| What it does | Agent layer for SaaS with grounded answers, sandboxed tools, and per-customer isolation
| One memory, every AI tool. Write once, recall anywhere.
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| Stage | Not given
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| Pricing model | Free
| Freemium
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| Pricing | Free during launch period. Customers pay their LLM provider directly for model usage at provider rates; Oberik does not markup or resell tokens. No credit card required, no usage meters tracked by Oberik itself.
| 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.
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| Key features | - Document-grounded answers with page and quote citations
- Linux sandbox environment for agent execution
- Per-customer cost tracking and billing
- Memory and wiki persistence across sessions
- Scheduled and recurring work with durability
- Capability-scoped JWT tokens enforced per-request
- Support for custom tools and MCP servers
- Multi-model support with bring-your-own-keys
- Server-side prompt injection and PII screening
- SSH dashboard interface for programmatic configuration
| - 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
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| What makes it different | - Hard isolation between customers with no shared state or tenant leakage
- Citations with document, page and quote provided automatically with every answer
- Only two API calls needed to integrate grounded AI into any SaaS product
- Customers never charged by Oberik; direct billing from their own LLM provider keys
| - 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
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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) | 1 ● no change since last check | 40 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 2 | 7 |
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| Citation Flow (Majestic) | 21 | 37 |
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| Referring domains (Majestic) | 19 | 200 |
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Oberik
Mnemoverse