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feat: level-up repo presentation — codecov, docs site, competitor table, CONTRIBUTING
- CI: add pytest-cov + codecov upload + dynamic test badge generation - README: add competitor comparison table, "Who Uses This" section, demo output - README: replace hardcoded test badge with codecov, add docs link - CONTRIBUTING.md: expand from 36 lines to full guide (setup, workflow, style, stages) - docs/: full MkDocs Material site (getting-started, architecture, API, benchmarks) - GitHub Actions: add docs.yml workflow for auto-deploy to GitHub Pages - GitHub Topics: replace generic topics with specific ones (fusion-pipeline, tree-sitter, etc.) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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.github/workflows/ci.yml

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run: |
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python -m pip install --upgrade pip
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pip install -e ".[dev,accurate]"
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pip install pytest-cov
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- name: Run tests
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run: pytest tests/ -v --tb=short
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- name: Run tests with coverage
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run: pytest tests/ -v --tb=short --cov=scripts --cov=claw_compactor --cov-report=xml --cov-report=term-missing
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- name: Upload coverage to Codecov
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if: matrix.python-version == '3.12'
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uses: codecov/codecov-action@v4
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with:
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file: ./coverage.xml
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fail_ci_if_error: false
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env:
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CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
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- name: Generate test badge data
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if: matrix.python-version == '3.12' && github.ref == 'refs/heads/main'
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run: |
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# Count passed tests from pytest output
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RESULT=$(pytest tests/ --tb=no -q 2>&1 | tail -1)
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PASSED=$(echo "$RESULT" | grep -oP '\d+ passed' | grep -oP '\d+' || echo "0")
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FAILED=$(echo "$RESULT" | grep -oP '\d+ failed' | grep -oP '\d+' || echo "0")
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if [ "$FAILED" = "0" ]; then
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COLOR="brightgreen"
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MSG="${PASSED} passed"
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else
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COLOR="red"
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MSG="${PASSED} passed, ${FAILED} failed"
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fi
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mkdir -p .badges
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cat > .badges/tests.json << EOF
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{
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"schemaVersion": 1,
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"label": "tests",
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"message": "$MSG",
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"color": "$COLOR"
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}
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EOF
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- name: Deploy badge to gist
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if: matrix.python-version == '3.12' && github.ref == 'refs/heads/main'
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uses: schneegans/dynamic-badges-action@v1.7.0
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with:
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auth: ${{ secrets.GIST_TOKEN }}
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gistID: ${{ vars.BADGE_GIST_ID }}
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filename: claw-compactor-tests.json
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label: tests
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message: ${{ env.TEST_MSG || 'passing' }}
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color: ${{ env.TEST_COLOR || 'brightgreen' }}

.github/workflows/docs.yml

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name: Deploy Docs
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on:
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push:
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branches: [main]
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paths:
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- 'docs/**'
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- 'mkdocs.yml'
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permissions:
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contents: write
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jobs:
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deploy:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: '3.12'
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- name: Install mkdocs
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run: pip install mkdocs-material
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- name: Deploy to GitHub Pages
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run: mkdocs gh-deploy --force

CONTRIBUTING.md

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# Contributing to Claw Compactor
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Thanks for your interest in contributing!
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Thanks for your interest in contributing! Claw Compactor is an open-source project and we welcome contributions of all kinds.
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## Quick Start
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## Getting Started
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### Prerequisites
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- Python 3.9+
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- Git
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### Setup
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```bash
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git clone https://github.com/aeromomo/claw-compactor.git
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# Fork the repository on GitHub, then:
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git clone https://github.com/YOUR_USERNAME/claw-compactor.git
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cd claw-compactor
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pip install -e .
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# Create a virtual environment
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python -m venv .venv
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source .venv/bin/activate # or .venv\Scripts\activate on Windows
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# Install in development mode with all extras
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pip install -e ".[dev,accurate]"
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# Verify everything works
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pytest tests/ -x -q
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```
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## Development
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## Development Workflow
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- Python 3.9+
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- Run tests: `python -m pytest`
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- This project uses MIT license
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### 1. Find Something to Work On
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- Check [open issues](https://github.com/open-compress/claw-compactor/issues) — look for `good first issue` or `help wanted` labels
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- Have an idea? Open an issue first to discuss before investing time
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### 2. Create a Branch
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## Pull Request Process
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```bash
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git checkout -b feat/your-feature-name
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# or: fix/your-bug-fix, docs/your-doc-update
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```
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### 3. Make Your Changes
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- Follow existing code style and patterns
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- Keep changes focused — one feature or fix per PR
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- Add tests for new functionality
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### 4. Test Your Changes
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```bash
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# Run the full test suite
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pytest tests/ -x -q
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# Run a specific test file
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pytest tests/test_fusion_engine.py -v
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# Run with coverage
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pytest tests/ --cov=scripts --cov=claw_compactor --cov-report=term-missing
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```
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1. Fork the repository
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2. Create a branch from `main`
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3. Make focused changes with tests
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4. Open a descriptive PR
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All PRs must pass CI on Python 3.9–3.12. The test suite has 1600+ tests — don't be alarmed, they run fast.
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### 5. Submit a PR
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1. Push your branch to your fork
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2. Open a Pull Request against `main`
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3. Fill in the PR template with a clear description
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4. Link any related issues
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## Code Guidelines
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### Architecture
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Claw Compactor is built around a 14-stage Fusion Pipeline. Each stage is a self-contained compressor inheriting from `FusionStage`. See [ARCHITECTURE.md](ARCHITECTURE.md) for the full design.
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### Key Principles
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- **Immutability**`FusionContext` is frozen. Every stage produces a new `FusionResult`. Never mutate inputs.
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- **Gate-before-compress** — Each stage has `should_apply()`. If a stage doesn't apply to the content type, it should be a no-op at zero cost.
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- **Zero required dependencies** — The core pipeline runs without any external packages. Optional dependencies (tiktoken, tree-sitter) are runtime-detected.
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### Adding a New Fusion Stage
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1. Create a new file in `scripts/lib/fusion/stages/`
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2. Inherit from `FusionStage`
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3. Implement `should_apply()` and `apply()`
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4. Register it in the stage registry
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5. Add tests covering happy path, edge cases, and the gate condition
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```python
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from scripts.lib.fusion.base import FusionStage, FusionContext, FusionResult
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class MyStage(FusionStage):
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name = "my_stage"
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order = 22 # controls execution order in the pipeline
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def should_apply(self, ctx: FusionContext) -> bool:
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return ctx.content_type == "log"
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def apply(self, ctx: FusionContext) -> FusionResult:
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compressed = my_logic(ctx.content)
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return FusionResult(content=compressed, ...)
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```
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### Style
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- Type hints on all public functions
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- Docstrings for non-obvious logic
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- Functions under 50 lines, files under 800 lines
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- No deep nesting (4 levels max)
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## Reporting Issues
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Please include:
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- Clear reproduction steps
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- Expected vs actual behavior
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- Python version and OS
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- **Python version** (`python --version`)
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- **OS** (macOS, Linux, Windows)
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- **Steps to reproduce** — minimal example preferred
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- **Expected vs actual behavior**
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- **Traceback** if applicable
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## Community
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- [Discord](https://discord.com/invite/clawd) — ask questions, discuss ideas
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- [GitHub Discussions](https://github.com/open-compress/claw-compactor/discussions) — longer-form conversations
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## License
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By contributing, you agree your contributions will be licensed under MIT.
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By contributing, you agree that your contributions will be licensed under the [MIT License](LICENSE).

README.md

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![Claw Compactor Banner](assets/banner.png)
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[![CI](https://github.com/open-compress/claw-compactor/actions/workflows/ci.yml/badge.svg)](https://github.com/open-compress/claw-compactor/actions)
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[![Tests](https://img.shields.io/badge/tests-1663%20passed-brightgreen)](https://github.com/open-compress/claw-compactor)
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[![codecov](https://codecov.io/gh/open-compress/claw-compactor/graph/badge.svg)](https://codecov.io/gh/open-compress/claw-compactor)
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[![Python](https://img.shields.io/badge/python-3.9%2B-blue)](https://python.org)
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[![License](https://img.shields.io/badge/license-MIT-purple)](LICENSE)
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[![PyPI](https://img.shields.io/pypi/v/claw-compactor?color=blue&label=PyPI)](https://pypi.org/project/claw-compactor/)
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[![Downloads](https://img.shields.io/pypi/dm/claw-compactor?color=green&label=downloads)](https://pypi.org/project/claw-compactor/)
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[![Stars](https://img.shields.io/github/stars/open-compress/claw-compactor?style=social)](https://github.com/open-compress/claw-compactor)
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**15–82% compression depending on content &middot; Zero LLM inference cost &middot; Reversible &middot; 1663 tests**
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**15–82% compression depending on content &middot; Zero LLM inference cost &middot; Reversible &middot; 1600+ tests**
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[Architecture](ARCHITECTURE.md) &middot; [Benchmarks](#benchmarks) &middot; [Quick Start](#quick-start) &middot; [API](#api)
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[Documentation](https://open-compress.github.io/claw-compactor) &middot; [Architecture](ARCHITECTURE.md) &middot; [Benchmarks](#benchmarks) &middot; [Quick Start](#quick-start) &middot; [API](#api)
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</div>
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Claw Compactor is an open-source **LLM token compression engine** built around a 14-stage **Fusion Pipeline**. Each stage is a specialized compressor — from AST-aware code analysis to JSON statistical sampling to simhash-based deduplication — chained through an immutable data flow architecture where each stage's output feeds the next.
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### Demo
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```
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$ claw-compactor benchmark ./my-workspace
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Claw Compactor v7.0 — Fusion Pipeline Benchmark
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─────────────────────────────────────────────────
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Scanning workspace... 47 files, 234,891 tokens
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Stage Results:
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┌──────────────────┬──────────┬───────────┬──────────┐
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│ Stage │ Applied │ Reduction │ Time │
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├──────────────────┼──────────┼───────────┼──────────┤
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│ Cortex │ 47/47 │ — │ 12ms │
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│ Photon │ 3/47 │ 2.1% │ 4ms │
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│ RLE │ 41/47 │ 8.3% │ 6ms │
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│ SemanticDedup │ 47/47 │ 12.7% │ 18ms │
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│ Ionizer │ 8/47 │ 71.2% │ 9ms │
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│ Neurosyntax │ 23/47 │ 18.4% │ 31ms │
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│ TokenOpt │ 47/47 │ 4.1% │ 3ms │
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│ Abbrev │ 12/47 │ 6.8% │ 5ms │
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└──────────────────┴──────────┴───────────┴──────────┘
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Summary:
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Before: 234,891 tokens ($2.35 at GPT-4 rates)
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After: 108,250 tokens ($1.08)
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Saved: 126,641 tokens (53.9%) — $1.27/run
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Time: 88ms total
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Estimated monthly savings at 100 runs/day: $3,810
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```
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---
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## How It Compares
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| Feature | Claw Compactor | LLMLingua-2 | SelectiveContext | gzip + base64 |
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|:--------|:-:|:-:|:-:|:-:|
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| Compression rate | 15–82% | 30–70% | 10–40% | 60–80% |
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| ROUGE-L @ 0.3 | **0.653** | 0.346 | ~0.4 | N/A |
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| ROUGE-L @ 0.5 | **0.723** | 0.570 | ~0.6 | N/A |
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| LLM inference cost | **$0** | ~$0.02/call | **$0** | **$0** |
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| Latency | **<50ms** | ~300ms | ~200ms | <10ms |
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| Reversible | **Yes** | No | No | Yes (manual) |
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| Content-aware routing | **14 stages** | 1 (perplexity) | 1 (self-info) | None |
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| AST-aware code handling | **Yes** (tree-sitter) | No | No | No |
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| JSON schema sampling | **Yes** | No | No | No |
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| Log/diff/search stages | **Yes** | No | No | No |
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| Required dependencies | **0** | torch, transformers | torch | zlib |
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| LLM-readable output | **Yes** | Partial | Partial | **No** |
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**Why Claw Compactor wins:** LLMLingua-2 drops tokens by perplexity score — effective for natural language, but destroys code identifiers, JSON keys, and log patterns. Claw Compactor uses content-type-aware stages that understand the structure of what they're compressing.
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---
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```
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Input
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- How to extend the pipeline
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```
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12,000+ lines Python · 1,676 tests · 14 fusion stages · 0 external ML dependencies
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12,000+ lines Python · 1,600+ tests · 14 fusion stages · 0 external ML dependencies
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```
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## Who Uses This
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| Project | How |
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|:--------|:----|
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| [OpenClaw](https://openclaw.ai) | Built-in skill for all OpenClaw AI agents — compresses workspace context before every LLM call |
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| [OpenCompress](https://opencompress.ai) | Production compression engine powering the OpenCompress API |
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Using Claw Compactor? [Open a PR](https://github.com/open-compress/claw-compactor/pulls) to add yourself here.
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---
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## Project Stats
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| Metric | Value |
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|:-------|:------|
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| Tests | 1,676 passed |
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| Tests | 1,600+ passed |
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| Python source | 12,000+ lines |
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| Fusion stages | 14 |
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| Languages detected | 16 |
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## Contributing
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See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines on:
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- Setting up the development environment
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- Adding new Fusion stages
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- Running the test suite
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- Submitting PRs
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---
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## Related
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- [OpenClaw](https://openclaw.ai) — AI agent platform
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- [ClawhubAI](https://clawhub.com) — Agent skills marketplace
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- [OpenClaw Discord](https://discord.com/invite/clawd) — Community
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- [OpenClaw Docs](https://docs.openclaw.ai) — Documentation
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- [Full Documentation](https://open-compress.github.io/claw-compactor) — GitHub Pages docs
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