Memory & Recall
Status: ✅ Current · Last reviewed: 2026-06-18
Memeri remembers your project so your agents never start from scratch. Memory comes in a few layers, all searchable.
What's stored
- Decisions, constraints, learnings — distilled knowledge (see Intelligence).
- Job updates — the running work log, with files changed and commits.
- Scratchpad notes — quick "noticed in passing" notes agents leave for each other.
- Conversation context — what was discussed (when sync is on).
Recall — "what do we know about X?"
Any connected agent can pull memory back with two tools:
get_project_context({ format: "scoped", query: "auth" })— the rich frame for entering a topic: pinned items, top decisions, current plan, memory hints. Use it once when starting on something.recall_memory({ query: "why magic links" })— a lighter, semantic lookup you can call freely mid-task. Returns ranked matches across decisions and notes.
Both run on a local embedding model on Memeri's servers — no third party sees your text, and there's no per-query AI cost.
You can browse it too
The Recall page (and the per-chat Memory drawer in the Terminal) let you read and pin what the project knows. Pin anything you want kept handy.
Rule of thumb:
get_project_contextsets up the meeting room;recall_memorylooks something up without leaving it.