Cross-project knowledge graph for MCP — map features across mobile, backend, and admin codebases.
Cross-project knowledge graph for MCP — map features across mobile, backend, and admin codebases.
When working on a project with multiple codebases — for example, a React Native mobile app, a NestJS backend, and a Next.js admin panel — the AI agent has no awareness of how a single feature flows across all three. This leads to incomplete context, missed dependencies, and breaking changes that could have been caught earlier.
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claude mcp add project-knowledge -- npx -y project-knowledge-mcpStore entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Real-time web intelligence for AI agents. 11 tools, no API keys. GitHub, HN, Reddit, arXiv & more.
Session memory for coding agents: local-first recall, drift detection, on-device inference.
ContextD helps AI coding assistants remember what works, learn from mistakes, and maintain context across sessions. It's designed for developers who
Semantic search over local folders of code and docs, with a code-search encoder running on your CPU.