memory-lancedb
Self-hosted AI workspace where chat becomes visual workflows, multi-agent operations, and reviewable automations. Local memory; local or cloud models
Install / Use
npx skills add aaronnat23/disp8ch --skill memory-lancedbInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
Our assessment of memory-lancedb
memory-lancedb scores 48/100 on our quality scale, 2801st of 2,892 Automation skills we index.
Its SKILL.md is 1.1 KB long, lightly structured (1 heading) and no code examples: fairly brief, so expect to fill in details yourself.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 2 months ago, so memory-lancedb is actively maintained.
- Our last check on 2026-10-18 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 80/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
memory-lancedb compared with similar skills
All 4 of these similar skills score higher than memory-lancedb; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| memory-lancedb (this skill)by aaronnat23 | 48 | 0 | 51d ago | SKILL.md |
| claude-memby thedotmack | 100 | 102.5k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 101.3k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 89.3k | 1d ago | MCP Server |
| rufloby ruvnet | 100 | 78.8k | today | MCP Server |
Frequently asked questions
- How do I install memory-lancedb?
- Run
npx skills add aaronnat23/disp8ch --skill memory-lancedb. The install tabs above show the steps for each supported agent. - Which AI agents does memory-lancedb work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is memory-lancedb safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It declares no license and scores 80/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is memory-lancedb still maintained?
- The repository was last updated about 2 months ago, so memory-lancedb is actively maintained.
Skill content
View source on GitHubMemory LanceDB
LanceDB-backed vector memory for high-volume embedding and retrieval workloads.
- LanceDB stores embeddings as Lance columnar format on disk — significantly faster for large collections (>100k vectors) than sqlite-vec.
- Use this backend when the default sqlite-vec backend shows degraded search performance under heavy indexing load.
- All standard memory operations (
memory_search,memory_store,memory_get) work identically — the backend switch is transparent. - Configure
dbPathin the extension settings to point to the desired LanceDB directory (defaults todata/lancedb/). - For auto-capture mode: the agent automatically stores conversation context chunks without explicit
memory_storecalls. - For auto-recall mode: relevant memories are automatically injected into context at session start without explicit
memory_searchcalls. - When switching from sqlite-vec to LanceDB: run a memory backfill to migrate existing embeddings to the new backend.
- Monitor embedding batch health via
/api/memory?action=embedding-statusto confirm the LanceDB backend is active.
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Scrapling
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ruflo
78.8k🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.