MemGPT
Teaching LLMs memory management for unbounded context
Pricing
Free tier
Flat rate
Adoption
↗RisingLicense
Open Source
Data freshness
Verified · Jul 16, 2026Overview
What is MemGPT?
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.
Key differentiator
“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.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primarily focused on Python ecosystem, limited direct support for other languages or frameworks
Requires configuration of multiple components and dependencies to get started
Fit analysis
Who is it for?
✓ Best for
Researchers and developers working on applications requiring long-term memory in LLMs
Teams building conversational AI systems where context retention is critical
✕ Not a fit for
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
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Integrations
Next step
Get Started with MemGPT
Step-by-step setup guide with code examples and common gotchas.