Agno vs DSPy
Side-by-side comparison with live GitHub signals. Last updated May 26, 2026.
| Metric | Agno | DSPy |
|---|---|---|
| GitHub Stars | 40.4K | 34.7K |
| Contributors | 436 | 394 |
| Last Commit | May 26, 2026 | May 26, 2026 |
| Open Issues | 932 | 514 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
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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.
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DSPy replaces prompt engineering with programming. Instead of writing prompts, you define modules with input/output signatures and DSPy automatically optimizes the prompts and weights for your pipeline. Supports chain-of-thought, retrieval-augmented generation, and multi-hop reasoning patterns. From Stanford NLP.
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