Free: $0, includes up to 5 members, 100 context nodes, and 100 MB of indexed content. Team: $25 per seat per month (or $200 per seat billed annually), includes up to 25 members, 1,000 context nodes, and 1 GB of indexed content. Enterprise: custom pricing, includes Forward Deployed Engineers, Hybrid
Key features
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
Model-agnostic: runs on Claude, GPT, Gemini, or open-weight models
Full observability: trace every tool call, retrieval, and reasoning step
Isolated execution: tool calls run in isolated environments by default
Code mode: reduces token usage to one-third of traditional approaches
Self-hosted on your infrastructure: cloud, on-prem, or air-gapped
MCP server integration: works with existing MCP servers unchanged
Open source under MIT license
Automatic model failover and switching
What makes it different
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
Isolated by default with no direct system access
Reduces token usage to approximately one-third
Runs end-to-end air-gapped with no external network calls
Full transparency through open agent-observability spec (AVP)
No vendor lock-in: switch models without rewriting agents
CogniCore
Port of Context