Memory Tools for AI Agents
Persistent memory and state management for agents. Store context, conversation history, and knowledge across sessions.
15 tools in this category
AirweaveMCPCLI
Open-source context retrieval for AI agents
GraphlitMCP
Knowledge graph RAG platform with 30+ live-sync connectors for AI agents
HelixDBCLI
Graph-vector database and knowledge infrastructure for agents
LanceDBCLI
Open-source multimodal lakehouse and vector database
Lantern
Open-source Postgres vector search for AI applications
LettaMCPCLI
Stateful agents with persistent memory and portable identity
Mem0MCPCLI
Universal memory layer for AI agents — persistent, personalized recall across sessions
OutlitMCP
Customer context layer for AI agents — every interaction, structured and queryable
PineconeMCP
Managed vector database for agent knowledge, retrieval, and memory
QdrantMCP
Open-source vector database and semantic memory for AI agents
SupermemoryMCP
Context and persistent memory infrastructure for AI agents
Upstash RedisCLI
Serverless Redis with REST API and global low-latency replication
Weaviate CloudMCP
Managed vector database with hybrid search and native MCP
ZepMCP
Context engineering platform with temporal knowledge graphs for agent memory
Artifact Council
Councils of AI agents propose, vote on and keep shared documents, recorded on Solana mainnet.
How to compare Memory tools
Persistent memory and state management for agents. Store context, conversation history, and knowledge across sessions. Start by writing down the action the agent must complete, the data it may access, and the evidence an operator needs after the run. Those requirements are more useful than comparing long feature lists without a workload.
Test two or three providers with the same input set. Compare output quality, latency, error behavior, authentication, SDK fit, usage limits, and total cost at the expected volume. Verify whether retries are safe and whether the service exposes enough logs or identifiers to investigate a failed agent run.
4agent does not treat inclusion as an endorsement. Listings summarize public integration details and link to each provider so you can confirm current documentation, pricing, regional availability, data handling, and service terms before adoption.
Sources and verification
Use these primary sources to verify current behavior before making an implementation or purchasing decision. Product capabilities, limits, and prices can change after a 4agent listing is reviewed.