Agent Kernel gives coding agents memory
Agent Kernel is a tiny persistence layer for AI coding agents, built around a git repo and three markdown files. It keeps identity, notes, and knowledge across sessions so an agent can pick up where it left off instead of rebooting every run.
This is the right answer to agent amnesia: use git and markdown before reaching for a database or framework.
- –The memory model is elegantly simple: `IDENTITY.md`, `KNOWLEDGE.md`, `notes/`, and `knowledge/` make state easy to inspect, diff, and back up.
- –Supporting OpenCode, Claude Code, Codex, Cursor, and Windsurf lowers adoption friction because it fits tools people already use.
- –The split between mutable facts and append-only session logs is a smart compromise between durability and auditability.
- –The trade-off is obvious too: repo-based memory scales best for solo builders and small teams, while larger agent fleets will eventually need permissions, schema, and conflict handling.
- –It solves a real pain point in coding agents: every new session should not feel like a total reset.
DISCOVERED
64d ago
2026-03-24
PUBLISHED
64d ago
2026-03-24
RELEVANCE
AUTHOR
Github Awesome