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tobocop2/lilbee

by Various

Run local AI models, search your files and code, and crawl the web, all in one program. Cited answers, local-first, with an MCP server for your coding agent. TUI, CLI, REST API, an

T

MCP

tobocop2/lilbee

Added 15 June 2026

#ai-agents #cli #embeddings #gguf #huggingface #llama-cpp #lm-studio #local-ai

Overview

lilbee runs local AI models, searches your files and code, and crawls the web. It provides cited answers and operates local-first. The tool offers a TUI, CLI, REST API, and Python library, plus an MCP server for coding agents.

Best for

Best for
Developers who want a local AI tool for code search and web crawling with multiple interfaces

Use cases

  • Search codebase and files using a local AI model
  • Crawl the web with cited answers for research
  • Integrate with coding agents via the MCP server

How to use

Install

pip install --pre lilbee

Tools exposed

  • Qwen3-VL
  • MiniCPM-V
  • nomic-bert
  • Decoder-pooled
  • XLM-RoBERTa
  • Cross-encoder
  • llama.cpp
  • Ollama
  • LM Studio

Notes

lilbee runs local AI models, searches your files and code, and crawls the web. It provides cited answers and operates local-first. The tool offers a TUI, CLI, REST API, and Python library, plus an MCP server for coding agents.

24 stars on GitHub. Last updated 2026-06-15.

Use cases

  • Search codebase and files using a local AI model
  • Crawl the web with cited answers for research
  • Integrate with coding agents via the MCP server

Pros

  • Local-first design preserves privacy
  • Multiple interfaces suit different workflows
  • Cited answers improve trust in results

Cons

  • Small community with only 24 GitHub stars
  • Python-only dependency may limit adoption
  • Less mature than more established tools

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Local-first design preserves privacy
  • Multiple interfaces suit different workflows
  • Cited answers improve trust in results

Cons

  • Small community with only 24 GitHub stars
  • Python-only dependency may limit adoption
  • Less mature than more established tools
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