The right agent for every task. One pull request workflow for all of them.

Run Claude Code, Codex, Antigravity CLI, Mistral Vibe and OpenCode from one place. Pick the agent and model per task or per phase, on your own subscriptions or API keys, and get every result back as a GitHub pull request.

One process, multiple brains PR path intact
Task / PlanScope, context, branch
ClaudeDeep reasoning
CodexFast implementation
OpenCodeFlexible routing
One GitHub PR & LogReview, cost, follow-ups
Pick the agent per phase. ProPR keeps planning, execution, cost, and GitHub review in one record.

Agent fit and access

Claude Code

Careful judgment: architectural changes, deep refactors and high-reasoning planning.

Codex

Fast implementation and follow-ups on OpenAI's coding models.

Antigravity CLI

Gemini, Claude and GPT-OSS models behind one Google login.

Mistral Vibe

Mistral Medium and GLM models for routine reviews and implementation passes, on one Mistral account.

OpenCode

Open-source agent with free models for zero-cost passes and comparison baselines.

Which coding agent subscription should you use?

Pick the plan you already pay for, or the one whose models fit the work. Claude Code and Codex start at $20 a month; Antigravity CLI runs Gemini 3.8 Flash on a free Google account; Mistral Vibe Pro costs $14.99; OpenCode runs free models at no cost. Each agent page lists the provider’s tiers, included models and published limits, and every plan runs headless, which is how ProPR drives it on GitHub issues and pull requests.

AgentEntry planTop planDefault model in ProPRPlans and models
Claude CodeClaude Pro, $20 / monthClaude Ultra, $200 / monthClaude Opus 5.5Claude plans →
CodexChatGPT Plus, $20 / monthChatGPT Pro, $500 / monthGPT-6 AstraCodex plans →
Antigravity CLIFree Google account; Google AI Pro, $19.99 / monthGoogle AI Ultra, $199.99 / monthGemini 3.8 FlashAntigravity plans →
Mistral VibeVibe Free; Vibe Pro, $14.99 / monthVibe Team, $24.99 / user / monthMistral Medium 3.5Vibe plans →
OpenCodeFree models at $0; OpenCode Go, $10 / monthOpenCode Go Plus, $40 / monthBig PickleOpenCode plans →

Provider prices exclude taxes; API keys bill per token on every agent. Verified November 2026 against each provider’s pricing page, linked from the agent pages.

What each agent runs.

Every agent plans, implements and reviews through the same PR path, as the guide to running Claude Code and its peers on GitHub issues shows end to end. Goals, the acting step in Automations and Agent Tank capacity tracking depend on the agent.

AgentPlan / implement / reviewGoalsAutomations acting stepAgent Tank capacityDefault model
Claude CodeYesNative, with live steeringYesYesClaude Opus 5.5
CodexYesNative, with live steeringYesYesGPT-6 Astra
Antigravity CLIYesResumable conversationsNoYesGemini 3.8 Flash
Mistral VibeYesNoNoNoMistral Medium 3.5
OpenCodeYesNoNoNoBig Pickle

Switch agents mid-task and keep one audit trail.

Start with one agent for broad context, hand the tricky implementation to Claude, and send the follow-up fix to Codex. ProPR keeps one record across all of them: what was planned, which agent ran, what it cost, and what landed in GitHub.

Phase handoff One task
Plan Claude Fable 5.1
Implement Claude Opus 5.5
Review GPT-6 Astra
Fix GPT-6 Astra
Route the work by phase while the task history, cost record, branch, and pull request stay connected.
Planning models per phase: Claude Opus 5.5 analyses plan context and Claude Fable 5.1 writes the plan

Switch by phase

Pick the agent and model for each phase: planning, context analysis, implementation, review, follow-ups and repository suggestions.

The playground compares Claude Opus 5.5, GPT-6 Astra and GLM 5.3 on Mistral Vibe, three agents answering the same prompt

Compare agents on the same task

Send one request to several agent and model combinations. Compare their pull requests side by side and merge the strongest one.

One run on Claude Opus 5.5 for PR #318: 19 minutes, 2.4M tokens in, 2.4% of the Claude session and 0.6% of the weekly window, an estimated $1.42

Track the cost

Every run records which model ran, how long it took and what it cost. Agent Tank adds subscription and rate-limit visibility for Claude Code, Codex and Antigravity.

A synthetic pool: northwind-coding exposes Opus across accounts, usage based over three members, and a round-robin review rotation over two

Pool accounts behind one model

Put several agent accounts behind one virtual model. ProPR spreads runs across them by priority, round robin or remaining usage, and repositories and plans point at the pool.

A correction typed into the running goal, with the model for the next continuation

Hand off a goal

Goals run on Claude Code and Codex with live steering, and on Antigravity through resumable conversations that take your corrections between steps.

Adding an agent: log in to a new provider account, or use the existing login in ~/.claude

Bring your own plan

Each agent runs on your provider subscription or API key. You pay the provider directly; ProPR never marks up tokens.

Let your assistant delegate to ProPR.

ProPR bundles its Operator Agent Skill for Codex, Claude, Antigravity and OpenCode. Once a human files or triages the issue, your assistant delegates the work through GitHub and ProPR. Humans keep every permission.

One issue. Two agent runs. Two pull requests.

In August 2026, Issue #1879 reported that propr setup with a custom GitHub App stalled on protected health checks before login. ProPR ran it through Codex with GPT-5.6 Sol and Claude Code with Claude Opus 4.8. Each run returned its own branch, summary and pull request, and both merged.

CodexGPT-5.6 Sol, August 2026integry/propr #1888
GitHub pull request 1888 from issue 1879, showing the GPT-5.6 Sol implementation summary for the custom GitHub App setup fix.
Claude CodeClaude Opus 4.8, August 2026integry/propr #1901
GitHub pull request 1901 from issue 1879, showing the Claude Opus 4.8 implementation summary for the custom GitHub App setup fix.

Bring a chat client to the agent workflow.

With MCP, a chat client requests work from your ProPR instance, and your coding agents run it on your infrastructure.

See how ProPR fits into the landscape.

Compare the shared PR workflow with hosted agent UIs, AI IDEs and direct CLI tools.

Compare ProPR against the alternatives →