OpenAI CodexvsLetta

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

OpenAI Codex

Coding Assistants

Featured

OpenAI coding agent for CLI, IDE, web, desktop, and cloud workflows

Full review →Website ↗

Letta

AI Agent Frameworks

Build stateful AI agents with long-term memory

Full review →Website ↗
FeatureOpenAI CodexLetta
CategoryCoding AssistantsAI Agent Frameworks
PricingIncluded with eligible ChatGPT plans; additional credits availableFree (open-source) + Cloud
GitHub Stars
✓ More stars
85k
13k
PlatformsmacOS, Windows, Linux, WebLinux, macOS, Docker
Key Features
  • ✓ Terminal coding agent
  • ✓ IDE extension
  • ✓ Web and desktop app
  • ✓ Multi-agent workflows
  • ✓ Cloud environments
  • ✓ Worktrees
  • ✓ PR review
  • ✓ MCP and tool use
  • ✓ Long-term memory
  • ✓ Stateful agents
  • ✓ Tool use
  • ✓ Multi-model
  • ✓ Self-editing memory
Pros
  • + Official OpenAI coding agent
  • + Works across CLI, IDE, web, desktop, and cloud
  • + Open-source CLI under Apache-2.0
  • + Strong fit for parallel agent workflows
  • + Designed for end-to-end software tasks and PR review
  • + Solves long-term memory problem
  • + Self-editing memory
  • + Stateful agents
  • + Multi-model support
  • + Active research backing
Cons
  • − Usage limits vary by ChatGPT plan
  • − Cloud and ChatGPT surfaces are proprietary
  • − Autonomous code changes still require review
  • − Team controls depend on workspace plan
  • − Complex memory management
  • − Performance overhead
  • − Rebranding confusion
  • − Still experimental
Tags
codingagenticcliideopenaichatgptmulti-agent
memorystatefulagentsopen-source

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