Persistent identity, knowledge, and memory for AI coding agents. Built on Markdown and Git. Works with any CLI tool.
Every session follows the same cycle: load, work, learn, save.
Agent loads its CORE.md (identity and rules), checks mistakes.md (past errors to avoid), and scans the cheatsheet index for available knowledge.
Agent loads relevant cheatsheets on demand. Only what's needed for the current task enters context — no bloat, no full textbook dumps.
During the session, the agent can study new source material and distill it into cheatsheets with confidence tags: [VERIFIED], [TEXTBOOK], [DERIVED].
Session end protocol: log what happened, record mistakes, update cheatsheets, commit to Git. Next session starts where this one left off.
Native integrations, not wrappers. Each tool loads agents through its own mechanism.
Auto-discovered from .claude/agents/
Via AGENTS.md or skill files
Reads AGENTS.md automatically
Reference paths in .cursorrules
Clone, summon an agent, see it work. Then fork it and make your own.
Fork the repo, make it private, create agents that know your workflow.