| What it does | Your COO and team of AI agents for startup DevOps
| 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 | Not given
| Open source
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| Pricing | Grant Free: $0/month with one project and monthly check-ins. Grant Pro: $49/month ($40/month billed yearly, 2 months free) with daily check-ins across five projects. Grant Studio: $149/month ($124/month billed yearly, 2 months free) with check-ins every six hours across fifteen projects.
| 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 | - AI-powered DevOps team with specialized agents for CI, costs, runtime, security and dependencies
- Draft pull requests for supported dependency and compatibility fixes
- Multi-channel access via Slack, dashboard, or MCP client
- AWS cost tracking with forecasting and budget variance analysis
- Security findings aggregation from GitHub and AWS Security Hub
- World State monitoring for API changes and dependency updates
- Decision tracking and follow-up management
- Executive reporting and one-pagers on Studio and Enterprise
- Agent security testing for prompt injection and AI risks
| - 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 | - Complete AI DevOps team as a service, eliminating need to hire
- Nothing merges or deploys without human approval and review
- Specialized AI agents that each own specific operational domains
- Evidence-based findings with citations from your actual sources
- Works with your existing tools: GitHub, AWS, Slack, and your own AI providers
| - 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
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 6 ▲ +1 (up) since last check | 26 ● no change since last check |
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| Trust Flow (Majestic) | 17 | 12 |
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| Citation Flow (Majestic) | 21 | 24 |
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| Referring domains (Majestic) | 27 | 56 |
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Since.dev
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