Docyrus AI Agent Framework
Governed Docyrus platform for building, orchestrating, and deploying tool-using multi-agent workflows.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Docyrus AI Agent Framework, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.
Overview
Docyrus AI Agent Framework is the orchestration layer for creating, coordinating, and running AI assistants on the Docyrus platform. It is designed for production-grade workflows where assistants need memory, tools, data access, guardrails, and governed execution rather than simple chat. The official page describes no-code agent building, multi-agent delegation, human approval pauses, enterprise RAG with citations, model selection across providers such as OpenAI, Anthropic, Google, and Groq, and real-world actions such as web search, SQL execution, email sending, CRM logging, reporting, and data synchronization. It also supports deployment as a custom assistant, API endpoint, or background worker, and includes enterprise security features such as multi-tenancy, row-level security, API key management, scoped tool access, logging, and auditable MCP gateway calls. Use cases highlighted by Docyrus include lead qualification, meeting preparation, follow-ups, data sync, reporting, and content drafting. Pricing is tied to the Docyrus platform; the official site references free deployment with infrastructure-based usage, so this listing uses a freemium pricing model.
Key features
- orchestration
- multi-agent workflows
- rag
- mcp
- workflow automation
- no-code builder
- enterprise security
- tool calling
- human approval
- model agnostic
Use cases
- Building governed assistants for repeatable business workflows
- Orchestrating multi-step workflows with tools, data, and approvals
- Creating supervisor and specialist multi-agent teams
- Connecting agents to documents, databases, APIs, and MCP-compatible tools
- Deploying assistants as internal apps, API endpoints, or background workers
- Automating lead qualification, follow-ups, reporting, and data synchronization