openclaw-mem

The AI agent memory layer you can audit.

Local-first memory governance for AI agents — every context item cited, every exclusion explained, every mutation reversible.

Most AI agent memory systems compete on recall — remember more, retrieve better. openclaw-mem competes on a different axis: governance. It captures agent activity as durable local records (SQLite + JSONL, no external database), then assembles bounded ContextPack bundles where every included memory carries a citation, every excluded memory carries a written reason, and every memory mutation ships with a rollback receipt.

Built sidecar-first for OpenClaw, usable with Claude, Codex, Gemini, and generic agent harnesses.

Not bigger memory — safer, explainable context.

Why agent memory needs governance, not just recall

Long-running agents don't just forget. Their memory degrades silently:

• Stale notes still match queries long after they stop being true.
• Untrusted or hostile content — tool output, scraped web text, injected instructions — retrieves well and slips into the prompt. This is the memory poisoning path of prompt injection, and similarity search alone cannot stop it.
• Context bloat: prompts swell into unbounded memory dumps nobody can review.
• No accountability: when the agent goes wrong, nothing explains why a memory was included.