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Give AI coding agents persistent engineering memory and spec-driven development workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "trw-mcp" yet — see the docs or source repo.
Store the project's technical decisions, coding conventions, known issues, and next steps in trw-mcp, then automatically load that engineering memory in a new session and suggest how to continue development.
Saved engineering memory entries plus a reusable context summary and next-step development recommendations for the new session.
Using the product requirements document, create a spec-driven development workflow: organize requirements, generate an implementation plan, break work into coding tasks, and record key decisions and acceptance criteria in trw-mcp.
A structured requirements summary, task breakdown, implementation steps, and traceable spec and decision records.
Save the investigation process, root cause analysis, fix, and prevention steps for this production incident into trw-mcp, then generate a troubleshooting summary that can be reused for similar issues later.
A searchable incident knowledge record and a standardized troubleshooting summary for future reuse.
Give AI coding assistants memory, code graph insight, and safe multi-agent coordination.
Give AI coding agents filesystem, Git, database, and compute tools via MCP.
Provide AI agents with coding standards, testing, planning, and requirements guidance.
Give AI coding assistants searchable long-term memory for decisions and discoveries.
Help AI agents navigate, search, and understand codebases and change history.
Give AI agents persistent memory, searchable knowledge, and automatic consolidation.