DeepYard

Agno vs Haystack

Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.

Direct Answer

Agno suits teams needing open-source access, teams focus, and 41,830 GitHub stars in current listing data. Haystack suits teams needing open-source access, pipelines focus, and 26,274 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
A

Agno

Build, run, and manage agentic software at scale with 38K+ stars

OSSFree
41.8Ktoday444
Visit GitHub
H

Haystack

End-to-end LLM framework for building NLP and agent pipelines — 18K+ stars

OSSFree
26.3K600.0K/wtoday415
Visit GitHub
MetricAgnoHaystack
GitHub Stars41.8K26.3K
Contributors444415
Last CommitAug 22, 2026Aug 22, 2026
Open Issues127695
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Choose Agno if you need

  • • Agno is the stronger pick when Teams matters because that capability is listed only on its profile.
  • • Agno shows broader GitHub adoption with 41,830 stars versus 26,274 for Haystack.
  • • Agno has a larger visible contributor base (444 vs 415).

Choose Haystack if you need

  • • Haystack is the stronger pick when Pipelines matters because that capability is listed only on its profile.
  • • Haystack is the cleaner fit if you specifically need Pipelines workflows from the catalog tags.

Meaningful differences

  • • GitHub adoption: Agno shows 41,830 stars versus 26,274 for Haystack.
  • • Contributor count: Agno lists 444 contributors and Haystack lists 415.

Shared capabilities

  • • Python
  • • Rag
  • • Open Source
  • • Agents

Shared Tags

pythonragopen-source

Only in Agno

agent-frameworkfastapimulti-agentorchestrationtool-usememoryself-hosted

Only in Haystack

pipelinesagentsnlpproduction

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.

Source links

Manifest content date: 2026-08-21

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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About Haystack

Haystack by deepset is a Python framework for building production-ready LLM applications, RAG pipelines, and AI agents. It provides a composable pipeline architecture where components (retrievers, generators, rankers, agents) connect through a directed graph. Haystack supports all major LLM providers and vector databases, with strong emphasis on evaluation, testing, and production deployment.

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