Agno vs Langflow
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. Langflow suits teams needing open-source access, visual builder focus, and 153,543 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 | Langflow |
|---|---|---|
| GitHub Stars | 41.8K | 153.5K |
| Contributors | 444 | 351 |
| Last Commit | Aug 22, 2026 | Aug 22, 2026 |
| Open Issues | 1276 | 968 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| 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 has a larger visible contributor base (444 vs 351).
- • Agno is the cleaner fit if you specifically need Agent Framework workflows from the catalog tags.
Choose Langflow if you need
- • Langflow is the stronger pick when Visual Builder matters because that capability is listed only on its profile.
- • Langflow shows broader GitHub adoption with 153,543 stars versus 41,830 for Agno.
- • Langflow is the cleaner fit if you specifically need Visual Builder workflows from the catalog tags.
Meaningful differences
- • GitHub adoption: Agno shows 41,830 stars versus 153,543 for Langflow.
- • Contributor count: Agno lists 444 contributors and Langflow lists 351.
Shared capabilities
- • Python
- • Multi Agent
- • Rag
- • Open Source
Shared Tags
Only in Agno
Only in Langflow
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 Langflow
Langflow is a visual framework for building multi-agent and RAG applications. Its drag-and-drop interface lets you create complex agent workflows without code, while still allowing Python customization. Supports all major LLM providers, vector stores, and tools. Export flows as APIs with one click. The most popular visual agent builder.
View full listing