| What it does | Hybrid search, graph indexing, and vector-symbolic memory for AI agents
| Your voice and skills in every AI tool you use
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| Stage | Startup
| Startup
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| Founded | 2026
| Not given
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| Based in | US
| US
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| Pricing model | Open source
| Freemium
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| Pricing | Open source under Apache-2.0 license. WARM Cloud is in development with usage-based pricing for sync, backup and verification; details to be published at launch.
| Free: 1 Profile, 10 Skills, 50 Documents, 10 Artifacts, 1 Style Guide from Starter Pack, 100 Hosted Chat AI credits/month. Pro: $24/mo or $20/mo billed annually, 5 Profiles, 75 Skills, 500 Documents, 75 Artifacts, 1 Style Guide, 1,000 Hosted Chat AI credits/month. Max: $49/mo or $40/mo billed annual
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| Key features | - Hybrid search combining BM25 lexical and vector scoring
- Vertex graph vector index with 2.29-2.75x throughput vs hnswlib
- Vector-symbolic fact memory with holographic reduced representations
- AES-256-GCM encryption at rest with Argon2id key derivation
- Signed audit log with Ed25519 and W3C DID identity
- Secure purge that overwrites deleted data with zeros
- Crash-safe append-only log with checksumming
- Native Rust API with Python HTTP client and Node.js bindings
- MCP server integration for editors and AI agents
- WARM Cloud sync, backup and verification without server access to keys or documents
| - Profiles to define voice, tone, and judgment
- Style Guides to enforce writing rules
- Knowledgebases to store trusted documents and notes
- Skills to package repeatable workflows
- Artifacts for versioned, shareable outputs
- Hosted Chat with custom runtime
- MCP integration with external tools
- Team workspaces with shared knowledge
- Skill Catalog for discovery and import
- Collections to group and present artifacts
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| What makes it different | - Runs entirely locally in your process with no network calls or telemetry
- Encryption at rest built into the open-source engine itself, not an enterprise add-on
- Significantly faster vector search than hnswlib with graph-indexed vertex retrieval
- Signed provenance and verified audit trail using C2PA, COSE and SCITT standards
- Embedded library model eliminates dependency on external services or vendor lock-in
| - Output sounds like you, not generic AI, because every tool reads the same profiles and style guides
- Stop re-uploading docs and rewriting instructions for each new tool
- Individual voice, shared standards on teams
- Built-in changelogs instead of Git for managing skills
- Works with any MCP-compatible AI client without vendor lock-in
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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 |
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| DR (Domain Rating by Ahrefs) | 26 ● no change since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 12 | 4 |
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| Citation Flow (Majestic) | 24 | 25 |
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| Referring domains (Majestic) | 56 | 27 |
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