graphify / compare / cursor-vs-codex

Aligned decision fields, official evidence and explicit unknowns. Rows where the two products genuinely diverge are highlighted — toggle to see only those.

Decision fieldCursorOpenAI Codex
Form factor Standalone AI-first IDE (VS Code fork), plus CLI and web agents.evidence: official docs Cloud agent + CLI + IDE extension; tasks run in isolated sandboxes.evidence: official docs
Primary workflow Editor-centric: you steer edits inline, agent mode for larger tasks. Delegation-centric: assign tasks, review diffs/PRs when done.
Repo-scale context Codebase indexing with embeddings; @-mentions for precise scoping. Full repo cloned into the sandbox; agent explores with shell tools.
Parallel work Background agents; one primary editing session at a time. Many cloud tasks in parallel, each in its own container.
MCP support Yes — client-side MCP config per project or global.evidence: official docs Yes — MCP servers usable by the agent in supported surfaces.evidence: official docs
Model choice Multi-vendor model picker (Anthropic, OpenAI, Google, xAI, in-house). OpenAI models only, tuned for agentic coding.
Where code runs Locally in your editor; optional cloud for background agents. Remote sandbox by default; CLI can run locally.
Git & PR flow Commits from the editor; agents can open PRs. Branch + PR per task is the default output artifact.
Pricing shape Seat subscription with usage tiers on top.evidence: pricing page Included with ChatGPT plans, usage-limited by tier.evidence: pricing page
Enterprise controls SSO/SCIM, privacy mode, admin analytics on business plans. Workspace controls, data-retention options on enterprise plans.
Offline / air-gapped use Unknown — no official statement reviewed. Unknown — no official statement reviewed.
Fine-grained data retention Partially documented; verify for your plan tier. Partially documented; verify for your plan tier.

Reviewed 2026-08. Fields marked unknown had no verifiable official source at review time — treat vendor claims elsewhere with care.

Whichever you choose,
give it the graph

Both clients speak MCP — which means both can query your Graphify knowledge graph.