A Codex alternative that keeps your ChatGPT plan and adds every other model

Codex vs octomind

How to switch from Codex

1. 1

   Install octomind and keep your ChatGPT plan

   One script installs the binary to ~/.local/bin on macOS or Linux. octomind login chatgpt signs in with ChatGPT and lists the models your plan offers. Use chatgpt:<model> as the main model, or export a key for any other provider. The verify-gate and compression have their own model slots: set [supervisor.model] and [compression.model] too, or run octomind login for OctoHub.

   curl -fsSL https://octomind.run/install.sh | bash
   
   octomind login chatgpt                 # GPT on the ChatGPT plan you already pay for
   octomind run developer:general -m chatgpt:<model>
   
   # or any other provider with your own key
   export DEEPSEEK_API_KEY=sk-...          # or OPENAI_API_KEY, ANTHROPIC_API_KEY, ZAI_API_KEY
   octomind run developer:general -m deepseek:deepseek-flash

2. 2

   Bring AGENTS.md and your MCP servers

   AGENTS.md in the project root works as it is; start octomind there. Octomind does not read ~/.codex/AGENTS.md or nested AGENTS.md files, so move the lines you need into the root file. Each [mcp_servers.<name>] table in ~/.codex/config.toml becomes a [[mcp.servers]] block with the same command and args, or the same url. Save it as a .toml file in ~/.local/share/octomind/config/; every .toml file there is merged.

   # was in ~/.codex/config.toml:
   # [mcp_servers.playwright]
   # command = "npx"
   # args = ["@playwright/mcp@latest"]
   
   # ~/.local/share/octomind/config/mcp-codex.toml
   [[mcp.servers]]
   name = "playwright"
   type = "stdio"
   command = "npx"
   args = ["@playwright/mcp@latest"]
   timeout_seconds = 30
   tools = []
   auto_bind = ["developer:general"]

3. 3

   Replace codex exec, with a spend stop

   Pipe the task in and pick an output format; jsonl prints one event per line like codex exec --json. -c caps each request in US dollars, and a run that hits the cap exits with 75, so your script can tell a budget stop from a failure. Add --sandbox to keep writes inside the working directory.

   cd ~/your/project
   echo "The test suite fails. Find the bug, fix it, run the tests." \
     | octomind -c max_request_spending_threshold=0.50 \
         run developer:general -m openai:gpt-5.6-sol --sandbox --format plain
   echo "exit $?"                                    # 75 = spend stop

Other options worth a look

• Claude Code↗

  For Anthropic models in a terminal, IDE or desktop app, on a Claude subscription or an Anthropic Console account. In the same benchmark it solved 23 of 25 on claude-opus-5 for $81.79.

• opencode↗

  An MIT-licensed terminal agent with a full TUI, 75+ providers through Models.dev and ChatGPT Plus/Pro sign-in. It suits you if you want a polished interface on many models.

• Aider↗

  A terminal pair programmer that works with almost any model, local ones included, and commits every change to git. We have not benchmarked it.

Where Codex is better

• No sandbox by default and no approval prompts

  Codex starts inside an OS sandbox with network off and asks before leaving the workspace. Octomind runs tools without asking. --sandbox is opt-in, limits writes only, and does nothing on Windows. Policy is deny rules in .agents/guardrails.toml. Read more →

• Slower and dearer per run in our benchmark

  Codex finished the 25 tasks in 1.0h for $14.86. Octomind took 3.6h and $63.43 on an uncached open model. If your tests catch misses anyway, Codex is the cheaper loop. Read more →

• No IDE extension, desktop app or cloud tasks

  Codex ships an extension for VS Code and compatible editors, JetBrains and Xcode integrations, a desktop app and cloud tasks. Octomind is a terminal prompt; editors reach it over ACP, and the docs show a Zed config. Read more →

• Only one AGENTS.md is read

  Codex merges AGENTS.md from ~/.codex and every folder from the project root down. Octomind reads the one in the directory you start in, so per-folder instructions need folding into the root file.

• A much smaller community

  openai/codex had about 130,000 GitHub stars in October 2026, with OpenAI behind it. You will find fewer tutorials and answered questions for octomind. Read more →

Questions

More comparisons

• Claude Code alternative The same terminal agent loop on any model, open ones included, under Apache-2.0.
• OpenClaw alternative A personal agent you self-host as one binary, or hand to octos on Cloud
• opencode alternative Same open model as opencode: 24 of 25 tasks solved to its 19, at about half the cost.
• Hermes Agent alternative Lessons only from your corrections, as plain files you can edit, on your box or on Cloud
• Claude Cowork alternative Hand off the job once or daily, on any model; the result lands in Telegram, Slack or email
• Manus alternative Sourced reports and live pages from a cloud machine, on one balance that stops
• Cursor alternative The agent without the editor: any model, your own keys, open source, next to any IDE.
• GitHub Copilot alternative The open-source agent for terminal and CI, on any model, billed by your own provider.
• Antigravity alternative An open-source terminal agent for Gemini, Claude or local models, no Google sign-in.
• DeepSeek Harness alternative DeepSeek models in a terminal and CI agent with tagged releases and a spend stop.

Reading

• Codex vs Claude Code on the same 25 real PRs
• Octomind vs OpenAI Codex
• Coding agent benchmark on real pull requests