Long-term memory for AI agents that organizes itself and corrects itself
Persistent memory for AI agents and robots with Git-style versioning
Stage
MVP
Not given
Founded
Not given
Not given
Based in
SE
Not given
Pricing model
Free
Freemium
Pricing
Personal: Free during early access. Unlimited memories, all agents with separate memories, no card required. Enterprise: On request, set up by the team for departmental organization with cross-department sharing and direct support.
Not given
Key features
Self-correcting memory that updates when facts change
Historical memory queries with time-based retrieval
Automatic topic organization and hierarchy
Separate memory for each agent with controlled sharing
Multi-agent support via MCP, REST API, or LangGraph
AES-256 encryption at rest and in backups
OAuth 2.1 authentication and API key management
Data export and deletion capabilities
37 MCP tools with automated verification on every code change
Hybrid vector and knowledge-graph retrieval
Zero-copy state branching and merging
44 memory tools over MCP protocol
Sub-0.4ms P99 retrieval latency
Built-in importers from Mem0, Zep, Pinecone and others
Entity deduplication and linking
Offline operation with fleet synchronization
Memory Copilot for schema generation
Object storage for multimodal state
What makes it different
Understands what changed, when it was true, and where it belongs - beyond vector database similarity
Never contradicts itself by automatically replacing outdated facts
Fully GDPR aligned with built-in privacy by design
Two-minute integration with Claude, ChatGPT, Cursor and any MCP client
Data stays in Europe on AWS eu-north-1 and never used for model training
Memory versioning with Git-style fork, diff and merge—test changes safely and undo mistakes
Native MCP integration: one URL works with Claude, Cursor, Windsurf and any MCP client
Seamless migration from Mem0, Zep, Pinecone and other systems without data loss
Axonio