AEGIS Initiative vs Exabase
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
AEGIS Initiative compared with Exabase
| Detail | 
AEGIS Initiative | 
Exabase |
|---|
| What it does | Governance-first security framework for autonomous AI systems
| Context infrastructure for AI agents
|
|---|
| Stage | Startup
| Startup
|
|---|
| Founded | 2026
| Not given
|
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| Based in | Not given
| GB
|
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| Pricing model | Open source
| Freemium
|
|---|
| Pricing | Not given
| Not given
|
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| Key features | - 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
| - Memory system with self-managing advanced memory
- Isolated per-tenant instances with version rollback
- Portable context server with files, notes and links
- Sub-document multi-modal hybrid search
- Structured data extraction from PDFs, websites and images
- Autonomous agents for knowledge base automation
- 99.9% uptime SLA
- AES-256 encryption at rest and SSL in transit
- TypeScript SDK and REST API
- Model-agnostic and framework-agnostic
|
|---|
| What makes it different | - 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
| - Cut token spend by up to 81% through persistent agent memory instead of full context window stuffing
- State-of-the-art on two leading AI memory benchmarks
- Full-stack data layer eliminating need for multiple services
- Production-tested at scale powering Fabric platform
- Self-improving memory that tracks relationships and resolves contradictions
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| Free plan | Not given
| 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 |
|---|
| DR (Domain Rating by Ahrefs) | 28 ▲ +14 (up) since last check | 29 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 11 |
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| Citation Flow (Majestic) | 22 | 32 |
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| Referring domains (Majestic) | 6 | 122 |
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5 details filled in for both companies.
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