Hyperspell vs Letta
Updated March 10, 2026
vs
Overview
Rating
10.0 / 10
Rating
10.0 / 10
Best For
AI agent developers
Best For
—
Product Summary
Automatic memory for AI agents - indexes connected data sources into a memory layer for personalized context.
Product Summary
Letta (formerly MemGPT) is an open-source framework for building AI agents with long-term memory and self-editing capabilities. It implements a virtual context management system that allows LLMs to manage their own memory hierarchy, enabling persistent state, unbounded context, and adaptive memory across conversations.
Starting Price
$0Per month
Starting Price
$25Per month (estimated)
Free Trial
Yes
Free Trial
Yes
Free Version
Yes
Free Version
No
Website
Website
Key features
Core capabilities each platform advertises.
- Agent memory
- Data indexing
- Context enrichment
Data not available
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Production-ready platform
- Good performance
- Active development
- Strong features
Cons
- Enterprise pricing varies
- Setup complexity
- Learning curve required
Pros
- Advanced structured memory with entities, facts, and timelines
- Extreme interpretability with human-readable memory
- Strong balance between flexibility and production readiness
- USD 10M seed funding validates technology approach
Cons
- Requires architectural decisions around vector stores and RAG
- Not a plug-and-play solution—needs developer expertise
- Community feedback suggests learning curve for optimal use
Compare Hyperspell and Letta on your own traffic
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 500+ models through one gateway.
10KFree traces/mo
500+Models
5 minSetup