Memary
Longterm Memory for Autonomous Agents with 2,568 GitHub stars.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Memary?
Memary is a long-term memory framework designed to enhance the capabilities of autonomous agents. It provides robust storage and retrieval mechanisms that are crucial for maintaining context over time in AI-driven applications.
Key differentiator
“Memary stands out as a specialized framework for long-term memory management in autonomous agents, offering unique features such as flexible data retrieval mechanisms and scalable architecture.”
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
Primary development is in Python, with no official support for other languages
GitHub repository has few contributors and open issues remain unresolved
Fit analysis
Who is it for?
✓ Best for
Teams developing autonomous agents who need robust memory management
Projects requiring long-term data persistence for AI models
Developers working on applications that benefit from context-awareness over time
✕ Not a fit for
Applications needing real-time streaming capabilities (Memary focuses on batch processing)
Use cases where minimal setup and configuration are required (Memary requires self-hosting)
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
Alternatives
Next step
Get Started with Memary
Step-by-step setup guide with code examples and common gotchas.