Agent Memory Loop

Persistent memory system for AI agents to remember facts, learn from experiences, recall memories, and track entities across sessions.

Complete zero-dependency memory system for AI agents — file-based architecture, daily notes, long-term curation, context management, heartbeat integration, a...

Error pattern tracking for AI agents. Detects corrections, escalates recurring mistakes, learns mitigations. The 'something's off' detector from the AI Brain series.

Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.

Capture errors, corrections, and recurring patterns into structured `.learnings/` logs, then promote durable guidance into workspace memory files. Use when c...

AI memory system for coding agents — code index + cognitive facts, persistent across sessions.