AI Agent FrameworkProduction-grade orchestration

Build AI agentsthat run daily operations

Connect tools, orchestrate workflows, and deploy governed agents that take care of repetitive work for your team.

input
New Lead Inquiry

Automatically qualify new inbound leads from email or forms.

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LinkedIn logoLinkedIn profiles
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action
Scoring & Categorization

Using AI logic, the lead is scored based on size, industry, and engagement.

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Response

The agent have prepared a tailored response.

Answer

Lead status, notes, and follow-up are logged in the CRM, ready for the sales team.

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Built for teams that ship.

Not just a chat API. A full agent runtime with memory, tools, orchestration, and enterprise security built in.

The complete AI agent platform.

Docyrus agents can reason across steps, call real-world tools, delegate to sub-agents, and pause for human approval - all under a single governance model.

Team planning AI agent workflows on a whiteboard

No-Code Simplicity

Empower business users to build and modify agents without writing code. Drag, drop, and deploy specialized agents.

Enterprise Security

Built-in multi-tenancy, Row Level Security (RLS), and API key management keep your data safe and compliant.

Model Agnostic

Switch seamlessly between OpenAI, Anthropic, Google, and Groq to optimize for cost and specific performance needs.

Beyond Simple Chat

Orchestrate multi-step reasoning, real-world actions, and deep technical integrations.

Multi-Agent Teams

Create supervisor agents that intelligently delegate tasks to specialized sub-agents. Workflows where agents review and iterate on each other's work.

Enterprise RAG

Link PDFs, docs, and datasets. Agents cite exactly where they found their answers.

Real-world Actions

From searching the web to executing SQL and sending emails. Your agents actually DO things.

Precision Control

Set temperature, top-p, and system prompts per agent. Define exactly which tools they can access and when they need human approval.

How teams launch reliable agents

Move from connected data to production-ready agents with a workflow built around security, testing, and controlled rollout.

  • Connect

    Link your databases, documents, and APIs securely with RAG.

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    Day 1

  • Design

    Select models, write system prompts, and build visual workflows.

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    Day 1–2

  • Test

    Run extensive simulations to verify reasoning and tool usage.

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    Day 2–3

  • Deploy

    Publish as a custom assistant, API endpoint, or background worker.

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    Day 3+

Standardized Access

Connect to Anything with MCP

The Docyrus Framework natively supports the Model Context Protocol (MCP), allowing you to drop in pre-built connectors for hundreds of tools and data sources.

Pre-built Connectors Slack, GitHub, Linear, Notion, Postgres, and Google Drive work out of the box. Drop in any MCP-compatible connector without writing custom integration code.

Secure Gateway Every MCP call is routed through a governed gateway. Tool access is scoped per agent, logged, and auditable - no unconstrained API calls.

Frequently asked questions about AI Agent Framework

What does AI Agent Framework do?+

AI Agent Framework is the orchestration layer for creating, coordinating, and running AI assistants on Docyrus.

When should teams use AI Agent Framework?+

Teams should use it when agents need to work with tools, data, skills, and guardrails inside repeatable business workflows.

How does AI Agent Framework work with the rest of Docyrus?+

It connects to Docyrus data, permissions, automations, and product surfaces so agents operate inside the broader platform instead of outside it.

Who is AI Agent Framework for?+

It is built for platform teams, operations teams, and product teams that need production-grade agents.

Build your AI Workforce

Join hundreds of teams using Docyrus to automate complex business processes with safe, reliable, and governed AI agents.