| What it does | One memory, every AI tool. Write once, recall anywhere.
| Hybrid search, graph indexing, and vector-symbolic memory for AI agents
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| Stage | Not given
| Startup
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| Founded | Not given
| 2026
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| Based in | Not given
| US
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| Pricing model | Freemium
| Open source
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| Pricing | Free: $0 with 1,000 queries/day, 10,000 atoms, 60 req/min. Pro: $29/mo with 50,000 queries/day, 500,000 atoms, 600 req/min. Team: $149/mo with 500,000 queries/day, 5,000,000 atoms, 3,000 req/min. Enterprise: Custom limits and 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.
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| Key features | - Persistent cross-tool memory API working with Claude, Cursor, VS Code, ChatGPT, Python, and any HTTP client
- Hebbian associations that strengthen links between concepts recalled together
- Outcome feedback that re-ranks recall based on usefulness
- Automatic query expansion along learned associations
- Python SDK with typed errors for write, read, feedback, and stats
- REST API for any HTTP client
- Per-tenant org isolation and SHA-256 hashed API keys
| - 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
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| What makes it different | - Learns from outcomes and improves over time, unlike vector databases that only perform similarity search
- Works across every AI tool with a single API key, not locked to one platform
- Complementary to RAG: remembers outcomes and lessons, not just document similarity
- Free tier with full API access and MCP server, no credit card required
| - 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
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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
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 40 ▼ −1 (down) since last check | 26 ● no change since last check |
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| Trust Flow (Majestic) | 7 | 12 |
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| Citation Flow (Majestic) | 37 | 24 |
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| Referring domains (Majestic) | 200 | 56 |
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Mnemoverse
warm-rust