Persistent Memory
Persistent memory for AI coding agents that stays in your repo.
Memory gives coding agents a local project memory layer for product intent, architecture decisions, repo conventions, workflows, and gotchas. Agents load a task-focused context pack before work and save durable knowledge after meaningful changes.
What this solves.
Instead of rebuilding context from chat history, Memory stores reusable project knowledge as local, reviewable files that future coding agents can load on demand.
Memory keeps canonical knowledge under `.memory/`, so teams can inspect changes, review them in Git, and repair stale facts instead of trusting an opaque memory service.
`memory load` compiles a small context pack for coding, debugging, review, architecture, or onboarding work, reducing token noise while keeping important constraints active.
Related Memory guides.
Continue with adjacent project-memory workflows for AI coding agents, AI coding assistants, and MCP-capable tools.