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synapse

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

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High Signal

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

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
HEARTBEAT.md, README.md, SKILL.md, client.py, pyproject.toml, requirements.txt

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
0.2.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 14 sections Open source page

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.

Prerequisites

Python: 3.10 or higher uv: Package manager (install)

Quick Install

# 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.

Seeder Daemon Control

# 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

# 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

# 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

# Search by content similarity uv run python client.py search \ --query "kubernetes deployment guide" \ --limit 10 # Returns: ranked results with similarity scores

Download Files

# Download using magnet link from search results uv run python client.py download \ --magnet "magnet:?xt=urn:btih:..." \ --output ./downloads

Environment Variables

export SYNAPSE_PORT=6881 export SYNAPSE_DATA_DIR="./synapse_data"

Tracker Configuration

Default tracker: http://hivebraintracker.com:8080 To use custom trackers: uv run python client.py share file.txt --trackers "http://tracker1.com,http://tracker2.com"

๐Ÿ” Testing Installation

# 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

๐Ÿ†˜ 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)

๐Ÿ“š 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

๐Ÿ“– Next Steps

Read README.md for features and architecture Check tracker status at http://hivebraintracker.com:8080/api/stats Join the network and start sharing!

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
3 Docs2 Files1 Scripts
  • SKILL.md Primary doc
  • HEARTBEAT.md Docs
  • README.md Docs
  • client.py Scripts
  • pyproject.toml Files
  • requirements.txt Files