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Julep vs Agno

JulepAgno

Bottom line: Julep for data and ML teams; Agno for python teams building agents.

JulepJulep

Serverless platform for durable, composable AI agents and workflows

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AgnoAgno

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

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Votes00
PricingFreemiumFreemium
CategoryAgent FrameworksAgent Frameworks
Tags
serverlessdurable-workflowsai-agentstemporalopen-source
multi-agentpythonagentopsragopen-source
Best for
  • Data and ML teams
  • Agent developers
  • Backend engineers
  • Python teams building agents
  • Teams wanting predictable flat pricing
  • Multi-agent system builders
Pros
  • Durable flows that crash and resume
  • Safe retries and step-by-step explainability
  • Explicit tool-access control for safety
  • Serverless: no infrastructure to manage
  • Temporal-based reliable execution engine
  • 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
Cons
  • Declarative YAML has a learning curve
  • Best suited to technical data/ML teams
  • Julep 3 still in release-candidate stage
  • Temporal-based model adds conceptual overhead
  • Not aimed at non-developers
  • 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

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