Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Productivity
memory-pro
Efficient semantic search engine for OpenClaw workspace memory using FAISS and Sentence-Transformers, indexing Markdown and key agent files.
skill openclawclawhub Free
Efficient semantic search engine for OpenClaw workspace memory using FAISS and Sentence-Transformers, indexing Markdown and key agent files.
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0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, v2/benchmark.py, v2/build_index.py, v2/eval_queries.json, v2/main.py
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.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- 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
- 2.5.0
Provenance
- Publisher
- royhk920
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Memory Pro (v2)
This skill provides semantic search over your memory files using a local vector database.
Architecture (v2)
Service: Runs as a systemd user service (memory-pro.service). Port: 8001 (hardcoded for stability). Engine: FAISS + Sentence-Transformers (all-MiniLM-L6-v2). Data Source: Daily logs: ${OPENCLAW_WORKSPACE}/memory/*.md Core files: MEMORY.md, SOUL.md, STATUS.md, AGENTS.md, USER.md (from workspace root). Index: Stored in ${OPENCLAW_WORKSPACE}/skills/memory-pro/v2/memory.index.
1. Semantic Search (Recommended)
Use the python script to query the running service. # Basic search python3 scripts/search_semantic.py "What did I do yesterday?" # JSON output python3 scripts/search_semantic.py "project updates" --json
2. Manual Index Rebuild
The service automatically rebuilds the index on restart. To force an update: systemctl --user restart memory-pro.service Note: Service restart takes ~15-20 seconds to rebuild index and load models. The client script has auto-retry logic.
3. Service Management
# Check status systemctl --user status memory-pro.service # Stop service systemctl --user stop memory-pro.service # View logs journalctl --user -u memory-pro.service -f
"Connection failed"
The service might be stopped or restarting. Check status: systemctl --user status memory-pro.service. If restarting, wait 15 seconds. The client script retries automatically for up to 20s.
"Index size mismatch"
This means memory.index and sentences.txt are out of sync. Fix: Restart the service. The startup script start.sh automatically runs build_index.py to fix this consistency issue before starting the API.
"Address already in use"
Port 8001 is taken by a zombie process. Fix: kill $(lsof -t -i:8001) then restart service.
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Scripts2 Docs1 Config
- SKILL.md
- README.md
- v2/benchmark.py
- v2/build_index.py
- v2/main.py
- v2/eval_queries.json