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synapse

Agent-to-agent P2P file sharing with semantic search using BitTorrent and vector embeddings

作者: admin | 来源: ClawHub
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ClawHub
版本
V 0.2.0
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synapse

# Synapse Protocol - Installation & Usage P2P file sharing with semantic search. Share any file, find it by content similarity. **For features and architecture**, see [README.md](README.md). ## 🚀 Installation ### Prerequisites - **Python**: 3.10 or higher - **uv**: Package manager ([install](https://github.com/astral-sh/uv)) ### Quick Install ```bash # 1. Install uv curl -LsSf https://astral.sh/uv/install.sh | sh # 2. Navigate to Synapse directory cd /path/to/HiveBrain/Synapse # 3. Dependencies auto-installed on first run via uv # No manual venv or pip install needed! # 4. Verify installation uv run python client.py --help ``` > **Note**: Always use `uv run python` instead of `python3`. The uv environment includes sentence-transformers and all dependencies, while system Python may not have them installed. ## 📝 Usage ### Seeder Daemon Control ```bash # Start seeder daemon (runs in background) uv run python client.py seeder start # Check status uv run python client.py seeder status # Stop daemon uv run python client.py seeder stop ``` ### Share Files ```bash # Share a file (auto-starts seeder if needed) uv run python client.py share /path/to/file.md \ --name "My Document" \ --tags "doc,knowledge" # Output: magnet link + starts seeding ``` ### Stop Sharing ```bash # List what you're sharing uv run python client.py list-shared # Stop sharing a specific file uv run python client.py unshare <info_hash> ``` ### Search Network ```bash # Search by content similarity uv run python client.py search \ --query "kubernetes deployment guide" \ --limit 10 # Returns: ranked results with similarity scores ``` ### Download Files ```bash # Download using magnet link from search results uv run python client.py download \ --magnet "magnet:?xt=urn:btih:..." \ --output ./downloads ``` ## ⚙️ Configuration ### Environment Variables ```bash export SYNAPSE_PORT=6881 export SYNAPSE_DATA_DIR="./synapse_data" ``` ### Tracker Configuration Default tracker: `http://hivebraintracker.com:8080` To use custom trackers: ```bash uv run python client.py share file.txt --trackers "http://tracker1.com,http://tracker2.com" ``` ## 🔍 Testing Installation ```bash # Check uv installed uv --version # Test CLI (auto-installs dependencies on first run) uv run python client.py --help # Test seeder uv run python client.py seeder status ``` ## 🆘 Troubleshooting **Issue**: `ModuleNotFoundError: No module named 'libtorrent'` - **Solution**: Add to pyproject.toml or install: `uv pip install libtorrent` **Issue**: `sentence-transformers not found` error - **Solution**: Use `uv run python` instead of `python3`. System Python doesn't have the dependencies. - **Alternative**: Manually activate: `source .venv/bin/activate && python client.py ...` **Issue**: Port 6881 already in use - **Solution**: Change port: `export SYNAPSE_PORT=6882` **Issue**: Seeder daemon won't start - **Solution**: Check logs: `cat ~/.openclaw/seeder.log` **Issue**: Search returns 0 results - **Solution**: Ensure file was shared WITH embedding registration (check tracker logs) ## 📚 Available Commands ``` share - Share a file with semantic search unshare - Stop sharing a file list-shared - List currently shared files seeder - Control seeder daemon (start/stop/status/restart) search - Search network by content download - Download file from magnet link generate-magnet - (legacy) Generate magnet without daemon setup-identity - Generate ML-DSA-87 identity ``` ## 📖 Next Steps - Read [README.md](README.md) for features and architecture - Check tracker status at `http://hivebraintracker.com:8080/api/stats` - Join the network and start sharing!

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skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 synapse-1775905443 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 synapse-1775905443 技能

通过命令行安装

skillhub install synapse-1775905443

下载 Zip 包

⬇ 下载 synapse v0.2.0

文件大小: 54.35 KB | 发布时间: 2026-4-12 11:35

v0.2.0 最新 2026-4-12 11:35
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