VDF AI Agents

VDF AI Agents is an agent builder providing reusable skills, governed tools, and connected enterprise knowledge sources.

VDF AI Agents is an enterprise AI platform that lets teams build, operate, and govern autonomous AI agents in a secure workspace. Users can design agents through a five-step configuration process covering basics, model selection, tools and skills, system prompts, and review. The platform connects LLMs and SLMs from providers like OpenAI, Anthropic, Azure OpenAI, Mistral, and Ollama, and integrates with systems such as Slack, Jira, GitHub, GitBook, Confluence, and Notion. It features an MCP-powered tool registry, voice dictation in all languages, dynamic fallback agents, and RAG-powered semantic memory. Designed for engineers, data teams, security professionals, and operations staff, it supports role-based access control, EU data residency, and on-premise deployment.

VDF AI Agents at a glance

Best for: Software engineer, Product manager
Runs on: Web, self-hosted, API
Pricing: Managed cloud plans and annual on-seat licensing bundles with unlimited interactive use per seat; specific list prices are available on request.
Released: October 2026
Category: AI agent tool
Website: vdf.ai

Key features

5-step agent builder checklist
MCP-powered tool registry
Connected knowledge bases and databases
Immutable audit logs
Voice dictation in all languages
Role-based access control
On-premise and cloud deployment

Use it for

Draft user stories and summarize meeting transcripts
Search GitHub and Jira semantically
Write technical documentation
Analyze velocity patterns and backlog items

Alternatives to VDF AI Agents

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MS-Agent — It supports multimodal inputs, autonomous scheduling, and modular tool integration.
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