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Claw Code Agent

A Python reimplementation of the Claude Code agent architecture โ€” local models, full control.

Python 3.10+ GitHub vLLM Qwen3-Coder Alpha License

--- ## ๐Ÿ“– About This repository reimplements the [Claude Code](https://docs.anthropic.com/en/docs/claude-code) npm agent architecture **entirely in Python**, designed to run with **local open-source models** via an OpenAI-compatible API server. Built on the public porting workspace from [instructkr/claw-code](https://github.com/instructkr/claw-code), the active development lives at [HarnessLab/claw-code-agent](https://github.com/HarnessLab/claw-code-agent). > **Goal:** Not to ship the original npm source, but to reimplement the full agent flow in Python โ€” prompt assembly, context building, slash commands, tool calling, session persistence, and local model execution. --- ## โœจ Key Features | Feature | Description | |---------|-------------| | ๐Ÿค– **Agent Loop** | Full agentic coding loop with tool calling and iterative reasoning | | ๐Ÿงฐ **Core Tools** | File read / write / edit, glob search, grep search, shell execution | | ๐Ÿ’ฌ **Slash Commands** | Local commands: `/help`, `/context`, `/tools`, `/memory`, `/status`, `/model`, and more | | ๐Ÿง  **Context Engine** | Automatic context building with CLAUDE.md discovery and usage reporting | | ๐Ÿ”„ **Session Persistence** | Save and resume agent sessions across runs | | ๐Ÿ” **Permission System** | Granular control: `--allow-write`, `--allow-shell`, `--unsafe` | | ๐Ÿ—๏ธ **OpenAI-Compatible** | Works with any OpenAI-compatible model server (vLLM, Ollama, etc.) | | ๐Ÿ‰ **Qwen3-Coder** | First-class support for `Qwen3-Coder-30B-A3B-Instruct` via vLLM | --- ## ๐Ÿ“‹ Roadmap ### Done - [x] Python CLI agent loop - [x] OpenAI-compatible local model backend - [x] Qwen3-Coder support through vLLM with `qwen3_xml` tool parser - [x] Core tools: `list_dir`, `read_file`, `write_file`, `edit_file`, `glob_search`, `grep_search`, `bash` - [x] Context building and `/context`-style usage reporting - [x] Slash commands: `/help`, `/context`, `/context-raw`, `/prompt`, `/permissions`, `/model`, `/tools`, `/memory`, `/status`, `/clear` - [x] Session persistence and `agent-resume` flow - [x] Permission system (read-only, write, shell, unsafe tiers) - [x] Unit tests for the Python runtime - [x] `pyproject.toml` packaging with `setuptools` ### In Progress - [ ] Full plugin and MCP server parity - [ ] Complete slash-command parity with npm runtime - [ ] Full interactive REPL / session persistence parity - [ ] Tokenizer-accurate context accounting - [ ] Remote runtime modes (SSH, teleport, deep-link) - [ ] Voice and VIM modes - [ ] Hooks system - [ ] Cost tracking and budget limits --- ## ๐Ÿ—๏ธ Architecture ```text claw-code/ โ”œโ”€โ”€ README.md โ”œโ”€โ”€ pyproject.toml โ”œโ”€โ”€ .gitignore โ”œโ”€โ”€ images/ โ”‚ โ””โ”€โ”€ logo.png โ”œโ”€โ”€ src/ # Python implementation โ”‚ โ”œโ”€โ”€ main.py # CLI entry point & argument parsing โ”‚ โ”œโ”€โ”€ agent_runtime.py # Core agent loop (LocalCodingAgent) โ”‚ โ”œโ”€โ”€ agent_tools.py # Tool definitions & execution engine โ”‚ โ”œโ”€โ”€ agent_prompting.py # System prompt assembly โ”‚ โ”œโ”€โ”€ agent_context.py # Context building & CLAUDE.md discovery โ”‚ โ”œโ”€โ”€ agent_context_usage.py # Context usage estimation & reporting โ”‚ โ”œโ”€โ”€ agent_session.py # Session state management โ”‚ โ”œโ”€โ”€ agent_slash_commands.py # Local slash command processing โ”‚ โ”œโ”€โ”€ agent_types.py # Shared dataclasses & type definitions โ”‚ โ”œโ”€โ”€ openai_compat.py # OpenAI-compatible API client โ”‚ โ”œโ”€โ”€ session_store.py # Session serialization & persistence โ”‚ โ”œโ”€โ”€ permissions.py # Tool permission filtering โ”‚ โ”œโ”€โ”€ tools.py # Mirrored tool inventory โ”‚ โ”œโ”€โ”€ commands.py # Mirrored command inventory โ”‚ โ”œโ”€โ”€ ... # 75+ modules across 30+ packages โ”‚ โ”œโ”€โ”€ plugins/ # Plugin subsystem (WIP) โ”‚ โ”œโ”€โ”€ hooks/ # Hook system (WIP) โ”‚ โ”œโ”€โ”€ remote/ # Remote runtime modes (WIP) โ”‚ โ”œโ”€โ”€ voice/ # Voice mode (WIP) โ”‚ โ””โ”€โ”€ vim/ # VIM mode (WIP) โ””โ”€โ”€ tests/ # Unit tests โ”œโ”€โ”€ test_agent_runtime.py โ”œโ”€โ”€ test_agent_context.py โ”œโ”€โ”€ test_agent_context_usage.py โ”œโ”€โ”€ test_agent_prompting.py โ”œโ”€โ”€ test_agent_slash_commands.py โ””โ”€โ”€ test_porting_workspace.py ``` --- ## ๐Ÿ“ฆ Requirements | Requirement | Details | |-------------|---------| | ๐Ÿ Python | `3.10` or higher | | ๐Ÿ–ฅ๏ธ Model Server | Any OpenAI-compatible server (vLLM recommended) | | ๐Ÿง  Model | [`Qwen/Qwen3-Coder-30B-A3B-Instruct`](https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct) (recommended) | --- ## ๐Ÿš€ Quick Start ### 1. Start vLLM with Qwen3-Coder vLLM must be started with automatic tool choice enabled. Use the `qwen3_xml` parser for Qwen3-Coder tool calling: ```bash python -m vllm.entrypoints.openai.api_server \ --model Qwen/Qwen3-Coder-30B-A3B-Instruct \ --host 127.0.0.1 \ --port 8000 \ --enable-auto-tool-choice \ --tool-call-parser qwen3_xml ``` Verify the server is running: ```bash curl http://127.0.0.1:8000/v1/models ``` > ๐Ÿ“š **References:** [vLLM Tool Calling Docs](https://docs.vllm.ai/en/v0.13.0/features/tool_calling/) ยท [OpenAI-Compatible Server](https://docs.vllm.ai/en/v0.13.0/serving/openai_compatible_server.html) ### 2. Configure Environment ```bash export OPENAI_BASE_URL=http://127.0.0.1:8000/v1 export OPENAI_API_KEY=local-token export OPENAI_MODEL=Qwen/Qwen3-Coder-30B-A3B-Instruct ``` ### 3. Run the Agent ```bash # Read-only question python3 -m src.main agent \ "Read src/agent_runtime.py and summarize how the loop works." \ --cwd . # Write-enabled task python3 -m src.main agent \ "Create TEST_QWEN_AGENT.md with one line: test ok" \ --cwd . --allow-write # Shell-enabled task python3 -m src.main agent \ "Run pwd and ls src, then summarize the result." \ --cwd . --allow-shell ``` --- ## ๐Ÿ› ๏ธ Usage ### Agent Commands | Command | Description | |---------|-------------| | `agent ` | Run the agent with a prompt | | `agent-prompt` | Show the assembled system prompt | | `agent-context` | Show estimated context usage | | `agent-context-raw` | Show the raw context snapshot | | `agent-resume ` | Resume a saved session | ### CLI Flags | Flag | Description | |------|-------------| | `--cwd ` | Set the workspace directory | | `--model ` | Override the model name | | `--base-url ` | Override the API base URL | | `--allow-write` | Allow the agent to modify files | | `--allow-shell` | Allow the agent to execute shell commands | | `--unsafe` | Allow destructive shell operations | | `--show-transcript` | Print the full message transcript | | `--system-prompt ` | Set a custom system prompt | | `--append-system-prompt ` | Append to the system prompt | | `--add-dir ` | Add extra directories to context | ### Slash Commands These are handled **locally** before the model loop: | Command | Aliases | Description | |---------|---------|-------------| | `/help` | `/commands` | Show built-in slash commands | | `/context` | `/usage` | Show estimated session context usage | | `/context-raw` | `/env` | Show raw environment & context snapshot | | `/prompt` | `/system-prompt` | Render the effective system prompt | | `/permissions` | โ€” | Show active tool permission mode | | `/model` | โ€” | Show or update the active model | | `/tools` | โ€” | List registered tools with permission status | | `/memory` | โ€” | Show loaded CLAUDE.md memory bundle | | `/status` | `/session` | Show runtime/session status summary | | `/clear` | โ€” | Clear ephemeral runtime state | ```bash python3 -m src.main agent "/help" python3 -m src.main agent "/context" --cwd . python3 -m src.main agent "/tools" --cwd . python3 -m src.main agent "/status" --cwd . ``` ### Utility Commands ```bash python3 -m src.main summary # Workspace summary python3 -m src.main manifest # Workspace manifest python3 -m src.main commands --limit 10 # Command inventory python3 -m src.main tools --limit 10 # Tool inventory ``` --- ## ๐Ÿ”ง Built-in Tools The agent has access to 7 core tools: | Tool | Description | Permission | |------|-------------|------------| | `list_dir` | List files and directories | ๐ŸŸข Always | | `read_file` | Read file contents (with line ranges) | ๐ŸŸข Always | | `write_file` | Write or create files | ๐ŸŸก `--allow-write` | | `edit_file` | Edit files via exact string matching | ๐ŸŸก `--allow-write` | | `glob_search` | Find files by glob pattern | ๐ŸŸข Always | | `grep_search` | Search file contents by regex | ๐ŸŸข Always | | `bash` | Execute shell commands | ๐Ÿ”ด `--allow-shell` | --- ## ๐Ÿ”„ Session Persistence Each `agent` run automatically saves a resumable session: ```text session_id=4f2c8c6f9c0e4d7c9c7b1b2a3d4e5f67 session_path=.port_sessions/agent/4f2c8c6f... ``` Resume a previous session: ```bash python3 -m src.main agent-resume \ 4f2c8c6f9c0e4d7c9c7b1b2a3d4e5f67 \ "Continue the previous task and finish the missing parts." ``` Inspect saved sessions: ```bash ls -lt .port_sessions/agent ``` > **Note:** Run `agent-resume` from the same `claw-code/` directory where the session was created. A resumed session continues from the saved transcript, not from scratch. --- ## ๐Ÿงช Testing Run the full test suite: ```bash python3 -m unittest discover -s tests -v ``` Smoke tests: ```bash python3 -m src.main agent "/help" python3 -m src.main agent-context --cwd . python3 -m src.main agent \ "Read src/agent_session.py and summarize the message flow." \ --cwd . ``` --- ## ๐Ÿ” Permission Model Claw Code Agent uses a **tiered permission system** to keep the agent safe by default: | Tier | Capability | Flag Required | |------|-----------|---------------| | **Read-only** | List, read, glob, grep | None (default) | | **Write** | + file creation and editing | `--allow-write` | | **Shell** | + shell command execution | `--allow-shell` | | **Unsafe** | + destructive shell operations | `--unsafe` | --- ## โš ๏ธ Disclaimer - This repository is a **Python reimplementation** inspired by the Claude Code npm architecture. - It does **not** ship the original npm source. - It is **not** affiliated with or endorsed by Anthropic. ---

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