AIVM Brain vs Letta
An agent platform where the agent manages its own memory, vs a governed brain your existing agents share.
Letta, from the MemGPT research lineage, is an agent platform: you build long-running agents that manage their own memory the way an OS manages RAM and disk. AIVM Brain is not an agent platform; it is the governed memory your existing agents (Claude Code, Cursor, Codex, assistants) connect to and share, with permissions and a verifiable audit built in.
At a glance
| AIVM Brain | Letta | |
|---|---|---|
| What it is | A governed brain your existing agents connect to over MCP | An agent platform (MemGPT lineage) with self-managed memory |
| Core idea | One shared, permission-aware memory for people and agents | The agent itself pages memory in and out, like an OS manages RAM |
| You bring | The agents you already use: Claude Code, Cursor, Codex, Hermes, OpenClaw | Agents you build on the Letta runtime |
| Access control | Per-person and per-agent permissions, field-level redaction | Application-level; the platform focuses on the agent's own memory |
| Audit and proof | Tamper-evident content-blind ledger, optional on-chain anchor, provable deletion | Not the platform's focus |
| Deployment | Hosted, per-tenant Postgres isolation, bring your own model key | Self-hosted or managed; strong self-hosting story |
| Getting started | npx @aivm/brain init, free to start | Deploy the platform, then build your agent on it |
Why teams compare them
Both promise agents that remember. The difference is what you are buying: Letta is a runtime for building stateful agents from scratch, with self-managed memory as its core idea. Brain assumes you already run agents you like and gives them a shared, governed memory over MCP. Build a new agent on Letta; give the agents you have a brain with Brain.
Developers Digest's 2026 provider comparison calls Letta the strongest choice for self-hosted, OS-style memory control.
Source: Developers Digest, Best AI Agent Memory Providers in 2026A runtime versus a memory
Letta's bet is architectural: agents get genuinely better when they control their own memory, deciding what stays in context and what gets archived. For long-running autonomous agents built from scratch, that control is the point, and Letta is the most serious platform built around it. Brain makes the opposite assumption: the agents you use daily are already built, by Anthropic, OpenAI, Cursor, and open-source communities, and what they lack is a shared, governed store of your knowledge. You do not rebuild your agents; you connect them.
The team dimension
Self-managed memory answers how one agent remembers. It does not answer who else may recall it. Brain's job starts there: several people and several agents sharing one memory, each seeing only what their role allows, with redaction for the sharp edges and a ledger that records every access content-blind. If a security review is in your future, that is the layer it will ask about.
Where Letta is the better fit
You are building a long-lived autonomous agent as a product, you want the agent to own its memory decisions, and you value a self-hosted runtime with research pedigree. That is Letta's home turf. Brain is not an agent runtime and does not want to be.
Who each is best for
Questions, answered
Is Letta the same as MemGPT?
Letta is the platform that grew out of the MemGPT research project, carrying its core idea forward: the agent manages its own memory the way an operating system manages RAM and disk.
Can Letta agents use AIVM Brain?
Any agent that can call MCP tools can query a Brain with a scoped key, so a Letta-built agent can participate in a governed team brain alongside your other agents.
Which should a non-developer pick?
Brain. Letta is a platform for people building agents. Brain connects the tools you already use, with installs a non-developer can run.