Agent Governance Toolkit and Dify are both agent frameworks tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.
Open-source LLM app development platform combining AI workflow, RAG pipeline, agent capabilities, model management, observability features and more.
Attribute
Agent Governance Toolkit
Dify
Pricing
Free
Paid
Free trial
No
No
Open source
No
No
Has API
Yes
Yes
Self-hosted option
Yes
Yes
Platforms
Available in Python, TypeScript, Rust, Go, and .NET
Docker, Kubernetes, Linux, macOS, Windows
Languages
Python, TypeScript, Rust, Go, and .NET
English, Mandarin Chinese, and community translations
Released
2026-04-02
2023
Pros
First toolkit to address all 10 OWASP agentic AI risks with deterministic, sub-millisecond policy enforcement
Framework-agnostic from day one, hooks into framework native extension points so adding governance does not require rewriting agent code
Available across language ecosystems with TypeScript SDK through npm and .NET SDK through NuGet
Structured as monorepo with independently installable packages allowing incremental adoption
Ships with 9,500+ tests and includes SLSA-compatible provenance, OpenSSF Scorecard tracking, CodeQL scanning, and Dependabot dependency monitoring
Comprehensive all-in-one platform covering workflows, RAG, agents, and observability
Visual drag-and-drop interface accessible to non-technical users
Extensive LLM support including proprietary and open-source models
Self-hosted option with Docker/Kubernetes deployment
Backend-as-a-Service with built-in APIs for all applications
Cons
Provides application-level governance, not OS kernel-level isolation; policy engine and agents run in same process, so production recommendation is to run each agent in separate container
Toolkit is currently in public preview and may have breaking changes before GA
Real-world production adoption evidence still limited (announced April 2026)
