| What it does | Production infrastructure for AI applications with observability, governance, and multi-model support
| Open-source, self-hostable platform for building and governing AI agents across multiple channels
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| Stage | Not given
| Startup
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| Founded | Not given
| 2025
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| Based in | Not given
| IN
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| Pricing model | Not given
| Open source
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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 to run, fork and build on commercially under Business Source License 1.1; paid hosted plans from $0 to $79 USD
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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
| - Human approval workflows
- Multi-channel support (WhatsApp, email, voice, web)
- Retrieval and graph memory
- Guardrails and governance with budgets
- Browser automation
- Role-based access control
- OpenAPI and Swagger tool import
- Agent skill learning
- Sealed audit log
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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
| - Runs on laptop, server, or Kubernetes—same images everywhere from release
- Complete governance embedded in platform and SDKs with approval, budgets, audit
- Open standards: MCP, A2A, AG-UI, OpenTelemetry, OIDC, OpenAPI
- Business Source License allows commercial use and forking
- Console in 22 Indian languages
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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) | 11 ▲ +2 (up) since last check | 8 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 6 | 0 |
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| Citation Flow (Majestic) | 20 | 11 |
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| Referring domains (Majestic) | 22 | 2 |
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Seclai
VegaDūta