# Hoffmann843/loci

> A queryable second brain over scattered notes and docs, using hybrid retrieval (vector + BM25) with section-level citations and an MCP server so AI agents can query it. About 300 lines, no LangChain.

- Magnitude: 0.0 out of 10 — Quiet
- Stars: 0 total · Not enough measurements today
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · Created: 2026-10-14 · Last push: 2026-10-14
- GitHub: https://github.com/Hoffmann843/loci · Page: https://gitnova.dev/en/r/Hoffmann843/loci

## Useful for

- Connect the MCP server to an AI agent so it can answer questions from your notes with citations.
- Search across scattered docs with hybrid vector and BM25 retrieval to find relevant sections.
- Index notes incrementally and get section-level citations instead of whole documents.

## Why it’s here

- There are not enough fresh counter measurements for today's UTC day. The gain is unknown.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 0
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 0 per day
- Usual pace: 0 per day
- Latest release: 0.2.690 (2026-10-14)

## Stars per day, last 22 days (oldest → newest, today is partial)

2026-10-14 … 2026-11-04: 0, 0, 0, 0, 0, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None

## Magnitude by day, last 14 days

10-22 0.0, 10-23 0.0, 10-24 0.0, 10-25 0.0, 10-26 0.0, 10-27 0.0, 10-28 0.0, 10-29 0.0, 10-30 0.0, 10-31 0.0, 11-01 0.0, 11-02 0.0, 11-03 0.0, 11-04 0.0

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3. **GuoHaoyu1688/workspace-search-mcp** — 0.0 · Quiet · Developer tools · Python · Not enough measurements today
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   Full card: https://gitnova.dev/en/r/GuoHaoyu1688/workspace-search-mcp.md

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-11-04 10:53 UTC, updated every 30 minutes.