OpenClaude: Model Routing for AI Agents
Post by Avinash A. on LinkedIn (2026-09-02) — “This tool is blowing up on GitHub right now 🔥“
Summary
OpenClaude is essentially Claude Code rebuilt to run on any model provider — same terminal, same tools, same subagents — but every agent can use a different model. The core idea: don’t pick one model for everything — route work to the model best suited for it.
The Post (full text)
This tool is blowing up on GitHub right now. 🔥
OpenClaude is essentially Claude Code rebuilt to run on any model provider.
Same terminal. Same tools. Same subagents.
But now, every agent can use a different model.
And that changes how you think about AI agents.
Don’t pick one model for everything. Route the work to the model that is best suited for it.
→ Coding & terminal work: Claude or Codex — strong at long tool chains.
→ Bulk file operations & context gathering: Use whatever is cheapest and fastest, even a local model. Hundreds of reads don’t need expensive reasoning.
→ Huge documents & massive context: Gemini — this is where its million-token context window matters.
→ Code review: Use a model from a different lab than the one that wrote the code. A genuine second opinion is more valuable.
→ High-volume workloads: Run an open model locally. Once the hardware is paid for, the marginal cost per run is effectively zero.
That’s the real trick: stop paying flagship-model prices for work a cheap model can do.
OpenClaude also lets you run jobs in the background, close the terminal, check logs later, and kill jobs when something goes wrong.
It can even map your repo so agents spend fewer turns figuring out where everything lives.
The future of agentic coding may not be one model doing everything. It may be an orchestration layer routing every task to the cheapest model that can do it well.
Repo: https://lnkd.in/gEUAXXsx
Comments (8)
- Steve Mayne: “Anthropic’s lawyers will be all over this (for using the name if nothing else). I seriously hope it wasn’t derived from the Claude Code leak a few months ago… I wonder how it performs relative to OpenCode or Oh My Pi.”
- Amirkia Rafiei Oskooei: “no need for all these heavy setup. just use this Skill so your agent can route prompts or talk to any agent harness from other provider (like using Codex and Claude and OpenCode at the same time): https://github.com/amirkiarafiei/subagent-cli-skills”
- Christopher SKENE: “So you are saying it’s OpenCode?”
- Daniel Morris: “Try omp, I’ve switched to it at leat”
- boostN.ai: “Ich schaue es mir an - vllt kann ich noch etwas für meinen Adapter lernen/anpassen.”
Key Takeaways
- Model routing > one model: assign each task type to the cheapest model that handles it well (Claude/Codex for coding, cheap/local for bulk ops, Gemini for huge context, cross-lab model for code review).
- Background jobs + repo mapping included — run agents async, kill stuck jobs, reduce repo-exploration turns.
- Cost philosophy: don’t pay flagship prices for work a cheap model can do; local models → marginal cost ≈ zero.
References
- Author: Avinash A. (in.linkedin.com/in/anantharamuavinash, ~13k followers)
- Original: https://www.linkedin.com/posts/anantharamuavinash_this-tool-is-blowing-up-on-github-right-now-activity-7501055566564306944-GmhQ