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@odradekk/vera-memory

v0.3.0

Published

Structured memory system for Vera agent (SQLite + vector search)

Readme

vera-memory

A minimal structured memory layer for Vera.

Purpose

vera-memory stores and retrieves structured memories for Vera. It is intentionally small:

  • active use only
  • SQLite + FTS5
  • structured records
  • explicit CRUD tools
  • no automatic retrieval injection
  • no automatic writeback
  • no maintenance / review / cleanup pipeline
  • no vector database
  • no embeddings

Registered surface

Tools

  • memory_remember
  • memory_search
  • memory_update
  • memory_forget
  • memory_status

Command

  • /memory_status

Hooks

  • session_start
  • session_shutdown

Data model

Core storage uses:

  • meta
  • memories
  • memories_fts

See repository design docs for the exact V1 schema.

Config

Loaded from:

  • agent/config/memory.json
  • project .pi/config/memory.json

Minimal example:

{
  "enabled": true,
  "database": {
    "path": "../state/memory.sqlite"
  },
  "defaults": {
    "shortTtlDays": 14
  }
}

Notes:

  • relative database.path values are resolved from the config file directory
  • if no config file exists, built-in defaults are used
  • memory_remember does not do upsert

Behavior

The memory system is manual, not default.

  • search only when memory may materially improve continuity or correctness
  • store only stable, reusable information
  • update only when the same stable object changed
  • forget only on explicit request, confirmed error, or clear replacement
  • files, runtime state, and docs override memory

Smoke

Run:

npm run smoke

The smoke test covers the minimal V1 path:

  • tool registration
  • remember
  • search by query
  • search by identity
  • update
  • forget
  • status

Loaded through agent/settings.json as ./packages/vera-memory.