Talk to Iris, inspect work and files, and explore local data in a terminal.
Stage
Startup
Not given
Founded
2024
Not given
Based in
US
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Pricing model
Freemium
Free
Pricing
Self-hosted: Free, MIT licensed. Hindsight Cloud: Pay-as-you-go with free credits to start. Retain (store memories) $10.00 per million tokens, Recall (retrieve memories) $0.75 per million tokens, Reflect (synthesize patterns) $0.05 per call, Iris Extract (structured extraction) $7.50 per million tok
Not given
Key features
Per-user persistent memory with preferences, history and decisions kept separate
Cross-session persistence allows context to survive weeks between interactions
Fast parallel retrieval in under 100ms through four strategies running simultaneously
Works with any LLM without losing learned context when swapping models
Learns from mistakes and corrects behavior on repeated problems
Automatic pattern detection synthesizes individual facts into consolidated knowledge
Conflict detection preserves both old and new states with timestamps when facts change
Integrates with 20+ coding agents including Claude Code, Cursor, and Copilot
Chat with Iris AI assistant
File inspection and management
Local data exploration
MCP integration
Multi-theme support
Configuration management
Passkey-based authentication
Multiple device support
What makes it different
94.6% retrieval accuracy on LongMemEval-S, beating next-best system at 74.0%
MIT licensed open source with no usage limits, telemetry or restrictions
Reflection layer automatically builds judgment and mental models over time without manual tagging
Entity resolution handles hundreds of entities with 99.5% query reduction
Runs natively on Windows and Linux without requiring Bun installation
Supports multiple installation methods including npm, pip, PowerShell, and shell scripts
Integrates with OpenAI-compatible and Anthropic-compatible APIs
Manages skills, plugins and MCP extensions without requiring package rebuilds
Vectorize
Dyadic Terminal