db0 vs mem0
mem0 is a good memory library. db0 covers more ground. This page explains where they overlap and where they diverge, so you can pick the right tool for your use case.
| Capability | db0 | mem0 |
|---|---|---|
| Memory storage | Scoped (user, agent, session, task) with superseding | Flat key-value with optional user/agent tags |
| Context assembly | Built-in: context().pack() with token budgeting | Not included — retrieval only |
| State management | Checkpoints, branching, rollback | Not included |
| Fact evolution | Superseding with audit trail | Overwrite or append |
| Extraction method | Pluggable rules-based (no LLM required) | LLM-based extraction on every turn |
| Sub-agent sharing | harness.spawn() with scope isolation | Manual — pass memories between agents |
| Default backend | SQLite (local-first, offline) | Cloud API (managed service) |
| Open source | Yes — MIT license, full SDK | Yes — open-source core, managed cloud option |
| LLM dependency | None — db0 never calls a model | Required for extraction |
When mem0 is the better fit
- You only need memory retrieval — store facts, search them later, done.
- You prefer a managed cloud service over running your own storage.
- LLM-based extraction is acceptable for your workload and cost profile.
- Your agents are single-turn or short-lived — no need for state recovery or context assembly.
When db0 is the better fit
- Your agent runs multi-step tasks where facts change and old versions need to be retired, not deleted.
- You need context assembly — packing relevant memories into a token budget before each LLM call.
- You need state recovery: checkpoints, branching, and rollback when the agent makes a wrong turn.
- You spawn sub-agents that need shared user memory with isolated task memory.
- You want local-first storage — SQLite default, works offline, no API keys.
- You want extraction without LLM calls — rules-based extraction keeps costs predictable.
The honest take
mem0 is a more mature product with a managed cloud offering. If memory retrieval is your only requirement, it gets the job done with less setup.
db0 covers more surface area — memory, context, state, sub-agents — but it's earlier-stage (v0.3) and the API is still evolving. Pick db0 if you need the full data lifecycle. Pick mem0 if you need production-hardened memory retrieval today.
Try db0
Core SDK
npm i @db0-ai/core
AI SDK
npm i @db0-ai/ai-sdk
LangChain
npm i @db0-ai/langchain