| What it does | Shared memory for regulated companies and their AI agents
| Memory that reasons
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| Stage | Not given
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| Founded | Not given
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| Based in | US
| US
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| Pricing model | Freemium
| Freemium
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| Pricing | Team plan: $10/person/month with 14-day free trial, includes meeting recording, email and calendar enrichment, knowledge organized by topic, private scopes and projects, agent keys with custom permissions, import existing brain, and MCP for all agents. Enterprise plan: custom pricing for regulated a
| Free plan at $0 USD; Pro plan at $5 USD per month.
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| Key features | - Records and transcribes meetings with visible participant
- Automatically extracts facts from email and calendar
- Scoped access control with automatic sorting
- Private projects limited to members
- Agent API keys with read-only or read-write permissions
- Works with Claude, ChatGPT, Cursor, Codex over MCP
- Import existing brain from markdown, Obsidian, or GBrain
- Facts organized by topic with full history
- Raw email stays private to owner, team sees extracted facts only
- 180 days of email history imported on day one
| - Entity-graph spreading activation for cross-vocabulary retrieval
- Works with any LLM model
- No LLM or GPU in retrieval path
- Point-in-time and windowed recall
- Timestamped memories
- Fixed recall cost as memory grows
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| What makes it different | - Every fact is scoped automatically by sensitivity level and agents see only what their teammate can access
- Agents can write back to the same brain over MCP, updating shared knowledge in real time
- CASA Tier 2 security assessed and verified by Google for Gmail and Calendar access
- Onboard entire team in under 5 minutes with one-click Google sign-in
- Data never used to train AI models, privacy verified in policy
| - Reaches answers across unrelated documents that share no keywords, where vector search scores zero
- Deterministic retrieval with no model in the path, so results never vary between queries
- Constant per-query cost regardless of memory size, even at 32,000 words
- No infrastructure to run—no vector database, cluster, or GPU needed
- Works with any model, so small local models gain the most from better retrieval
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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) | 2 ▼ −1 (down) since last check | 4 ● no change since last check |
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| Trust Flow (Majestic) | 9 | 2 |
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| Citation Flow (Majestic) | 26 | 21 |
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| Referring domains (Majestic) | 32 | 34 |
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Nysa