Chief-of-Staff memory that visibly remembers and forgets.
A persistent-memory agent demo for solo founders: memories are chunked, scored, embedded, retrieved by relevance + recency + importance + decay, then faded or consolidated over simulated time.
Simulated day
—
Qwen adapter
fallback
Chat interface
Cross-session Chief-of-Staff
Persistent memory across independent sessions.
Start by loading the demo facts.
Then ask from Session 2 to prove cross-session recall under the small context budget.
Memory Brain
Visible memory lifecycle
Active memories
0
Forgotten
0
Merged sources
0
Avg decay
0.00
Stored chunks
Decay curves and status
Quantitative proof
Recall under limited context
precision
—
Avg context used
Run benchmark
Budget cap
2K tokens
The benchmark scores four fixed queries, including one that should not retrieve stale small talk after decay.
Lifecycle log
Encode → recall → decay → consolidate
Lifecycle events will appear here as the demo runs.
Architecture path
Chat UI → memory API service → Qwen-compatible scoring/embeddings adapter → PostgreSQL memory store → decay/consolidation job → Memory Brain.
Efficient retrieval
Top-K memories only, capped to 2000 estimated tokens.
Timely forgetting
Decay lowers inactive low-importance nodes and drops stale noise.
Sleep consolidation
Related memories merge into summaries with source lineage.