Daem0n

Daem0n is a Model Context Protocol server that gives AI agents durable memory across sessions, built for developers working on autonomous agents and MCP-compatible workflows. Instead of bloated markdown files that eat into your context window, it stores and retrieves knowledge through an active memory layer designed for efficiency. Token compression cuts memory overhead by up to 75%, keeping costs down on long-running agents. Passive capture hooks record decisions automatically without requiring explicit save commands, so context is preserved without extra steps. Causality tracking links outcomes to past choices, and a built-in failure-weighting system boosts the salience of failed decisions by 1.5x, making the agent more likely to reconsider a bad pattern before repeating it. The combination of efficient storage, automatic capture, and failure-aware recall makes it suited to personal AI assistants and any workflow where continuity and learning across sessions matter.

Developers use Daem0n-MCP to give AI agents persistent, efficient memory that learns from past decisions and failures across sessions.