Long-term memory for AI agents that organizes itself and corrects itself
Memory that follows you between AI apps
Stage
MVP
Not given
Founded
Not given
Not given
Based in
SE
Not given
Pricing model
Free
Open source
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
Connect to Claude via custom connector in Settings
Add to ChatGPT with developer mode
Automatic session save for Claude Code and Codex
Save and resume sessions with brief summaries
GitHub sign-in for private separate memory
Delete individual memories or all data by email
Zero model calls to save a session
Session brief generated in ~450 tokens
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Never contradicts itself by automatically replacing outdated facts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
Shared memory across multiple AI apps and agents, not confined to one app
Setup in about one minute with no credit card or waitlist
Open source code so users can verify data handling
No data selling, ads or use for AI model training
Private per-account database with no cross-account access
CogniCore