Letta - AI Agent Frameworks Tool

Overview

Letta is an open-source agent framework focused on building production-ready AI agents that combine a new v1 agent architecture with tooling for parallel execution and human-in-the-loop control. The project emphasizes flexible orchestration of tools, improved memory retrieval, and developer ergonomics so teams can compose agents that query multiple sources, aggregate results, and defer sensitive decisions to humans. Core capabilities include parallel tool calls (run multiple tool invocations concurrently and merge outputs), explicit human-in-the-loop tool execution (pause or request approval during workflows), and an improved memory search layer for more accurate context retrieval across sessions. Letta is released under the Apache-2.0 license and—according to the GitHub repository—has attracted significant community interest, making it suitable for experimentation, customization, and integration into larger systems (for example: multi-step data collection agents that fetch APIs and databases in parallel, then ask a human to confirm before writing changes).

GitHub Statistics

• Stars: 20,572
• Forks: 2,142
• Contributors: 138
• License: Apache-2.0
• Primary Language: Python
• Last Updated: 2025-12-31T20:24:14Z
• Latest Release: 0.16.1

According to the GitHub repository, Letta has 20,572 stars, 2,142 forks, and 138 contributors, and is licensed under Apache-2.0. The project shows active maintenance with the latest recorded commit on 2025-12-31. The contributor count and high star count indicate strong community interest and a healthy pool of maintainers and external contributors.

Installation

Install via pip:

# See the project README for exact installation instructions: https://github.com/letta-ai/letta

git clone https://github.com/letta-ai/letta.git

cd letta

# Follow the repository README for environment setup, dependencies, and install commands

Key Features

• v1 agent architecture designed for modular, production-oriented agent design
• Parallel tool calls: invoke multiple tools simultaneously and aggregate results
• Human-in-the-loop execution: pause agent workflows to request human approval
• Improved memory search for more relevant context retrieval across sessions
• Open-source Apache-2.0 license with community-contributed extensions and tooling

Community

Letta has a large and active community—20,572 stars and 138 contributors on GitHub. Development activity and community contributions are visible via the repository's issues, pull requests, and frequent commits.

Key Information

• Category: Agent Frameworks
• Type: AI Agent Frameworks Tool