LLM Orchestration

MemGPT

Teaching LLMs memory management for unbounded context

Status
Generally available
Last checked
Checked · Oct 15, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

MemGPT is a framework that teaches large language models how to manage their own memory, enabling them to handle unbounded context. This makes it ideal for applications requiring long-term memory and complex reasoning.

MemGPT stands out by focusing on teaching LLMs to manage their own memory, a unique approach enabling unbounded context and complex reasoning that is not commonly addressed in other frameworks.

When it fits — and when it doesn’t

A good fit for

  • Researchers and developers working on applications requiring long-term memory in LLMs

  • Teams building conversational AI systems where context retention is critical

Look elsewhere if

  • Projects that require real-time processing without the need for persistent memory

  • Applications with strict performance constraints where additional overhead from memory management could be prohibitive

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited integrations with other platforms and tools

    Primarily focused on Python ecosystem, limited direct support for other languages or frameworks

  2. 02

    Complex setup process for new projects

    Requires configuration of multiple components and dependencies to get started

What it does well

  • Teaches LLMs to manage memory for unbounded context

  • Enables complex reasoning and long-term memory in applications

  • Open-source under Apache-2.0 license

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up MemGPT

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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