Pricing · Capabilities · Deployment · Enterprise controls · Privacy & data policy · Integrations
These are the selected requirements where at least two candidates have reliable, distinct answers. Use them to narrow the shortlist first.
Which AI agent fits a team pull request review workflow?
Compare GitHub Copilot, Cursor Agent, and OpenAI Codex across documented review capabilities, deployment, enterprise controls, data policy, integrations, pricing, and execution evidence. The brief presents evidence and explicit gaps without an automatic recommendation.
Decision context · Engineering teams evaluating source-grounded pull request review and code-change workflows
Candidate inclusion rule
Included when the product is a maintained coding Agent with public first-party documentation for repository work and enough evidence to assess the listed decision requirements. The current cohort is GitHub Copilot and Cursor Agent and OpenAI Codex; inclusion is not a ranking or claim that no other product qualifies.
Decision-Relevant Intelligence CoverageEvidence coverage71%
15 of 21 candidate-requirement cells have current Source-Backed or Execution-Verified answers.
6visible evidence gapsGaps remain unknown; they are not treated as product failures.
Decision requirements
What matters for this choice?
Adjusting these requirements is recorded only as an aggregate demand signal.
6 differing fields
Decision shortcut
Directional evidence · 71% coveredStart with what can change the decision
This is a map of comparable evidence and unresolved questions, not a score, ranking, winner, or recommendation.
Evidence snapshot 2026-08-2815 source checksCurrent
Enterprise controls · Privacy & data policy · Integrations
These fields contain the most unresolved candidate answers. Confirm them with the provider before purchase or deployment.
GitHub Copilot3/7 requirements supported3 of 7
Cursor Agent6/7 requirements supported6 of 7
OpenAI Codex6/7 requirements supported6 of 7
requirements with supported differences
- Pricing3/3 candidates have reliable evidence across 3 documented answers.
- Capabilities3/3 candidates have reliable evidence across 3 documented answers.
- Deployment3/3 candidates have reliable evidence across 3 documented answers.
- Enterprise controls2/3 candidates have reliable evidence across 2 documented answers.
- Privacy & data policy2/3 candidates have reliable evidence across 2 documented answers.
- Integrations2/3 candidates have reliable evidence across 2 documented answers.
intelligence gaps
- Enterprise controls1 candidate answer still unknown.
- Privacy & data policy1 candidate answer still unknown.
- Integrations1 candidate answer still unknown.
execution evidence gaps
These remain unknown unless publication-approved governed execution evidence exists. Source documentation cannot close them.
Foundation Release
This comparison describes available evidence. “Unverified” means no matching accepted evidence—not that a feature is unavailable. It is not a universal ranking, score, recommendation, or purchasing decision.
Swipe horizontally to compare candidates. Candidate names remain visible while you review fields.
Agents
Pricing
GitHub publishes Free, Pro, Pro+, Business, and Enterprise Copilot plans; exact eligibility and usage limits depend on the selected plan.
Source-BackedCursor publishes Hobby, individual, team, and enterprise plan options on its current pricing page.
Source-BackedOpenAI publishes Codex plan and credit-rate information; exact access and consumption depend on the applicable plan.
Source-BackedDeployment
GitHub documents Copilot surfaces across IDE, CLI, and GitHub cloud workflows; availability can depend on account and region.
Source-BackedCursor documents IDE, CLI, and web or cloud Agent surfaces; availability can depend on account and region.
Source-BackedCodex is documented across app, IDE, CLI, and cloud surfaces; access depends on account, plan, and region.
Source-BackedCapabilities
GitHub documents coding assistance, agent mode, cloud task delegation, and code review capabilities.
Source-BackedCursor Agent can explore repositories, edit multiple files, run terminal commands, and use background agents.
Source-BackedOpenAI documents codebase analysis, multi-file implementation, code review, and command execution.
Source-BackedEnterprise controls
Unknown / Insufficient Evidence
UnverifiedIntelligence GapCursor documents SSO, SCIM provisioning, audit logs, and MDM policies with plan-dependent availability.
Source-BackedOpenAI documents workspace roles, managed runtime requirements, permissions, approvals, filesystem and network controls, MCP, hooks, and command rules.
Source-BackedPrivacy & data policy
Unknown / Insufficient Evidence
UnverifiedIntelligence GapCursor documents Privacy Mode and optional Cloud Agent data handling; model-specific retention exceptions require review.
Source-BackedOpenAI documents business-data training, encryption, and retention commitments; exact handling varies by plan, surface, connected system, and agreement.
Source-BackedIntegrations
Unknown / Insufficient Evidence
UnverifiedIntelligence GapCursor documents MCP administration, server allowlists, tool controls, and network policy controls for enterprise use.
Source-BackedOpenAI documents MCP and GitHub integration paths; each server, repository, permission, and connected account requires configuration.
Source-BackedWhat you can take away
This page can guide an initial shortlist, but not a final purchase. Agenova currently supports 15 of 21 selected cells with reliable evidence. Validate the remaining 6 gaps before purchase or deployment.
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