| What it does | AI Agent Control Plane: Observability & Governance
| Long-term memory for AI agents that organizes itself and corrects itself
|
|---|
| Stage | Not given
| MVP
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | IN
| SE
|
|---|
| Pricing model | Freemium
| Free
|
|---|
| Pricing | 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.
| Personal: Free during early access. Unlimited memories, all agents with separate memories, no card required. Enterprise: On request, set up by the team for departmental organization with cross-department sharing and direct support.
|
|---|
| Key features | - 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
| - Self-correcting memory that updates when facts change
- Historical memory queries with time-based retrieval
- Automatic topic organization and hierarchy
- Separate memory for each agent with controlled sharing
- Multi-agent support via MCP, REST API, or LangGraph
- AES-256 encryption at rest and in backups
- OAuth 2.1 authentication and API key management
- Data export and deletion capabilities
- 37 MCP tools with automated verification on every code change
|
|---|
| What makes it different | - 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
| - Understands what changed, when it was true, and where it belongs - beyond vector database similarity
- Never contradicts itself by automatically replacing outdated facts
- Fully GDPR aligned with built-in privacy by design
- Two-minute integration with Claude, ChatGPT, Cursor and any MCP client
- Data stays in Europe on AWS eu-north-1 and never used for model training
|
|---|
| 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) | 24 ▼ −1 (down) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 6 | 0 |
| Citation Flow (Majestic) | 31 | 0 |
| Referring domains (Majestic) | 159 | 0 |