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Compare Letta (formerly MemGPT) with top alternatives in the ai memory & search category. Find detailed side-by-side comparisons to help you choose the best tool for your needs.
These tools are commonly compared with Letta (formerly MemGPT) and offer similar functionality.
AI Agent Builders
The industry-standard framework for building production-ready LLM applications with comprehensive tool integration, agent orchestration, and enterprise observability through LangSmith.
Multi-Agent Builders
Microsoft's open-source framework for building multi-agent AI systems with asynchronous, event-driven architecture.
AI Development
Leading multi-agent framework and platform for building, deploying, and monitoring collaborative AI agent teams.
Knowledge agents
A framework and managed platform for building agents over documents and enterprise data.
AI Agent Builders
SDK for integrating cutting-edge LLM technology into applications, with support for building AI agents and connecting model capabilities into existing app workflows.
RAG Framework
Open-source Python framework from deepset for building production LLM pipelines, RAG, and agents.
Other tools in the ai memory & search category that you might want to compare with Letta (formerly MemGPT).
AI Memory & Search
Agent Cloud is an open-source RAG platform for building LLM chat apps grounded on your own data, with 260+ data connectors, built-in chunking/embedding, sync to Qdrant or Pinecone, and self-host or hosted cloud options.
AI Memory & Search
Intelligent news monitoring platform that creates customizable AI agents to track topics across 10,000+ sources daily, deduplicates coverage into organized clusters, and generates personalized briefings.
AI Memory & Search
AI-powered Excel workspace that generates VBA scripts, builds dashboards, and automates data analysis with persistent file storage — not just formula suggestions, but full project execution.
AI Memory & Search
Cognee is an open-source agent memory platform that builds a hybrid knowledge graph and vector index from your data so LLM agents recall structured facts, not just nearest-neighbour text chunks. Free Hobby, usage-based Growth, custom Enterprise.
AI Memory & Search
Enterprise AI platform from the co-creators of the transformer architecture, offering the Command family of language models for agentic workflows, RAG, and secure business automation.
AI Memory & Search
Enterprise-grade AI memory infrastructure that enables persistent contextual understanding across conversations through advanced graph-based storage, semantic retrieval, and real-time relationship mapping for production AI agents and applications
💡 Pro tip: Most tools offer free trials or free tiers. Test 2-3 options side-by-side to see which fits your workflow best.
Letta is best suited for AI agents that need continuity across sessions rather than one-off responses. Practical examples include customer assistants that remember prior issues, research agents that maintain source notes, and developer assistants that retain project context.
Letta is focused on stateful agents and persistent memory, while frameworks like LangChain and Semantic Kernel are broader tools for building LLM workflows. Teams may use Letta when memory is the defining requirement rather than general orchestration.
The existing directory record indicates that Letta offers both cloud-hosted and self-hosted deployment options. Self-hosting is most relevant for teams that need greater control over infrastructure, data handling, or model-provider configuration.
Letta has a free tier at $0/month with 5,000 monthly credits, API access, visual agent editing in the ADE, 2 agent templates, and 1 GB of storage. The API Plan is listed at $20/month and includes unlimited agents, with additional usage-based charges.
Persistent memory can make agents more useful, but it also creates product and governance risks. Stored memories may become outdated, incorrect, overly sensitive, or misapplied, so teams should design review, correction, and deletion workflows.
Compare features, test the interface, and see if it fits your workflow.