AgentRecall
agentrecall.cloudPersistent, intelligent memory for AI agents across sessions
Dev Toolsai-agentsmemorysdksemantic-searchgraph-databaseopen-sourcemcp
About
AgentRecall is an open-source SDK that gives AI agents persistent memory using a Neo4j-powered graph database, vector semantic search, and AI-powered entity extraction. It supports both self-hosted and cloud deployment modes, allowing developers to store, search, and traverse memories across conversations. The SDK integrates with tools like Claude Desktop via MCP and supports multi-agent architectures with isolated namespaces.
Problem
AI agents lose all context between sessions, forcing users to repeat themselves and preventing agents from building on past interactions.
For
AI developers building agents or multi-agent systems
How it works
Developers install the SDK, store memory entries after each interaction, and retrieve relevant context via semantic search or graph traversal — backed by Neo4j and vector embeddings.
Business model
freemium
Status
launched