| What it does | Shared memory for regulated companies and their AI agents
| Governance-first security framework for autonomous AI systems
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| Stage | Not given
| Startup
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| Founded | Not given
| 2026
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| Based in | US
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| Pricing model | Freemium
| Open source
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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
| Not given
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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
| - Constitutional governance charter with 11 articles defining AI autonomy boundaries
- ATX-1 threat matrix taxonomy for agentic AI systems
- Python runtime implementation of AGP-1 for policy evaluation
- TypeScript and Python SDKs for governance integration
- Federation protocol for cross-domain AI governance
- Versioned, citable, openly licensed specifications
- Standards engagement with NIST, IEEE, and NCCoE
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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
| - Governance-first approach where policy is evaluated before action, not after
- Deterministic enforcement with transparent audit trails and non-bypassable human oversight
- Non-partisan engagement with policymakers regardless of jurisdiction or political orientation
- Human-directed with transparent AI collaboration in research and development
- Deny by default principle: anything not explicitly authorized is prohibited
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| Free plan | Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| 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 | 28 ▲ +14 (up) since last check |
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| Trust Flow (Majestic) | 9 | 0 |
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| Citation Flow (Majestic) | 26 | 22 |
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| Referring domains (Majestic) | 32 | 6 |
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Nysa
AEGIS Initiative