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Agno vs Haystack

AgnoHaystack

Bottom line: Agno for python teams building agents; Haystack for teams building production RAG and search.

AgnoAgno

High-performance Python framework for building multi-agent systems and AgentOS

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HaystackHaystack

deepset's composable open-source framework for RAG and agent pipelines.

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Votes00
PricingFreemiumFreemium
CategoryAgent FrameworksAgent Frameworks
Tags
multi-agentpythonagentopsragopen-source
ragllm-frameworkopen-sourcesearchpipelines
Best for
  • Python teams building agents
  • Teams wanting predictable flat pricing
  • Multi-agent system builders
  • Teams building production RAG and search
  • Enterprises wanting self-hostable NLP pipelines
  • Developers who prefer explicit, typed pipelines
Pros
  • Performance-focused, Python-first design
  • Full local control plane free of charge
  • Flat pricing with no token or egress fees
  • Built-in knowledge, memory, and evals
  • Model-agnostic across major providers
  • Composable, typed pipeline model is clear and flexible
  • Apache-2.0 core, free to self-host with no lock-in
  • Strong retrieval and search heritage
  • Broad integrations with model and vector stores
  • Built-in evaluation tooling
Cons
  • Python-only framework
  • Pro plan starts relatively high at $150/month
  • Additional connections and seats add up
  • Rebrand from Phidata may cause some confusion
  • Ecosystem younger than the largest frameworks
  • Engineering framework, not a turnkey app
  • Managed deepset pricing is largely quote-based
  • 2.x rewrite means older 1.x tutorials are outdated
  • Skews toward retrieval more than general agents
  • Requires pipeline-design comfort

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