| What it does | The confidential agentic stack for defense, finance, and regulated teams
| Open-source memory platform for AI agents
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| Stage | Not given
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| Founded | Not given
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| Based in | US
| DE
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| Pricing model | Freemium
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| Pricing | Pay as you go: from $20 prepaid credits, provider cost plus 10% markup, $25 increments. Team: $1,200/seat/year (5-seat minimum). Enterprise Sovereign: $2,400/seat/year. Sovereign Government: custom pricing. Blackbit add-on: $4,999/named operator/month (2-operator minimum).
| Free: $0/month with 1M tokens and 1 workspace (no card required). Standard: $1.00 per 1M tokens plus $5 per additional workspace. Enterprise: contact for pricing with bring-your-own-cloud deployment. Open-source engine available free to self-host.
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| Key features | - Confidential AI IDE (CDE) for secure coding assistance with protected repositories and terminals
- Confidential LLM Gateway with access to hundreds of models through governed interface
- Hardware-protected sandboxed environments for code and agent execution
- Cryptographic attestation and audit trails for workload verification
- Agents SDK for private agent execution with controlled tool access
- Support for private, restricted, and air-gapped deployments
- Trusted Execution Environment (TEE) models on sovereign infrastructure
- SSO and RBAC for enterprise access control
- Blackbit autonomous security agent for agentic cyber tasks
| - Unified vector search, knowledge graphs, and relational storage
- Automatic knowledge graph generation from data sources
- Multi-tenant support with isolated workspaces
- Data source integrations (Slack, Notion, Google Drive, GitHub, etc.)
- Self-improving memory that learns from use
- Multiple deployment options (cloud, self-hosted, air-gapped)
- Agent framework integrations (LangGraph, CrewAI, OpenAI SDK, MCP)
- Support for multiple vector and graph databases
- GDPR compliance and encryption at rest and in transit
- Built-in graph visualization of company brain
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| What makes it different | - Hardware-backed isolation and attestation replacing traditional policy-based security
- Zero-retention model ensuring code stays within protected environments
- Verifiable execution with audit trails for compliance and security verification
- Flexible deployment from self-serve credits to sovereign air-gapped environments
| - Combines vectors with graph relationships and generated data models for connected context retrieval
- State of the art performance on BEAM benchmark (79% vs 73.4% at 100k tokens)
- Keeps memory costs flat as data grows compared to baseline LLM approaches
- Fully open-source with no database lock-in
- Updates memory as source data changes, not just static snapshots
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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) | 28 ● no change since last check | 70 ● no change since last check |
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| Trust Flow (Majestic) | 19 | 14 |
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| Citation Flow (Majestic) | 32 | 43 |
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| Referring domains (Majestic) | 300 | 1089 |
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Orgn