Agno vs Dify
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Agno suits teams needing open-source access, agents focus, and 41,830 GitHub stars in current listing data. Dify suits teams needing freemium free tier, typescript focus, and 153,166 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.
What this comparison weighs
- Pricing and free-tier availability
- License model and deployment fit
- GitHub adoption and contributor depth
- Catalog tags, integrations, and supported workflows
| Metric | Agno | Dify |
|---|---|---|
| GitHub Stars | 41.8K | 153.2K |
| Contributors | 444 | 457 |
| Last Commit | Aug 22, 2026 | Aug 22, 2026 |
| Open Issues | 1276 | 953 |
| License | open-source | open-source |
| Pricing | open-source | freemium |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Choose Agno if you need
- • Agno is the stronger pick when Agents matters because that capability is listed only on its profile.
- • Agno is the cleaner fit if you specifically need Agent Framework workflows from the catalog tags.
Choose Dify if you need
- • Dify stands out for Typescript workflows that are not listed for Agno.
- • Dify is the stronger pick when Agentic Workflow matters because that capability is listed only on its profile.
- • Dify shows broader GitHub adoption with 153,166 stars versus 41,830 for Agno.
Meaningful differences
- • Pricing model: Agno is listed as open-source, while Dify is listed as freemium.
- • Workflow emphasis: Agno highlights Python, while Dify highlights Typescript.
- • GitHub adoption: Agno shows 41,830 stars versus 153,166 for Dify.
- • Contributor count: Agno lists 444 contributors and Dify lists 457.
Shared capabilities
- • Multi Agent
- • Rag
- • Open Source
- • Self Hosted
Shared Tags
Only in Agno
Only in Dify
Limitations and evidence
- • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
- • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
- • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.
About Agno
Agno is a full-stack platform for agentic software comprising three layers: a Python framework for building agents and teams with memory, knowledge, and 100+ tool integrations; a production-ready FastAPI runtime with 50+ APIs, horizontal scaling, native tracing, and human-in-the-loop approval workflows; and AgentOS, a control plane UI for monitoring and managing deployed agents. Supports per-user and per-session isolation, role-based access control, guardrails, evaluations, and immutable audit trails. All data stays in your database — no vendor lock-in.
View full listingAbout Dify
Dify is an open-source LLM app development platform that combines agentic AI workflow, RAG pipeline, agent capabilities, model management, and observability features. It lets you go from prototype to production quickly with a visual canvas for building complex AI workflows. Supports 100+ model providers and can be self-hosted or used via cloud.
View full listing