willynikes2 / knowledge-base-server
Make every AI agent you use smarter. Persistent memory with SQLite FTS5, MCP server, Obsidian sync, and self-learning intelligence pipeline.
Why this job: says: persistent memory; topics: memory
What it does
- SQLite FTS5 full-text search with BM25 ranking and highlighted snippets
- Semantic/vector search via local HuggingFace embeddings (Xenova/all-MiniLM-L6-v2) — no API keys needed
- Hybrid search mode (kb_search_smart) combining keyword + semantic for conceptual queries
- Web dashboard for browsing, searching, and managing documents
- CLI for all operations (kb start, kb search, kb ingest, kb setup)
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 26 days ago
- Stars
- 190
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- JavaScript
- 94% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 83% closed
- 1 still open
- Pull requests
- 14 merged
- 0 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- JavaScript 94%
- HTML 4%
- CSS 1%
- Shell 1%
Topics
- ai
- ai-agents
- knowledge-base
- llm
- mcp
- memory
- multi-agent
- obsidian
- self-learning
- sqlite
Project record
- JobAgent memory
- StatusListed
- Commits111
- Forks40
- Watching2
- Stars in 28 days+2
- CreatedMar 7, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026