What are the best AI tools for agentic memory?

Agentic memory — giving AI agents the ability to retain, recall, and reason over information across sessions — is a core challenge in building reliable agent systems. Letta is the most purpose-built option: stateful agents whose memory persists across sessions. Mastra leads for teams that want observational memory and semantic recall baked into a production-ready framework, while Dify excels at pairing visual RAG pipelines with agent workflows. AutoGen is the go-to open-source choice for researchers and developers who need full control over how memory is implemented across multi-agent systems.

Top picks

Letta — best for stateful agents with persistent memory

Letta is built around agents that remember. Each agent is stateful and keeps persistent memory across sessions, and Letta versions that memory with Git so you can inspect and roll back what an agent knows. Sleep-time compute lets agents reorganize and reason over their memory in the background. It's open-source (Apache 2.0), self-hostable, and connects to Slack, Discord and WhatsApp. The free plan covers 3–5 stateful agents; Pro is $20/mo.

Mastra — best for TypeScript agents with built-in semantic memory

Mastra is a TypeScript-native agent framework with observational memory and semantic recall listed as a core strength — not a bolt-on. Agents built with Mastra can remember context across runs, making it well-suited for long-running, multi-step workflows. It supports 90+ model providers via a single API and includes built-in observability (traces, metrics, evals) so you can see exactly what your agent remembered and why. The open-source self-hosted option is free (Apache 2.0); the cloud Starter plan is $0/mo, with Teams at $250/mo.

Dify — best for RAG-powered memory in visual workflows

Dify combines a visual agentic workflow builder with native RAG pipeline support, making it one of the most accessible tools for grounding agents in long-term knowledge stores. Non-technical users can design retrieval pipelines through a drag-and-drop interface, while developers can self-host or deploy to a private VPC. It's open-source with a free Sandbox tier; paid plans start at $590/workspace/year.

AutoGen — best for open-source multi-agent memory research

AutoGen is a fully open-source, event-driven multi-agent framework that gives developers complete flexibility to design custom memory architectures — from simple in-context storage to complex external memory backends. Its web-based Studio UI allows no-code prototyping, and it supports MCP servers and gRPC-based distributed agents for scaling. It's free and self-hostable with no usage fees.

Activepieces — best for memory-aware automation across business teams

Activepieces is an open-source automation platform with a unified workspace (Chat, Agents, Flows, Tables, Connections) that supports human-in-the-loop approvals and MCP server integration. Its Tables feature can act as persistent memory for agents across workflows. With 760+ integrations, it's strong for teams that need agents to recall state across business tools. Free plan available; Plus starts at $20/mo.

MindStudio — best for no-code agents with memory across 200+ models

MindStudio lets non-developers build AI agents visually and connect them to 1,000+ integrations and 200+ AI models. Its Service Router selects the right model per task, and agents can be configured to retain context and memory across runs without writing code. A free tier is available; paid plans start at $20/mo.

AgentOps — best for debugging and auditing what agents remember

AgentOps focuses on agent observability, including Time Travel Debugging — the ability to rewind and replay agent runs to inspect exactly what information an agent had access to at each step. This makes it invaluable for teams diagnosing memory-related failures. It integrates natively with frameworks like LangChain and CrewAI. Free up to 5,000 events; Pro starts at $40/mo.

Comparison table

Tool	Best for	Free tier	Starting price
Letta	Stateful agents with persistent memory	✅	$20/mo
Mastra	TypeScript agents with semantic recall	✅	$0/mo
Dify	Visual RAG pipelines + agent workflows	✅	$590/workspace/year
AutoGen	Open-source multi-agent memory research	✅	$0/mo
Activepieces	Memory-aware automation across teams	✅	$20/mo
MindStudio	No-code agents with multi-model memory	✅	$20/mo
AgentOps	Debugging and auditing agent memory	✅	$40/mo

How to choose

• Want agents whose memory persists across sessions and can be versioned? Letta is purpose-built for exactly that, and it's open-source and self-hostable.
• Building production TypeScript agents that need semantic recall across sessions? Start with Mastra — memory and observability are first-class features, not plugins.
• Want a visual interface for RAG + agent workflows without writing much code? Dify is the most approachable option with strong self-hosting support.
• Researching or prototyping custom memory architectures in an open-source environment? AutoGen's flexible event-driven framework gives you full control.
• Need agents to remember state across business app workflows (CRMs, Slack, databases)? Activepieces with its Tables and 760+ integrations is built for this.
• Debugging why your agent "forgot" something? AgentOps Time Travel Debugging lets you rewind agent runs and inspect the exact memory state at each step.