Letta vs Vectoree
Letta vs Vectoree compared for 2026 — features, license, ease of use, performance and which one to choose. Stateful agents with long-term memory vs One project key for models, auth, Postgres and storage.
Updated regularly · curated by olud.ai
Letta vs Vectoree at a glance
| Spec | Letta | Vectoree |
|---|---|---|
| Category | AI agent framework | AI agent framework |
| Type | Agent runtime (memory) | Hosted backend for coding agents (SaaS) |
| License | Apache-2.0 | Proprietary |
| Runs locally | Self-hosted | No |
| Primary language | Python | — |
| Ease of use | Advanced | Intermediate |
| Best for | agents that remember across sessions | developers who want one key for models, auth, database and storage |
| GitHub stars | 25.3k | — |
How Letta and Vectoree score
| Criterion | Letta | Vectoree |
|---|---|---|
| Popularity | 3.5 | n/a |
| Maintenance | 5.0 | n/a |
| Ease of use | 2.5 | 3.5 |
| Privacy | 4.5 | 3.5 |
| License freedom | 5.0 | 1.5 |
Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.
What each one is
Letta
Letta (formerly MemGPT) is a framework and server for building stateful agents with long-term memory that persists across sessions, with a visual agent editor.
- Persistent long-term agent memory
- Server with REST API and visual editor
- Model-agnostic and self-hostable
Vectoree
Vectoree is a hosted backend for coding agents: one project key gives an OpenAI-compatible model gateway, an MCP tool hub, auth, Postgres and object storage, via a web console, @vectoree/cli and an agent skill. No subscription, usage billed per model from a prepaid wallet. Note before using it: it holds your end users sign-in details and files yet publishes no terms or privacy policy, and an empty wallet cuts off the gateway it runs on.
- OpenAI-compatible gateway: existing code moves over by changing the base URL and key
- Auth, one Postgres database and object storage come with the project, same console
- No monthly fee: usage billed per model from a prepaid wallet, $5 credit once linked
Key differences
Letta is agent runtime (memory), while Vectoree is hosted backend for coding agents (SaaS). Their licenses differ (Apache-2.0 vs Proprietary), which matters if you ship a commercial product. Letta leans more advanced-friendly, whereas Vectoree is more suited to intermediate users. They also differ in how they run (Self-hosted vs No). In short, Letta fits agents that remember across sessions, and Vectoree fits developers who want one key for models, auth, database and storage.
Which should you choose?
Choose Letta for agents that remember across sessions. Choose Vectoree for developers who want one key for models, auth, database and storage.
There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.
Frequently asked questions
Is Letta or Vectoree easier to use?
Vectoree is generally the easier of the two to get started with, while Letta rewards more setup with more control.
Are Letta and Vectoree free?
Letta is free and open source (Apache-2.0), and Vectoree is free to use but closed source. Neither charges for the core software.
Can I run Letta and Vectoree locally?
Letta: self-hosted · Vectoree: no. Both can be used without sending your data to a third-party cloud where their setup allows.
Letta vs Vectoree — which should I pick in 2026?
Choose Letta for agents that remember across sessions. Choose Vectoree for developers who want one key for models, auth, database and storage.
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