Docyrus AI Agent Framework

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