| What it does | Agent memory that learns from experience
| AI Agent Control Plane: Observability & Governance
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| Stage | Startup
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| Founded | 2024
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| Based in | US
| IN
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| Pricing model | Freemium
| Freemium
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| 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
| Free plan: $0/month with 50K events/month and 7-day retention. Team plan: $299/month with 2M events/month and 90-day retention. Business plan: $799/month with 10M events/month and 1-year retention. Enterprise plan: Custom pricing with volume pricing, custom retention, and unlimited policies.
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| 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
| - Unified Agent Registry across LangChain, CrewAI, and OpenAI Agents SDK
- End-to-End OpenTelemetry-native tracing with full execution visibility
- Accurate cost tracking across 2,500+ models independent of trace sampling
- PII and sensitive data detection with optional redaction and hard blocks
- Prompt registry with versioning, comparison, and production label protection
- Datasets, scorers, and experiment framework with evidence-attached promotion
- Framework-agnostic design supporting dynamic agent identity and multi-agent systems
- Real-time health scores and dashboard for agent performance monitoring
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| 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
| - Only platform that enforces policies mid-execution instead of alerting after the fact
- Zero runtime overhead guardrail detection using passive span processor inspection
- Accurate cost totals at any sampling rate through OTEL metrics per LLM call
- Framework-agnostic and portable through OpenTelemetry-native SDK design
- Enterprise-grade security with SOC 2 Type II and RBAC built in
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 68 ▲ +1 (up) since last check | 24 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 18 | 6 |
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| Citation Flow (Majestic) | 47 | 31 |
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| Referring domains (Majestic) | 1378 | 159 |
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