{
 "schema_version": 1,
 "generated": "2026-10-31",
 "id": "l-forster-open-jet--plan-with-codex-and-code-locally-with-openjet-slipstream",
 "repo": "L-Forster/open-jet",
 "repo_url": "https://github.com/L-Forster/open-jet",
 "repo_slug": "l-forster-open-jet",
 "title": "Let Codex plan while a local model does the edits (Slipstream)",
 "page_title": "How to let Codex plan while a local model does the edits (Slipstream) with Open Jet",
 "summary": "Connect your ChatGPT Codex subscription or OpenRouter as the planner and let OpenJet's local model do the work.",
 "who": "A developer who wants frontier-model planning but hits plan limits on long coding sessions.",
 "problem": "Frontier models burn through quotas when they read the whole repo and run every test themselves.",
 "outcome": "A frontier model that plans and reviews while the local model edits files and runs tests, using about 20% of the tokens.",
 "steps": [
  "Install and set up OpenJet with `pipx install open-jet` and `openjet setup`",
  "Inside OpenJet run /connect openai-codex (or /connect openrouter)",
  "Switch with /mode to Slipstream",
  "Give it a task; the local model reads the repo, edits files and runs tests",
  "Review the frontier model's review of the local model's conclusions"
 ],
 "agent_prompt": "Set up L-Forster/open-jet in Slipstream mode with my Codex subscription as planner and the local model as worker, then do <task> in <repo> and report tokens used by the planner.",
 "agents": [
  "codex"
 ],
 "difficulty": "Intermediate",
 "time": "30 minutes",
 "basis": "readme",
 "caveat": "This card is written from the L-Forster/open-jet README, not from a test run by Deduped. Before you start, make sure you have Linux with an NVIDIA RTX 30, 40 or 50 GPU with 24 GB+ and CUDA 12+ for the megakernel. Check the repo for newer instructions before you rely on these steps.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "python",
 "requirements": [
  "Linux with an NVIDIA RTX 30, 40 or 50 GPU with 24 GB+ and CUDA 12+ for the megakernel; other hardware uses llama.cpp",
  "Recommended: 14 GB+ VRAM or Apple silicon with 24 GB+; CPU-only works",
  "pipx"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/l-forster-open-jet/plan-with-codex-and-code-locally-with-openjet-slipstream/",
 "md": "https://dedupedai.com/use-cases/l-forster-open-jet/plan-with-codex-and-code-locally-with-openjet-slipstream/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/l-forster-open-jet--plan-with-codex-and-code-locally-with-openjet-slipstream.json",
 "api_version": "v1"
}