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Letta vs Ollama

LettaOllama

Bottom line: Letta for teams that need persistent agent memory; Ollama for developers wanting local, private LLMs.

LettaLetta

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

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OllamaOllama

Run open LLMs locally with a single command.

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Votes00
PricingFreemiumFreemium
CategoryCodingCoding
Tags
agentsmemoryopen-sourcestateful-agentsllm-framework
local-llmopen-sourceprivacyself-hosteddeveloper-tools
Best for
  • Teams that need persistent agent memory
  • Builders of long-running assistants
  • Researchers exploring stateful agents
  • Developers wanting local, private LLMs
  • Privacy-conscious teams
  • Offline and on-device use cases
Pros
  • 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
  • Free and open source
  • Extremely simple to install and use
  • Runs fully offline with no per-token fees
  • Local OpenAI-compatible API for easy integration
  • Cross-platform (macOS, Windows, Linux)
Cons
  • 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
  • Performance bounded by local hardware
  • Largest frontier models need the paid cloud
  • No built-in team collaboration features
  • Quality depends on chosen model and quantization
  • Local setup still requires adequate RAM and GPU

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