OMPA

Universal AI Agent Memory Layer

Vault · Palace · Temporal Knowledge Graph

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**Obsidian-MemPalace-Agnostic** — Give any AI agent persistent memory in one `pip install`. Works with Claude Code, OpenClaw, Codex, Gemini CLI, LangChain, or any custom agent.

pip install ompa
ao init && ao session-start

**96.6% R@5 on LongMemEval** using verbatim storage — no summarization loss, no API cost for search.

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Why OMPA?

Every AI agent starts empty every session. Important decisions get lost. Context grows expensive. Summaries lose nuance.

OMPA solves all three:

Problem	OMPA's Answer
Lost decisions	Vault — every significant event persisted as markdown
Expensive context	5 lifecycle hooks with token budgets (~2K at start, ~100 per message)
Summarization loss	Verbatim storage — proven 96.6% R@5 on LongMemEval
Framework lock-in	Works with any Python agen