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AI Tool Comparison

Agno vs Letta

A side-by-side breakdown to help you pick the right tool for your workflow.

Review Score assesses product quality; Fit Score is specific to a use case. Limited reviews do not establish overall product quality. How reviews work.

Agno logo

Agno

Build multi-modal agents in plain Python: text, image, audio, and video inputs handled natively. Agno's tool library and memory system handle the infrastructure.

Agents
free
Not yet reviewedVisit site Tool details →
Letta logo

Letta

Build agents that actually remember: facts, preferences, and past interactions persist across every session without manual context management.

Agents
freemium
Not yet reviewedVisit site Tool details →

Bottom Line

Catalog updated: August 2026

Agno and Letta both compete in Agents, overlapping most directly on coding. Agno runs on a fully free plan while Letta runs on a freemium model, which alone may settle it if budget or a free tier is a hard requirement.

Choose Agno if…

Best for python developers building agents that need to reason over images, audio, and video, not just text, and its edge is multi-modal by default, no special handling required for non-text inputs, unlike most agent frameworks. A genuinely readable, Pythonic way to build multi-modal agents, there's no TypeScript SDK if that's your stack. Lean toward Letta instead if manages its own memory tiers and decides what to retain or summarize, more reliable than an ad-hoc RAG memory hack matters more for your use case.

Choose Letta if…

Best for developers building agents that need to remember and update facts across arbitrarily long interaction histories, and its edge is manages its own memory tiers and decides what to retain or summarize, more reliable than an ad-hoc RAG memory hack. A genuinely more solid approach to agent memory than manual context management, per-step cloud pricing adds up for memory-heavy agents. Lean toward Agno instead if multi-modal by default, no special handling required for non-text inputs, unlike most agent frameworks matters more for your use case.

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AttributeAgnoLetta
CategoryAgentsAgents
Pricingfreefreemium
Pricing DetailOpen source / Free (AgentOS)Open source / Free (Letta Cloud from $0.02/step)
TWF Review ScoreNot yet reviewedNot yet reviewed

Key Features

Agno

  • Multi-modal agents with native text, image, audio, and video reasoning
  • Plain Python class definitions, no framework-specific DSL
  • 30+ built-in tools: web search, SQL, file ops, APIs
  • Pluggable memory backends including PostgreSQL, MongoDB, and SQLite
  • Agent Teams for orchestrating multiple specialized sub-agents
  • Structured output support via Pydantic models

Letta

  • Three-tier memory architecture: working, recall, and archival
  • Self-directed memory management: agents decide what to store
  • Cross-session persistence with no manual prompt engineering
  • REST API and Python SDK for embedding agents in applications
  • Agent builder UI for configuring memory and persona
  • Open-source core with managed Letta Cloud option

Pros

Agno

  • •Multi-modal by default: no special handling for image or audio inputs
  • •Pythonic API makes agents readable to anyone who knows Python
  • •Built-in tool library means less boilerplate for common tasks

Letta

  • •Solves long-term memory without external memory databases or prompting tricks
  • •Open-source core means full control over data and deployment
  • •Framework-level memory is more reliable than ad-hoc RAG approaches

Cons

Agno

  • Python-only: no TypeScript SDK unlike some competitors
  • Cloud observability platform is still early-stage
  • Less community content than LangChain or CrewAI at the same maturity

Letta

  • Memory management adds latency compared to stateless agents
  • Cloud pricing is per-step, complex agents with many memory reads get expensive
  • Steeper learning curve than simpler stateless frameworks

Explore Tool Details

Agno Details →Letta Details →

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