| What it does | Agent layer for SaaS with grounded answers, sandboxed tools, and per-customer isolation
| The open-source database and workspace for AI agents
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| Stage | Not given
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| Pricing model | Free
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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 (1 space, 3 seats, 5,000 records, 1 GB storage). Plus: $10/seat/month ($120/year, 2 months free) for 3 spaces, 10 seats, 20 GB storage. Pro: $20/seat/month ($240/year, 2 months free) for unlimited spaces, unlimited seats, 100 GB storage.
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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
| - Open source MIT license - run locally, self-host on server, or use cloud
- Support for multiple agents via REST API, MCP, Agent Skills, and OpenAPI
- Human review and approval workflow for agent changes
- Structured data tables with fixed columns for agents and people to share
- Docs and knowledge base with verified sources
- Reusable agent skills and playbooks
- Apps and views built on shared data structures
- Role-based permissions and access controls
- Offline support on desktop with no usage tracking
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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
| - Only AI agent workspace that keeps complete history and requires human approval before changes enter canonical data
- Unified workspace where agents and people access the same data, avoiding scattered chat logs
- Completely self-hosted and private on your own hardware with full control over data
- Works with any agent that calls REST API - no lock-in to specific model or platform
- Rejects never enter canonical data - all decisions remain attached for auditability
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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 |
| DR (Domain Rating by Ahrefs) | 1 ● no change since last check | 17 ▼ −1 (down) since last check |
| Trust Flow (Majestic) | 2 | 6 |
| Citation Flow (Majestic) | 21 | 32 |
| Referring domains (Majestic) | 19 | 143 |