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Give AI coding agents local-first project memory, decisions, risks, and checkpoints.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ITHZ MCP" yet — see the docs or source repo.
Use ITHZ MCP to generate a context pack for the current repository, including project goals, core modules, dependencies, development conventions, and current unfinished tasks, and save it in project-owned files.
A structured project context record that helps AI agents understand the codebase consistently.
Use ITHZ MCP to record the decision for this caching-layer refactor, including why Redis was chosen, alternatives considered, known risks, scope of impact, and checkpoints to validate later.
A traceable decision-and-risk record with rationale, impact, and follow-up validation requirements.
Use ITHZ MCP to create a gate checklist for this release, listing required tests, performance metrics, security checks, declared risks, and the owner and status for each item.
A release gate and checkpoint checklist that helps the team and AI agents ship consistently.
Give AI agents deterministic local project memory, context packs, and checkpoints.
Provide local-first memory and retrieval for coding agents using SQLite embeddings.
Give AI coding agents persistent semantic memory with embedding-based retrieval.
Store and retrieve project memory for coding assistants via MCP tools.
Store project rules, context, and decisions for reuse across MCP clients.
Build local codebase memory for AI agents with search and architecture inspection.