NeoHive vs Mem0 / OpenMemory
The most-searched memory layer, but personalization-first and blind to your code. NeoHive is a context engineering layer that runs on-premises and returns your team’s knowledge and live codebase in a single query, via the Model Context Protocol (MCP).
What Mem0 / OpenMemory is
The most-searched agent memory layer. Mem0 is managed memory (vector + graph + key-value, with automatic fact extraction); OpenMemory is its local-first MCP server. It has one of the largest communities in the category.
Mem0 watches conversations and automatically extracts durable facts, then serves them back across MCP clients. It is personalization-first: memory is scoped to a user, session, or agent, with an organization scope for shared context.
At a glance
| Mem0 / OpenMemory | NeoHive | |
|---|---|---|
| Scope | Personalization-first (org scope available) | Team-shared knowledge + code |
| Codebase | No codebase / Git sync | Live Git sync as one retrieval surface |
| Hosting | OSS self-host or managed (egress on managed) | Self-host by default, zero outbound |
| What it stores | Extracted facts from conversations | Conventions, decisions, and the code that implements them |
Details as of July 2026 and change often; verify current capabilities with each vendor.
Where Mem0 / OpenMemory is strong
- Largest community in the category
- Polished, strong personalization
- Managed option with many vector backends
Where it leaves a gap
- Personalization-first; not built to unify team knowledge with your code
- No codebase or Git sync
- Managed tier sends data out; built-in graph memory is a managed-tier feature (OSS needs an external graph store)
The difference
Mem0 nails per-user recall. But the expensive context is what your team already figured out and the code that implements it, and that is what NeoHive holds, in one retrieval surface you self-host.