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 enabling multiple AI agents to collaborate autonomously through structured conversations. Features asynchronous architecture, built-in observability, and cross-language support for production multi-agent systems.
AI Agent Builders
Open-source Python framework that orchestrates autonomous AI agents collaborating as teams to accomplish complex workflows. Define agents with specific roles and goals, then organize them into crews that execute sequential or parallel tasks. Agents delegate work, share context, and complete multi-step processes like market research, content creation, and data analysis. Supports 100+ LLM providers through LiteLLM integration and includes memory systems for agent learning. Features 48K+ GitHub stars with active community.
AI Agent Builders
LlamaIndex: Build and optimize RAG pipelines with advanced indexing and agent retrieval for LLM applications.
AI Agent Builders
SDK for building AI agents with planners, memory, and connectors. - Enhanced AI-powered platform providing advanced capabilities for modern development and business workflows. Features comprehensive tooling, integrations, and scalable architecture designed for professional teams and enterprise environments.
AI Agent Builders
Production-ready Python framework for building RAG pipelines, document search systems, and AI agent applications. Build composable, type-safe NLP solutions with enterprise-grade retrieval and generation capabilities.
Other tools in the ai memory & search category that you might want to compare with Letta (formerly MemGPT).
AI Memory & Search
Revolutionary SQL-based tool that queries 40+ apps and services (GitHub, Notion, Apple Notes) with a single binary. Free open-source solution saving teams $360-1,800/year vs paid platforms, with AI agent integration via Model Context Protocol.
AI Memory & Search
Open-source vector database designed for AI applications with fast similarity search, multi-modal embeddings, and serverless cloud infrastructure for RAG systems and semantic search.
AI Memory & Search
Open-source framework that builds knowledge graphs from your data so AI systems can analyze and reason over connected information rather than isolated text chunks.
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
AI Memory & Search
Open-source embedded vector database built on the Lance columnar format, designed for multimodal AI workloads including RAG, agent memory, semantic search, and recommendation systems.
AI Memory & Search
LangChain memory primitives for long-horizon agent workflows.
💡 Pro tip: Most tools offer free trials or free tiers. Test 2-3 options side-by-side to see which fits your workflow best.
Unlike ChatGPT or Claude which forget conversations after each session, Letta agents maintain persistent memory across all interactions. They remember your preferences, past conversations, and context indefinitely, creating truly personalized AI relationships.
Yes, Letta is model-agnostic and supports all major LLM providers including OpenAI, Anthropic, Google, and open-source models. You can even transfer agent memory between different providers.
Letta offers both cloud-hosted and self-hosted options. For maximum security, you can deploy the open-source framework on your own infrastructure with complete data control. Cloud deployments use encryption and secure protocols.
Letta offers a free tier for basic usage, with paid plans starting at $20/month for 20 stateful agents. Enterprise API plans are available for organizations. Self-hosting is free with the open-source framework.
LangChain is excellent for complex workflows and has a large ecosystem, but lacks persistent memory. Letta focuses specifically on stateful agents that remember and learn over time, making it better suited for long-term AI relationships.
Compare features, test the interface, and see if it fits your workflow.