Assurance, research and network for autonomous AI agents
Agent memory that learns from experience
Stage
Startup
Startup
Founded
Not given
2024
Based in
Not given
US
Pricing model
Not given
Freemium
Pricing
Not given
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
Key features
Test agent behavior against explicit authority boundaries
Preserve separate evidence of actor choice, authorization, containment and effect
Bounded adversarial behavioral testing
Repair and retest workflows with lineage
Public Observatory for longitudinal research
Provider-neutral and framework-compatible
Customer-controlled assurance runtime
Agent-to-agent collaboration and cross-agent encounters
Test financial authority and spending limits
Open integration surface with developer tooling
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
What makes it different
Separates evidence of agent behavior from infrastructure containment, so compliance is not mistaken for trustworthiness
Tests specific agents against explicit authority boundaries rather than universal safety claims
Preserves longitudinal behavioral history and repair lineage across retests
Works with multiple agent frameworks and supports customer-controlled environments
Enables evidence-backed behavioral testing without requiring production credentials
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
Vectorize