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Provide persistent, verified memory and guardrails for AI coding agents.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.AiDimag/aidimag" MCP server from askskill: Run: claude mcp add 'io-github-aidimag-aidimag' -- npx -y aidimag
Developers can use it in multi-turn workflows or long-running projects to store and recall verified project constraints, decisions, and context, reducing agent forgetfulness and repeated mistakes.
When an AI agent works on sensitive code such as authentication, payments, or infrastructure, guardrails can restrict behavior and route risky changes into a review queue.
It is an MCP tool for AI coding agents that provides persistent, verified memory, along with recall, capture, guardrails, and a review queue.
It is mainly suited for code generation, refactoring, and long-lived repository collaboration, especially agentic development workflows that need persistent context and execution constraints.
The provided material does not include installation steps, runtime requirements, or key information; for more details, see the source repository.
Give AI coding agents persistent memory across sessions for people, decisions, and context.
Store coding history, decisions, and fixes for AI agents in your repo.
Give AI coding agents searchable local project memory with safe structured updates.
Standardize planning, memory, verification, and review across AI coding agents.
Give AI coding agents offline persistent memory to reduce repeated calls.
Give AI coding agents persistent memory for project context and decisions.