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Extract project knowledge from code and Git history for AI context queries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ContextWeave" yet — see the docs or source repo.
Using the current project's code, commit history, and major changes, summarize the system architecture, core module responsibilities, key dependencies, and major evolution over the last three months.
A project overview with architecture, module descriptions, dependency relationships, and recent evolution to speed up onboarding.
Help me investigate the implementation background of the user permissions system: why it was introduced, which commits changed its design, and which files and developers were involved.
A feature origin summary, key commit timeline, related file list, and ownership clues for fast context recovery.
Using project memory, answer: which services are affected by order cancellation, whether refund logic has changed, and what known limitations or technical debt exist now?
Context-aware answers grounded in code and history, including related modules, supporting changes, and potential risks.
Give AI agents searchable, versioned Markdown memory you can inspect and manage.
Track project evolution, search history, and explain file context over time.
Give AI coding agents persistent cross-session memory for project knowledge.
Search code semantically across 40+ languages with context expansion and hybrid retrieval.
Build semantic memory and structural code indexes for persistent AI project context.
Help AI coding agents retrieve and manage code context and project memory.