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Build a local code intelligence layer for AI agent code exploration.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "RepoWeaver" yet — see the docs or source repo.
Use RepoWeaver to analyze the call graph of a core function in the repository. List the modules it calls and the entry points that indirectly invoke it.
A summarized call graph showing upstream entry points, downstream dependencies, and key execution paths.
Use RepoWeaver to assess the blast radius of changing this module. Identify potentially affected files, functions, and related call chains.
A list of impacted code areas, categorized into direct and indirect effects.
Use RepoWeaver to extract relevant source slices for the flow involved in this bug, organized by execution order.
A set of relevant source slices that helps quickly understand the critical execution flow.
Developers can use it to give AI agents a local code intelligence layer when working with complex repositories. This helps inspect call graphs, key source slices, and module relationships faster.
Before refactoring or fixing issues, developers and DevOps practitioners can use it to analyze blast radius. This helps identify functions, files, and call chains that may be affected in advance.
When an AI agent needs to investigate root causes, it can access source slices and call relationships through a single tool. This reduces the need to switch across multiple external services.
It is an MCP server that builds a local code intelligence layer. AI agents can explore call graphs, blast radius, and source slices through a single tool without relying on external APIs.
Based on the description, it works without external APIs. This means its code exploration capabilities are provided through a local code intelligence layer.
The provided material does not include installation or configuration steps. For integration details, runtime prerequisites, and setup instructions, see the source repository.
Build a local code intelligence layer for AI-driven code exploration.
Get structured, read-only insights into local code repositories and project setup.
Search and navigate multiple code repositories with natural language understanding.
Gives AI coding agents a structural map of your repository fast.
Inspect, edit, and validate code in a configured Git repository.
Provides a live codebase architecture model for analysis and dependency tracing.