Agno vs LiteLLM
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. LiteLLM suits teams needing open-source access, api gateway focus, and 56,974 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 | LiteLLM |
|---|---|---|
| GitHub Stars | 41.8K | 57.0K |
| Contributors | 444 | 376 |
| Last Commit | Aug 22, 2026 | Aug 22, 2026 |
| Open Issues | 1276 | 4989 |
| 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 376).
- • Agno is the cleaner fit if you specifically need Agent Framework workflows from the catalog tags.
Choose LiteLLM if you need
- • LiteLLM is the stronger pick when Api Gateway matters because that capability is listed only on its profile.
- • LiteLLM shows broader GitHub adoption with 56,974 stars versus 41,830 for Agno.
- • LiteLLM is the cleaner fit if you specifically need Api Gateway workflows from the catalog tags.
Meaningful differences
- • GitHub adoption: Agno shows 41,830 stars versus 56,974 for LiteLLM.
- • Contributor count: Agno lists 444 contributors and LiteLLM lists 376.
Shared capabilities
- • Python
- • Open Source
Shared Tags
Only in Agno
Only in LiteLLM
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 LiteLLM
LiteLLM provides a unified OpenAI-compatible API for 200+ LLM providers (OpenAI, Anthropic, Google, Azure, AWS Bedrock, Ollama, and more). Use one interface to call any model, with built-in load balancing, fallbacks, spend tracking, and rate limiting. Essential infrastructure for multi-model agent systems.
View full listing