Agent Memory Mcp

Gives Claude a persistent memory layer with provenance tracking and time-weighted recall. Stores memories via memory_store with confidence scores and source metadata, retrieves them with memory_recall using decay-weighted ranking (30-day half-life), and runs a feedback loop through memory_feedback to surface what actually helps over time. Backed by local SQLite, so no API keys or remote dependencies. Reach for this if you're building an agent that runs across sessions and you're tired of watching it rediscover the same facts or waste context on stale information. The developer reports dropping session startup from 31K tokens to 800 in production use. Categories include lessons, strategies, preferences, and operational knowledge.