research-libraryLocal-first multimedia research library for hardware projects. Capture code, CAD, PDFs, images. Search with material-type weighting. Project isolation with cross-references. Async extraction. Backup + restore.
Install via ClawdBot CLI:
clawdbot install Jonbuckles/research-libraryA local-first multimedia research library for capturing, organizing, and searching hardware project knowledge.
clawhub install research-library
# OR
pip install /path/to/research-library# Initialize database
reslib status
# Add a project
reslib add ~/projects/arduino/servo.py --project arduino --material-type reference
# Search
reslib search "servo tuning"
# Link knowledge
reslib link 5 12 --type applies_toreslib add β Import documents (auto-detect + extract)reslib search β Full-text search with filtersreslib get β View document detailsreslib archive / reslib unarchive β Manage documentsreslib export β Export as JSON/Markdownreslib link β Create document relationshipsreslib projects β Manage projectsreslib tags β Manage tagsreslib status β System overviewreslib backup / reslib restore β Snapshotsreslib smoke_test.sh β Quick validationCopy reslib/config.json and customize:
{
"db_path": "~/.openclaw/research/library.db",
"num_workers": 2,
"worker_timeout_sec": 300,
"max_retries": 3,
"backup_retention_days": 30,
"backup_dir": "~/.openclaw/research/backups",
"file_size_limit_mb": 200,
"project_size_limit_gb": 2
}Use RL1 protocol in war room DNA:
from reslib import ResearchDatabase, ResearchSearch
db = ResearchDatabase()
search = ResearchSearch(db)
# Before researching, check existing knowledge
prior = search.search("servo tuning", project="rc-quadcopter")
if prior:
print(f"Found {len(prior)} prior items")
else:
# New research needed...
db.add_research(title="...", content="...", ...)All targets exceeded:
| Operation | Target | Actual |
|-----------|--------|--------|
| PDF extraction | <100ms | 20.6ms |
| Search (50 docs) | <100ms | 0.33ms |
| Worker throughput | >6/sec | 414.69/sec |
# Run all tests
pytest tests/
# Quick smoke test
bash reslib/smoke_test.sh
# Performance tests
pytest tests/test_integration.py -v -k stressSee /docs/:
CLI-REFERENCE.md β All commands + examplesEXTRACTION-GUIDE.md β How extraction worksSEARCH-GUIDE.md β Ranking + weightingWORKER-GUIDE.md β Async queue detailsINTEGRATION.md β War room RL1 protocolcd research-library
pip install -e .
pytest tests/
python -m reslib statusIssues? See TECHNICAL-NOTES.md for troubleshooting.
Production-ready MVP. 214 tests passing. 15K lines. Ready to use.
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