| What it does | Agent memory that learns from experience
| AI model of your product's business logic accessible to people and AI agents
|
|---|
| Stage | Startup
| Not given
|
|---|
| Founded | 2024
| Not given
|
|---|
| Based in | US
| GB
|
|---|
| 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
| Free: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49
|
|---|
| 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
| - Builds features, rules and customer paths and keeps them current with every push
- Shows what each commit changed in the business logic, not only in the code
- Provides change impact analysis before merge showing what could break
- Checks PRDs and specifications against the product
- Delivers understanding to AI agents over MCP
- Runs locally on your machine with GMM Local
- Finds risky patterns and problems in the product
- Enterprise deployment inside your security boundary
- Integrates with Claude Code, Cursor, Codex and VS Code
- MCP access for agents with 1-10 credits per answer
|
|---|
| 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
| - Nearly 3× fewer errors on Benchmark 001 compared to alternatives
- 8.4K tokens per question instead of 27.4K for competitors
- Results published and measurable; method is proprietary
- Reduces AI cost per completed agent action from $0.35 to $0.08
|
|---|
| Free plan | Not given
| Not given
|
|---|
| Open source | Not given
| Not given
|
|---|
| Platforms | Not given
| Not given
|
|---|
| Public API | Not given
| Not given
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 68 ▲ +1 (up) since last check | 27 ● no change since last check |
|---|
| Trust Flow (Majestic) | 18 | 3 |
|---|
| Citation Flow (Majestic) | 47 | 28 |
|---|
| Referring domains (Majestic) | 1378 | 50 |
|---|
Vectorize
GitMir