| What it does | Open-source memory platform for AI agents
| Human authority infrastructure for autonomous AI
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| Stage | Not given
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| Founded | Not given
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| Based in | DE
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| Pricing model | Not given
| Freemium
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| Pricing | 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.
| Free: $0 per month with 2 connections, 1 agent, 500 protected actions per month. Developer: $99/month with 25,000 billable executions included, then $0.001 per billable execution with $500 default overage cap. Business: Contact Sales for paid pilots and enterprise contracts.
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| Key features | - 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
| - Cryptographically signed receipts and verifiable evidence
- Multi-party approval for organizational authority
- Open-source SDK, MCP server, and framework adapters
- Authority lifecycle management from grant to revocation
- Supported integrations with payments and cloud accounts
- Individual, family, business, and enterprise deployment options
- Enforcement at tool execution boundaries
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| What makes it different | - 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
| - Write-once signed decisions verifiable by auditors without trusting the vendor
- Controls sit at the point where AI systems take consequential actions
- One company integrating security and compliance disciplines
- Open-source cores and published research allow vendor review
- Human authority never transferred to the agent
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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) | 70 ● no change since last check | 3 ● no change since last check |
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| Trust Flow (Majestic) | 14 | 0 |
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| Citation Flow (Majestic) | 43 | 26 |
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| Referring domains (Majestic) | 1089 | 18 |
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Guardian