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该项目当前未满足“两个有效维度 + 两种数据源”的主榜门槛。

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可观测采用度缺失
动量当前有效 · 2026-09-12
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关注度当前有效 · 2026-09-12
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信号可信度 依据当前有数据的独立评分维度数量计算。
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方法论 v2.0 · 快照 2026-09-12 · 超过 2 天视为过期

项目介绍

Give your AI assistant a brain for your codebase. Octocode transforms your project into a navigable knowledge graph that Claude, Cursor, and other AI agents can search, understand, and navigate.

The Problem: AI assistants are blind to your codebase. They can't search your files, understand dependencies, or remember context across sessions.

The Solution: Octocode's MCP server gives AI agents:

Standard RAG treats your code as flat text chunks. It finds similar-sounding snippets but has no idea that authmiddleware.rs imports jwt.rs, calls userstore.rs, and is wired into router.rs. Octocode understands structure.

Octocode uses tree-sitter AST parsing to extract real symbols (functions,…

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