| What it does | Open-source memory platform for AI agents
| Autonomous AI Agent Defense, Sandboxing & Zero-Leak Studio
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | DE
| Not given
|
|---|
| Pricing model | Not given
| Freemium
|
|---|
| 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.
| Community Core: Free (open-source CLI tools). Pro Individual: $15/month (includes native macOS & Windows GUI, cloud backup, priority endpoints). Team Cluster: $99/month base (for 5-50 developers). Enterprise Governance: Custom annual contract.
|
|---|
| 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
| - Native kernel sandboxing on Linux, macOS, and Windows
- Bubblewrap and Landlock on Linux
- Apple Seatbelt sandbox on macOS
- AppContainer isolation on Windows
- Real-time kernel telemetry in VS Code, Cursor, and Windsurf
- 1-click secret redaction with QuickFix
- Strict CIDR egress filtering
- Anti-exfiltration hooks for /proc and SSH keys
- Database wire proxy with virtual schema masking
- 96.7% token compaction with JIT disclosure
|
|---|
| 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
| - Zero-leak defense with OS-level kernel sandboxing across all three operating systems
- 96.7% token compaction reduces LLM context and billing costs
- 100% air-gapped offline-first architecture with zero telemetry
- Automated secret detection and redaction in real-time
- Free open-source Community Core with optional paid Pro and Enterprise tiers
|
|---|
| 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 | Not checked yet ▼ −1 (down) since last check |
|---|
| Trust Flow (Majestic) | 14 | 3 |
|---|
| Citation Flow (Majestic) | 43 | 21 |
|---|
| Referring domains (Majestic) | 1089 | 16 |
|---|