openclaw

openclaw / octopool

Public

A shared, org-authenticated GitHub read relay and cache.

octopool.dev cache github shared
43
2
100% credibility
Found May 29, 2026 at 49 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Octopool is a self-hosted relay that helps developer teams share GitHub API access. Instead of each person burning through their own rate limits, the team pools their GitHub accounts together behind one shared cache. When someone fetches data from a public repository, the result is cached so the next person gets it instantly. Only verified members of a specific GitHub organization can use it, and it only works with public repositories — private repos fall back to the individual user's own access. The team gets one combined pool of rate limit headroom, and sensitive credentials never leave the server.

How It Works

1
🔍 Discover the rate limit problem

A developer on a busy open-source team realizes they're constantly hitting GitHub's limits when running scripts and bots that fetch data from public repositories.

2
🗄️ Find Octopool

They discover Octopool, a shared relay that pools their team's GitHub access so everyone shares one big cache instead of burning through individual rate limits.

3
🔧 Set up the team relay

Their team admin deploys Octopool on Cloudflare, registers the team's GitHub accounts, and configures which public repositories the pool can read.

4
🔑 Sign in with GitHub

Each team member logs in using their existing GitHub account — no new passwords or accounts to remember, just a quick browser sign-in.

5
Two ways to use it
💻
Direct commands

Run octopool followed by any GitHub command like viewing pull requests or checking CI status, and it routes through the shared cache.

🔗
Automatic shim

Link the tool so it transparently intercepts all their normal GitHub commands, caching results without changing how they work.

6
⚡ Watch the cache work

The first request fetches data and fills the cache; every subsequent request for the same data comes back instantly without touching GitHub's limits.

🎉 Team moves faster

Everyone on the team can run their scripts and bots without hitting rate limits, and the admin can see exactly how much the cache is helping from a simple dashboard.

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Star Growth

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AI-Generated Review

What is octopool?

Octopool is a self-hosted GitHub read relay that pools multiple team identities behind a shared Cloudflare Worker cache. You deploy it on Cloudflare, add your org's PATs or GitHub App installations as pooled identities, and get a CLI that acts like a drop-in `gh` replacement. When your team runs `octopool gh pr view` or `octopool gh run list`, the Worker picks the identity with the most rate limit budget, caches the response in D1, and future callers get free cache hits. All your tokens live server-side as Worker secrets, never in logs or responses. If the relay falls behind or you hit an unknown route, it falls back transparently to your local `gh`.

Why is it gaining traction?

GitHub's rate limits hit maintainer teams hard. One shared GitHub account with five PATs plus a GitHub App gives you combined headroom nobody has individually. The cache means repeated reads across a team cost zero quota. The CLI shim means developers don't change their workflow at all. The public-repo guard means you can't accidentally burn a pooled identity's budget on a private repo. This is a niche tool, but it's the only one purpose-built for pooling read traffic across an entire org with a real CLI and smart fallback logic.

Who should use this?

Maintainer teams with multiple developers running repeated `gh` commands who are hitting rate limits. Open source projects with volunteer contributors who keep burning through CI quota. Any org that has already settled on Cloudflare Workers as infrastructure and wants to maximize the value of their GitHub App installation. If you're running 10 devs and all of them are calling `gh api repos/...` a dozen times a day, this pays for itself immediately.

Verdict

At 43 stars and a 1.0% credibility score, this is an early-stage project from a small team. The README is exceptionally thorough, the codebase includes test coverage and Go CLI tooling alongside TypeScript, and the architecture is clearly thought through. But you should not adopt this without someone willing to own the Cloudflare deployment and monitor the pool health. It solves a real problem for the right audience, but it requires operational buy-in that a hobby project cannot guarantee.

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