Letta vs
CAMELLetta vs CAMEL compared for 2026 — features, license, ease of use, performance and which one to choose. Stateful agents with long-term memory vs The research framework for agent societies.
Updated regularly · curated by OpenSourceAI.tech
| Spec | Letta | CAMEL |
|---|---|---|
| Category | AI agent framework | AI agent framework |
| Type | Agent runtime (memory) | Multi-agent framework |
| License | Apache-2.0 | Apache-2.0 |
| Runs locally | Self-hosted | Partial |
| Primary language | Python | Python |
| Ease of use | Advanced | Advanced |
| Best for | agents that remember across sessions | research and large-scale multi-agent simulation |
| GitHub stars | 23.8k | 17.4k |
| Criterion | Letta | CAMEL |
|---|---|---|
| Popularity | 3.5 | 3.5 |
| Maintenance | 5.0 | 5.0 |
| Ease of use | 2.5 | 2.5 |
| Privacy | 4.5 | 3.5 |
| License freedom | 5.0 | 5.0 |
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.
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.
CAMELCAMEL pioneered role-playing multi-agent systems: build societies of communicating agents for synthetic data, task automation and research on agent behavior at scale.
Letta is agent runtime (memory), while CAMEL is multi-agent framework. They also differ in how they run (Self-hosted vs Partial). In short, Letta fits agents that remember across sessions, and CAMEL fits research and large-scale multi-agent simulation.
Choose Letta for agents that remember across sessions. Choose CAMEL for research and large-scale multi-agent simulation.
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.
Both sit at a similar level (Advanced). Your choice should come down to fit rather than difficulty.
Letta is free and open source (Apache-2.0), and CAMEL is free and open source (Apache-2.0). Neither charges for the core software.
Letta: self-hosted · CAMEL: partial. Both can be used without sending your data to a third-party cloud where their setup allows.
Choose Letta for agents that remember across sessions. Choose CAMEL for research and large-scale multi-agent simulation.
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