AI Agents
hindsight
Agent memory that learns — so your agents get smarter over time.
★ 47.0k starsMIT
View guide →Stateful AI agents with memory that learns and improves.
letta is an open-source ai agents project by letta-ai (letta-ai/letta on GitHub). It has 25,073 GitHub stars and 2,643 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 10 September 2026.
Choose one real workload to test the project against.
Clone it locally and read through the getting-started guide.
Install the stack it needs and set any environment variables.
Execute the starter example and check results before going further.
Agents that persist state across sessions.
Memory systems designed for long-term learning.
Agents that refine behavior over time.
More than a library — a full agent platform.
Permissive licensing.
25k+ stars and an active community.
Install Letta from PyPI.
pip install lettaAdd your model provider keys per the docs.
# see docs for server vs. local setupFollow the quickstart to launch your first stateful agent.
# see README for the exact CLI commandsIt is maintained by the letta-ai organization at letta-ai/letta, with 2,643 forks. The docs site tracks current development.
Yes. It is released under the Apache-2.0 license, which permits commercial use, modification, and redistribution. Read the LICENSE file for the exact terms.
You need model API access; check the docs for managed versus self-hosted options.
Compare memory models and statefulness — persistent, learning memory is Letta's core pitch.
Read the docs, install the package, and follow the quickstart to run your first agent.
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