Open-Source AI · AI agent framework

Letta vs CAMEL

Letta 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

Choose Letta for agents that remember across sessions. Choose CAMEL for research and large-scale multi-agent simulation.

Letta vs CAMEL at a glance

SpecLettaCAMEL
CategoryAI agent frameworkAI agent framework
TypeAgent runtime (memory)Multi-agent framework
LicenseApache-2.0Apache-2.0
Runs locallySelf-hostedPartial
Primary languagePythonPython
Ease of useAdvancedAdvanced
Best foragents that remember across sessionsresearch and large-scale multi-agent simulation
GitHub stars23.8k17.4k

How Letta and CAMEL score

🤝 Too close to call — Letta and CAMEL land within a hair (4.1 vs 3.9 / 5). Pick on fit, not on score.
CriterionLettaCAMEL
Popularity3.53.5
Maintenance5.05.0
Ease of use2.52.5
Privacy4.53.5
License freedom5.05.0

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.

What each one is

Letta

Agent runtime (memory) · Apache-2.0

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
See the Letta page →

CAMEL

Multi-agent framework · Apache-2.0

CAMEL pioneered role-playing multi-agent systems: build societies of communicating agents for synthetic data, task automation and research on agent behavior at scale.

  • Pioneer of role-playing agent communication
  • Scales to societies of many agents
  • Strong academic backing and active research
See the CAMEL page →

Key differences

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.

Which should you choose?

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.

Frequently asked questions

Is Letta or CAMEL easier to use?

Both sit at a similar level (Advanced). Your choice should come down to fit rather than difficulty.

Are Letta and CAMEL free?

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.

Can I run Letta and CAMEL locally?

Letta: self-hosted · CAMEL: partial. Both can be used without sending your data to a third-party cloud where their setup allows.

Letta vs CAMEL — which should I pick in 2026?

Choose Letta for agents that remember across sessions. Choose CAMEL for research and large-scale multi-agent simulation.

People also compare

Explore more open-source AI

Browse thousands of open-source AI tools, models and projects — all curated in one place, updated daily.

Explore the directory →