MinishLab/semble

• highreadme#1

  Reposition the README's opening to explicitly differentiate from generic code search and vector databases

  原因：

  当前

  Semble is a code search library built for agents. It returns the exact code snippets they need instantly, using ~98% fewer tokens than grep+read. Indexing and searching a full codebase end-to-end takes under a second, with ~200x faster indexing and ~10x faster queries than a code-specialized transformer, at 99% of its retrieval quality (see [benchmarks](#benchmarks)). Everything runs on CPU with no API keys, GPU, or external services. Use it as an MCP server, a CLI tool via AGENTS.md, or a dedicated sub-agent, and any coding agent (Claude Code, Cursor, Codex, OpenCode, etc.) gets instant access to any repo.

  复制粘贴的修复

  复制

  Semble is a code search library built for AI agents. Unlike generic code search tools (e.g., `grep`, `ripgrep`) or general-purpose vector databases (e.g., Faiss, Weaviate), it returns the exact code snippets they need instantly, using ~98% fewer tokens than `grep`+read. Indexing and searching a full codebase end-to-end takes under a second, with ~200x faster indexing and ~10x faster queries than a code-specialized transformer, at 99% of its retrieval quality (see [benchmarks](#benchmarks)). Everything runs on CPU with no API keys, GPU, or external services. Use it as an MCP server, a CLI tool via AGENTS.md, or a dedicated sub-agent, and any coding agent (Claude Code, Cursor, Codex, OpenCode, etc.) gets instant access to any repo.

  待办完成忽略
• mediumabout#2

  Refine the 'about' description to emphasize agent-specific, token-efficient, local code search

  原因：

  当前

  Fast and Accurate Code Search for Agents. Uses ~98% fewer tokens than grep+read

  复制粘贴的修复

  复制

  Fast, accurate, and token-efficient code search for AI agents. Runs locally, providing instant, relevant code snippets without external APIs or GPUs.

  待办完成忽略
• mediumreadme#3

  Add a dedicated 'Comparison' section to the README

  原因：

  复制粘贴的修复

  复制

  ## Comparison
  
  Semble is purpose-built for AI agents, offering a distinct advantage over both general-purpose code search tools and vector databases. Unlike tools such as `grep` or `ripgrep`, Semble returns precise, context-aware code snippets, drastically reducing token usage for agents. Compared to vector databases like Faiss or Weaviate, Semble operates entirely locally, requiring no external services, GPUs, or API keys, and is optimized for instant, relevant code retrieval within an agent's workflow.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How to enable efficient and token-saving code search for my AI coding assistant?

  你：未被推荐
  AI 推荐顺序：

  1. Faiss (facebookresearch/faiss)
  2. Weaviate (weaviate/weaviate)
  3. Pinecone
  4. Elasticsearch (elastic/elasticsearch)
  5. Chroma (chromadb/chroma)

  AI 推荐了 5 个替代方案，却始终没点名 MinishLab/semble。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What are fast, local code search solutions for integrating with an autonomous agent?

  你：未被推荐
  AI 推荐顺序：

  1. ripgrep
  2. The Silver Searcher
  3. GNU grep
  4. ack
  5. VS Code
  6. ctags

  AI 推荐了 6 个替代方案，却始终没点名 MinishLab/semble。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of MinishLab/semble?

  pass
  ✓AI 明确点名了 MinishLab/semble

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts MinishLab/semble in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 MinishLab/semble

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo MinishLab/semble solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 MinishLab/semble

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？