Memory layer for AI agents that saves tokens, improves itself, and enforces access control
Stage
Startup
Startup
Founded
2024
2024
Based in
US
US
Pricing model
Freemium
Freemium
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
Self-hosted: Free for commercial use. GoodMem Cloud: From $15/mo with usage-based pricing, 14-day free trial. Enterprise: Custom pricing.
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
Automated retrieval stack optimization
Multimodal document processing with page images
Granular access control and permissions
Hybrid search with dense and sparse embedders
Support for multiple LLM providers
Multi-language SDKs and APIs
Flexible deployment options
ISO/IEC 27001 certified security
SLSA Build L3 provenance
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
Achieves frontier model quality at 1/35 of the cost using small self-hosted models
Automatically optimizes retrieval stack for your data on real queries
Vectorize
GoodMem