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https://github.com/cpacker/MemGPT

Create LLM agents with long-term memory and custom tools 📚🦙
https://github.com/cpacker/MemGPT

chat chatbot gpt gpt-4 llm llm-agent

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Create LLM agents with long-term memory and custom tools 📚🦙

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README 

        


  

    

    

    Letta logo

  






Letta (previously MemGPT)






[Homepage](https://letta.com) // [Documentation](https://docs.letta.com) // [Letta Cloud](https://forms.letta.com/early-access)






**👾 Letta** is an open source framework for building stateful LLM applications. You can use Letta to build **stateful agents** with advanced reasoning capabilities and transparent long-term memory. The Letta framework is white box and model-agnostic.

  

[![Discord](https://img.shields.io/discord/1161736243340640419?label=Discord&logo=discord&logoColor=5865F2&style=flat-square&color=5865F2)](https://discord.gg/letta)

[![Twitter Follow](https://img.shields.io/badge/Follow-%40Letta__AI-1DA1F2?style=flat-square&logo=x&logoColor=white)](https://twitter.com/Letta_AI)

[![arxiv 2310.08560](https://img.shields.io/badge/Research-2310.08560-B31B1B?logo=arxiv&style=flat-square)](https://arxiv.org/abs/2310.08560)

[![Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-silver?style=flat-square)](LICENSE)

[![Release](https://img.shields.io/github/v/release/cpacker/MemGPT?style=flat-square&label=Release&color=limegreen)](https://github.com/cpacker/MemGPT/releases)

[![GitHub](https://img.shields.io/github/stars/cpacker/MemGPT?style=flat-square&logo=github&label=Stars&color=gold)](https://github.com/cpacker/MemGPT)






> [!NOTE]

> **Looking for MemGPT?** You're in the right place!

>

> The MemGPT package and Docker image have been renamed to `letta` to clarify the distinction between MemGPT agents and the API server / runtime that runs LLM agents as *services*.

>

> You use the **Letta _framework_** to create **MemGPT _agents_**. Read more about the relationship between MemGPT and Letta [here](https://www.letta.com/blog/memgpt-and-letta).



## ⚡ Quickstart



The two main ways to install Letta are through **pypi** (`pip`) or via **Docker**:

* **`pip`** (guide below) - the easiest way to try Letta, will default to using SQLite and ChromaDB for the database backends

* **Docker** (guide [here](https://docs.letta.com/install#run-letta-with-docker)) - recommended for production settings, will default to using Postgres (+ pgvector) for the database backend



### Step 1 - Install Letta using `pip`

```sh

$ pip install -U letta

```



### Step 2 - Set your environment variables for your chosen LLM / embedding providers

```sh

$ export OPENAI_API_KEY=sk-...

```



For Ollama (see our full [documentation](https://docs.letta.com/install) for examples of how to set up various providers):

```sh

$ export OLLAMA_BASE_URL=http://localhost:11434

```



### Step 3 - Run the Letta CLI



You can create agents and chat with them via the Letta CLI tool (`letta run`):

```sh

$ letta run

```

```

🧬 Creating new agent...

? Select LLM model: letta-free [type=openai] [ip=https://inference.memgpt.ai]

? Select embedding model: letta-free [type=hugging-face] [ip=https://embeddings.memgpt.ai]

->  🤖 Using persona profile: 'sam_pov'

->  🧑 Using human profile: 'basic'

->  🛠️  8 tools: send_message, pause_heartbeats, conversation_search, conversation_search_date, archival_memory_insert, archival_memory_search, core_memory_append, core_memory_replace



🎉 Created new agent 'InspiringSpinach'



Hit enter to begin (will request first Letta message)



💭 User engaged. Recognize as Chad. Acknowledge presence and establish connection. Explore interests and engage in meaningful discourse.

🤖 Hello, Chad. It's nice to meet you. I am keen on learning and exploring new ideas and concepts. Is there a specific topic you'd like to discuss today?



> Enter your message: my name is Brad, not Chad...



💭 A discrepancy in identity. Reflect this change in core memory. Apologize for the oversight, and rectify the error.

⚡🧠 [function] updating memory with core_memory_replace

         First name: Chad

        → First name: Brad

💭 Apologize for the mistake in recognizing his name, and begin the conversation anew, addressing him by the correct name this time.

🤖 I apologize for the oversight, Brad. Let's restart. It's a pleasure to meet you, Brad. Is there a specific topic you'd like to discuss today?



> Enter your message:

```



### Step 4 - Run the Letta server



You can start the Letta API server with `letta server` (see the full API reference [here](https://docs.letta.com/api-reference)):

```sh

$ letta server

```

```

Initializing database...

Running: uvicorn server:app --host localhost --port 8283

INFO:     Started server process [47750]

INFO:     Waiting for application startup.

INFO:     Application startup complete.

INFO:     Uvicorn running on http://localhost:8283 (Press CTRL+C to quit)

```



When you start the Letta API server, the ADE (Agent Development Environment) will be available on `http://localhost:8283`:

Screenshot of the Letta ADE (Agent Development Environment)



In Letta, all agents are stored/persisted in the same database, so the agents you create in the CLI are accessible via the API and ADE, and vice versa. Check out the [quickstart guide on our docs](https://docs.letta.com/quickstart) for a tutorial where you create an agent in the Letta CLI and message the same agent via the Letta API.



## 🤗 How to contribute



Letta is an open source project built by over a hundred contributors. There are many ways to get involved in the Letta OSS project!



* **Contribute to the project**: Interested in contributing? Start by reading our [Contribution Guidelines](https://github.com/cpacker/MemGPT/tree/main/CONTRIBUTING.md).

* **Ask a question**: Join our community on [Discord](https://discord.gg/letta) and direct your questions to the `#support` channel.

* **Report ssues or suggest features**: Have an issue or a feature request? Please submit them through our [GitHub Issues page](https://github.com/cpacker/MemGPT/issues).

* **Explore the roadmap**: Curious about future developments? View and comment on our [project roadmap](https://github.com/cpacker/MemGPT/issues/1533).

* **Join community events**: Stay updated with the [event calendar](https://lu.ma/berkeley-llm-meetup) or follow our [Twitter account](https://twitter.com/Letta_AI).



---



***Legal notices**: By using Letta and related Letta services (such as the Letta endpoint or hosted service), you are agreeing to our [privacy policy](https://www.letta.com/privacy-policy) and [terms of service](https://www.letta.com/terms-of-service).*