Comparisons
Most agent memory answers what was said. OMEM answers what is believed.
The tools below are good at what they do, and honest comparison beats a fair fight lost. The difference is the question being answered: retrieval layers find relevant text, OMEM keeps an auditable record of belief, with evidence, conflicts, and history you can replay.
The comparisons
- OMEM vs Mem0
- Mem0 is a popular memory layer that extracts memories from conversations and retrieves them by relevance, with a managed platform if you want one. OMEM is a belief engine: it tracks what is currently believed, on what evidence, and what disagrees. Different questions, honestly different tools.
- OMEM vs Zep
- Zep assembles conversations into a temporal knowledge graph and serves fast, relevant context, with a managed cloud. OMEM optimizes for a different property: every belief is an auditable claim with evidence, state, and a replayable history. Speed of recall versus defensibility of the record.
- OMEM vs Letta
- Letta (the MemGPT lineage) is an agent runtime where agents manage their own memory hierarchy. It answers the whole question of how to build an agent. OMEM answers one question extremely thoroughly: what does this agent believe, and why. It sits under whatever framework you already chose, through MCP, a REST API, or the SDK.
What is different, whoever the alternative is
- Belief state, not stored strings
- Every claim has a state (believed, contradicted, unknown) computed from the evidence at query time. Two agents asserting opposite things produces CONTRADICTED with both sides on the record, never a silent overwrite.
- Conflicts are declared, never guessed
- Two claims disagree only when someone declared them opposed. No model reads your memories to decide they conflict, which is what keeps the same question giving the same answer a year later.
- Answers for itself
- Ask why about any belief and get the evidence chain: who said it, the quoted source, what was concluded from it, what contradicts it. The whole state replays from an append-only log, and omem-verify proves it rather than claims it.
- Takes things back
- Retract a fact and everything concluded from it is withdrawn in the same request, cascade included. Declared inference rules come with truth maintenance built in.
- Hunches that know they are hunches
- The intuition layer forms expectations from single examples, keeps a case file per hypothesis, interrogates its own guesses, and never lets a hunch pass as a belief. expects() and believes() are different verbs.
- Zero dependencies, committed license
- Stdlib-only Python (CI fails the build if a runtime dependency appears), SQLite by default, runs air-gapped. MIT, with a written commitment in CONTRIBUTING.md that the core stays MIT.