repetition over an Obsidian vault. The system indexes content with bge-m3 embeddings, detects contradictions, auto-prunes stale notes, and generates Obsidian Canvas maps automatically.
Benchmark Results for Small Local and OpenRouter Models on Agentic Text-to-SQL Task
A developer tested multiple small local and OpenRouter models using a custom agentic text-to-SQL benchmark that converts English queries to SQL with debugging rounds. The benchmark includes 25 questions, runs in under 5 minutes, and reveals top performers like kimi-k2.5 and Qwen 3.5 variants.