| What it does | Hybrid search, graph indexing, and vector-symbolic memory for AI agents
| An engine for long-running agents that rebuilds its prompt under a cap and runs on your budget
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| Stage | Startup
| MVP
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| Founded | 2026
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| Based in | 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.
| Prototype: free during beta, then from December 16, 2026 it costs $1 per 1,000 agent calls after 1,000 monthly included calls. Production: $20 a month with 20,000 agent calls included, then $1 per 1,000 calls after that. Top-ups: $1 per 1,000 calls, from $10 to $500 at a time, never expiring.
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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
| - Prompt rebuilt from journal under token cap at each step to keep it bounded as history grows
- Spending limits checked before each model call at token prices you declare
- Resume after crash without repeating finished actions
- Tool calls returned as actions for your code to carry out
- Proof of what ran: check prompts, re-run engine, download hash-chained journal
- Integrations with Vercel AI SDK, OpenAI Agents SDK, LangGraph, Mastra, Pydantic AI
- MCP server for Claude Code, Claude Projects and Codex
- Works with any model via bring-your-own-key
- TypeScript and Python clients for HTTP API access
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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
| - Bounded prompt under a fixed cap while history grows, so costs per call stop climbing on long sessions
- Every run recorded with cryptographic proof: rebuilable prompts, hash-chained journal, re-runnable engine
- Resumes from crash without repeating finished actions using stable idempotency keys
- Budget enforcement before each model call, not reactive overage billing
- No model key storage or logging; your provider bills you directly
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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) | 26 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 12 | 0 |
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| Citation Flow (Majestic) | 24 | 9 |
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| Referring domains (Majestic) | 56 | 4 |
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