| What it does | Open-source memory platform for AI agents
| Content authorization for AI agents
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | DE
| Not given
|
|---|
| Pricing model | Not given
| Not given
|
|---|
| 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.
| Local: free with CLI, SDK, local proxy, and MCP wrapper. Founding Team: $499 per month after a 30-day pilot, including guided setup, hosted approvals, team dashboard, verified ledger sync, and direct support.
|
|---|
| 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
| - Exact payload binding and hash verification
- Policy engine with Cedar and Rego support
- Local enforcement proxy and CLI
- Hosted approvals dashboard and team coordination
- Verifiable action ledger with audit trail
- Model Context Protocol wrapper
- Support for GitHub, Slack, Linear, Jira and cloud platforms
- Runtime integration with Anthropic, OpenAI and Cursor
- Credential-free playground and examples
- ActionPass signed authorization artifact
|
|---|
| 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
| - Payload approval bound to exact hash, not summary—changes after approval are automatically rejected
- Local enforcement with credential-free operation before team coordination layer
- 30-day pilot model with no long-term commitment required
- Open-source ActionPass artifact and verifier for transparency
- Adapter-side verification prevents tool execution after payload tampering
|
|---|
| 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) | 70 ● no change since last check | 1 ● no change since last check |
| Trust Flow (Majestic) | 14 | 0 |
| Citation Flow (Majestic) | 43 | 28 |
| Referring domains (Majestic) | 1089 | 61 |