| What it does | Production infrastructure for AI applications with observability, governance, and multi-model support
| Knowledge infrastructure for agents and teams
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| Stage | Not given
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| Based in | Not given
| US
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| Pricing model | Not given
| Freemium
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| Pricing | Personal $15/month (25,000 credits); Starter $25/month (50,000 credits); Team $75/month (100,000 credits); Pro $375/month (500,000 credits). Additional credits available at $0.10 per 1,000 credits.
| Free plan with 200 credits per month for public repositories and core features; Pro plan at $16/month ($192 billed annually) with 4000 credits per month and private repository support; Enterprise plan with custom pricing and credits as needed
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| Key features | - Step-level observability with traces showing status, latency, credits, and governance for every step
- Natural-language governance policies with flag and block thresholds
- Model portability: swap 200+ models at any time without code changes
- Automatic content ingestion and vector database indexing for RAG
- Persistent memory banks for conversation context
- Cost tracking per model, agent, and step with credit-based pricing
- Structured output validation ensuring quality responses
- HTTP endpoints for every agent with SDKs for Python, JavaScript, Go, and C#
- ML-based prompt scanner blocking injection attacks in real time
- Evaluation framework with evals that run locally, in CI, and in production
| - Connect agents with MCP Server for automatic documentation capture
- Self-documenting pull requests
- Sync existing documentation from Notion, Confluence, Coda, or repositories
- Generate documentation on demand
- Custom documentation templates
- Shared knowledge layer for team-wide agent learning
- Integration with Slack and MS Teams for context requests
- Analytics dashboards and observability
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| What makes it different | - All production LLM features unified in one runtime with no orchestration stack to assemble
- Local development environment matches production exactly for debugging and verification
- Swap between 200+ models without changing code or workflow logic
- Governance and compliance built-in with real-time prompt injection blocking and policy evaluation
- Transparent credit-based pricing where all operations consume predictable, tracked credits
| - Reduces agent token consumption by 50% through shared knowledge caching
- Automatically maintains up-to-date documentation as code changes
- Knowledge stays in human-readable Markdown format and is portable
- Improves agent consistency across runs with shared knowledge layer
- SOC 2 Type II certified for enterprise security compliance
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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) | 8 ▼ −1 (down) since last check | 66 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 16 |
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| Citation Flow (Majestic) | 20 | 37 |
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| Referring domains (Majestic) | 22 | 432 |
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Seclai
Dosu