Skip to main content
Tgtoolglade.
Side-by-side
Browse all comparisons →

Agno vs Letta

AgnoLetta

Bottom line: Agno for python teams building agents; Letta for teams that need persistent agent memory.

AgnoAgno

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

Visit
LettaLetta

Stateful AI agents with long-term memory (formerly MemGPT).

Visit
Votes00
PricingFreemiumFreemium
CategoryAgent FrameworksAgent Frameworks
Tags
multi-agentpythonagentopsragopen-source
agentsmemoryopen-sourcestateful-agentsllm-framework
Best for
  • Python teams building agents
  • Teams wanting predictable flat pricing
  • Multi-agent system builders
  • Teams that need persistent agent memory
  • Builders of long-running assistants
  • Researchers exploring stateful agents
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
  • Purpose-built for the agent memory problem
  • Strong research pedigree (MemGPT paper)
  • OS-style tiered memory persists across sessions
  • Open-source core, free to self-host
  • Managed Letta Cloud with free and paid tiers
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
  • Narrower than general agent frameworks
  • Often used alongside other tooling, not a full stack
  • Renamed from MemGPT, some older docs use old name
  • Cloud pricing and tiers still evolving
  • Python-focused

Comparison generated from each tool's listing. Add or remove tools above to change it.