Ad
Learn more

AgentOS vs Letta

Learn how AgentOS and Letta differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai agent platforms is best for you.

vs

AgentOS

AI
Open-source TypeScript runtime for autonomous AI agents with cognitive memory, multi-agent orchestration, runtime tool generation, and support for 21 LLM providers.
683stars+10(+1.5%)

Last 30 days

Screenshot of AgentOS

Letta

AI
Build persistent AI agents with continuous memory, scheduled tasks, and multi-channel communication via Slack, Discord, and Telegram, using your own API keys.
3,718stars+286(+8.3%)

Last 30 days

Screenshot of Letta

Detailed Comparison

Letta appears to have several advantages over AgentOS, particularly in popularity, growth and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.

Letta wins
Community & Popularity

Letta significantly outpaces AgentOS in community adoption with 3,718 stars compared to 683 stars on GitHub. This 5.4x difference suggests Letta has a much larger and more active community. In terms of developer contributions, Letta has 453 forks, indicating moderate developer engagement.

Letta wins
Growth Momentum

Letta is growing faster, adding 286 stars in the last 30 days (+8.3%) against adding 10 stars for AgentOS (+1.5%). Letta is both larger and pulling further ahead.

Comparable
Development Activity

Both projects show recent activity, with AgentOS last updated 8 hours ago and Letta 6 hours ago.

Comparable
Technology Stack

Both tools share common technology foundations, being built with JavaScript, Typescript. However, they differ in their additional technology choices: Letta leverages CSS, Bash, Python.

Comparable
Project Maturity

Both projects started around the same time, with AgentOS beginning 1 year ago and Letta 1 year ago.

Comparable
Licensing

Both projects use the Apache-2.0 license, providing identical terms for usage and distribution.

Comparable
Use Cases & Features

Both tools serve similar use cases in AI Agent Platforms. However, they also have distinct specializations: Letta extends into AI Memory & Context.

Letta wins
Hosting & Deployment

Letta provides self-hosting options for complete data control and customization, while AgentOS may be primarily cloud-based or require different deployment approaches.

Other tool comparisons to consider