| What it does | Hosted shared memory for AI assistants
| Managed Apache Iceberg tables and hosted agents for AI to work with data
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| Stage | Not given
| Startup
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| Founded | Not given
| 2026
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| Based in | Not given
| ES
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| Pricing model | Freemium
| Freemium
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| Pricing | Free: Personal memory up to 1,000 records with no time limit. Pro: $5 per month or $50 per year for unlimited personal memory. Team: $10 per month plus $5 per member per month for shared memory and collaboration.
| Storage €0.10 per GB-month (5 GB free monthly), Compute €0.12 per CPU-hour (10 CPU-hours free monthly), AI tokens €2.50 per million (5 million free monthly). No request, ingress or egress fees.
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| Key features | - Personal and team memory
- MCP server with OAuth 2.1 or token authentication
- Search by words and by meaning
- Record provenance and version history
- Conflict detection and resolution
- JSON export and import
- Project-based organization with hierarchical grouping
- Urgent inbox for team notifications
- Role-based access control for teams
- Works with Claude, ChatGPT, ZCode, Grok and other MCP clients
| - Managed Apache Iceberg tables with automatic maintenance and backups
- Multiple data ingestion methods including files, APIs, webhooks, and scheduled URLs
- Query with DuckDB, Spark, Trino, Polars, or PyIceberg
- Public data catalogs served over a CDN
- Automatic spatial clustering for geometry tables
- FTP, FTPS and SFTP support for file uploads from cameras and devices
- Corporate sign-in and granular access control for organizations
- Audit trail and activity log for organizational use
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| What makes it different | - One memory accessible from any AI assistant without re-explanation or chat copying
- Separate personal and team memory layers with no automatic sharing
- Records show full history and cannot be silently erased or replaced
- Search by meaning finds relevant records even with different wording
| - Open table format: Apache Iceberg ensures your data remains portable and readable by any compatible engine
- Agents keep what they observe, decide and do as persistent tables for learning across runs
- Operated in Europe with data storage in Frankfurt and model inference in Paris
- Pay only for what you use with no request, ingress or egress fees
- Serverless platform with no servers or clusters to manage
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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
| Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 1 ▼ −1 (down) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 1 | 2 |
| Citation Flow (Majestic) | 13 | 26 |
| Referring domains (Majestic) | 6 | 32 |