MinishLab/semble
Fast and Accurate Code Search for Agents. Uses ~98% fewer tokens than grep+read
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把 OSS Radar 知識庫接上省 token 的程式碼搜尋與上下文壓縮,做成 AI agent 直接訂閱的 MCP server——使用者的 Claude/Cursor 一句話就查到去噪過、已判商用授權的最新樂高積木。
①MCP server 分級訂閱(免費層查當日榜,付費層解鎖 suggest_combinations 深度提案+歷史 diff+商用授權判讀;走 Gumroad/Lemon Squeezy MoR 訂閱)②對外雙語內容站續接 Adsterra/Monetag+Ko-fi ③可選聯盟(開發工具/主機商,非 VPN)。
OSS Radar 既有 SQLite 知識庫(含繁中、商用授權、TrueHeat 排序、語意去重、組合提案)→ llm-wiki 把每日榜編譯成結構化知識頁 → semble 提供省 token 庫內檢索 → lean-ctx 把回應壓縮成 agent 友善上下文 → 全部用 python-sdk 暴露為 MCP 工具(query_oss / suggest_combinations / check_commercial_use 分免費與付費層)。使用者 Claude/Cursor 直接連線消費,付費牆控制深度。
Fast and Accurate Code Search for Agents. Uses ~98% fewer tokens than grep+read
Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust binary that decides what they read, remembers what they learn, guards what they touch, and proves what they save. 60–90% fewer tokens as the receipt. 76 MCP tools, 30+ agents, local-first.
LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, thesis-driven investigation, source ingestion, wiki compilation, querying, and artifact generation.
The official Python SDK for Model Context Protocol servers and clients