LettavsOpenAI Codex

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Letta

AI Agent Frameworks

Build stateful AI agents with long-term memory

OpenAI Codex

Coding Assistants

Featured

OpenAI coding and knowledge-work agent for CLI, IDE, app, web, and cloud workflows

FeatureLettaOpenAI Codex
CategoryAI Agent FrameworksCoding Assistants
PricingFree (open-source) + CloudIncluded with ChatGPT Plus, Pro, Business, Enterprise, and Edu; limited-time Free/Go access; additional credits available
GitHub Stars
13k
More stars
85k
PlatformsLinux, macOS, DockermacOS, Windows, Linux, Web
Key Features
  • Long-term memory
  • Stateful agents
  • Tool use
  • Multi-model
  • Self-editing memory
  • Terminal coding agent
  • IDE extension
  • Web and desktop app
  • Multi-agent workflows
  • Cloud environments and worktrees
  • PR review
  • Skills for repeatable workflows
  • Background Automations
  • Sandboxing and approvals
  • MCP, tool use, and agent-native logs
Pros
  • + Solves long-term memory problem
  • + Self-editing memory
  • + Stateful agents
  • + Multi-model support
  • + Active research backing
  • + Official OpenAI coding and knowledge-work agent
  • + Works across CLI, IDE, web, desktop, and cloud surfaces
  • + Open-source CLI under Apache-2.0
  • + Skills make repeatable team workflows easier to package
  • + Automations support scheduled background work with review queues
  • + Sandboxing, approvals, network policy, and logs support safer team rollout
Cons
  • Complex memory management
  • Performance overhead
  • Rebranding confusion
  • Still experimental
  • Usage limits vary by ChatGPT plan
  • Free and Go access is limited-time according to OpenAI
  • Cloud and ChatGPT surfaces are proprietary
  • Autonomous code and workflow changes still require review
  • Advanced workspace controls and compliance logs depend on eligible plans
Tags
memorystatefulagentsopen-source
codingagenticcliideopenaichatgptmulti-agentskillsautomationssandboxingknowledge-work

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