MinishLab/semble
Some data may be outdated — see provenance labels.
Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read observed · 2026-09-21
Health v2 · maintenance only
79/100
- Activity 95
- Release rhythm 95
- Longevity 14
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 4
- age_days: 197
- days_rel: 39
- days_push: 32
- n_releases_24m: 28
Adoption not part of the score
6114 stars · 269 forks observed · 2026-09-21
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Semble is a fast, CPU-only code search library built for coding agents, providing semantic and hybrid search over codebases with ~99% fewer tokens than grep+read. It integrates as an MCP server, CLI tool via AGENTS.md instructions, or a dedicated sub-agent for agents like Claude Code, Cursor, and Codex.
Use cases
- let coding agents search a codebase semantically instead of grepping
- reduce token usage when agents explore large repositories
- index and query a repo in under a second on CPU
- expose code search as an MCP tool for Claude Code or Cursor
- find how authentication or a feature is implemented via natural language queries
- search remote git repositories without cloning manually
When to choose
- you use AI coding agents and want fast, accurate, token-efficient code retrieval
- you need code search that runs fully on CPU with no API keys or external services
- you want an MCP server or sub-agent integration for code search
When to avoid
- you need GPU-accelerated or transformer-grade retrieval beyond its benchmark quality
- you need a hosted or cloud-based code search service
- your project is not Python 3.10+ compatible
Facets
library · maturity active
search-engine rag mcp cli nlp developer-tools artificial-intelligence large-language-models python cli cross-platform code-search semantic-search hybrid-search embeddings mcp-server coding-agents token-efficiency cpu-only ai-agents search docker
9 sources
- readme: https://github.com/MinishLab/semble · fetched 2026-09-21 · f7a7019a6de7
- homepage: https://minish.ai/packages/semble/introduction/ · fetched 2026-08-29 · 459ff1bacb11
- site_page: https://minish.ai/about · fetched 2026-08-29 · 6332b2896728
- site_page: https://minish.ai/packages/model2vec/installation · fetched 2026-08-29 · 21a9aeffe4ea
- site_page: https://minish.ai/packages/semble/installation · fetched 2026-08-29 · 373938e60d5f
- site_page: https://minish.ai/packages/semhash/installation · fetched 2026-08-29 · ad1ab7983910
- site_page: https://minish.ai/packages/vicinity/installation · fetched 2026-08-29 · 4ed119eab51b
- registry_pypi: https://pypi.org/pypi/semble/json · fetched 2026-08-29 · 4cabd801b269
- site_page: https://minish.ai/packages/model2vec/integrations · fetched 2026-08-29 · d24212c8593e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| MinishLab/semble | main | 79 |
For agents
markdown · JSON · MCP: product_card(name="MinishLab/semble")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem