OpenBST

OpenBST / a2a

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Cursor-Agent-Bridge | ​Enables Cursor Agents to invoke and consult multiple LLMs (like Claude, GPT-4o, DeepSeek) via a bridge .exe, overcoming single-model limitations.

12
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100% credibility
Found May 03, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

a2a is a self-contained tool that lets Cursor AI agents consult multiple language models in parallel, saving raw responses for review and synthesis.

How It Works

1
🔍 Discover a2a

You hear about a2a, a handy helper that lets your AI friend in Cursor ask questions to a team of smart AIs at once and gather their thoughts.

2
📥 Get the tool

Download the single ready-to-use file and double-click it to start – it checks your setup and adds itself where you can easily find it again.

3
🛠️ Set up in your project

Run it in your work folder to add special instructions that teach your main AI when and how to use this team of thinkers.

4
🔑 Connect your AI passes

Enter your private passes for different AI services so a2a can reach out to them safely, naming each one for easy reference.

5
📝 Write your question

Create a simple note with your question and any files you want the team to review, like code or docs.

6
🚀 Ask the team

Tell a2a to consult specific thinkers on your question – it gathers their full answers in a neat folder for you to see.

Smarter decisions

Your main AI reviews all the opinions, spots agreements and differences, and gives you the best combined insight.

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Star Growth

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AI-Generated Review

What is a2a?

a2a is a Rust CLI tool that lets Cursor agents query multiple LLMs—like Claude Opus, GPT-5, or Gemini—in parallel from a single prompt, saving raw markdown answers for side-by-side review. It bridges Cursor's single-model limits by distributing questions across profiles (API keys) with automatic failover on auth failures or quotas. Run `a2a ask cache-design --models opus,gpt5 --profiles personal,team` to kick off consultations, with outputs landing in timestamped dirs under `consultations/`.

Why is it gaining traction?

Unlike basic API wrappers, a2a bundles everything into a single self-contained binary—no TOML configs, just SQLite for creds and baked-in Cursor skills/rules/prompts installed via `a2a init`. Profile chains auto-delete dead keys mid-run, and it integrates seamlessly with Cursor chats for agent-driven setup (`a2a_guide`). Devs dig the raw audit trail and one-click PATH install, making multi-model "think tanks" dead simple without quota roulette.

Who should use this?

Cursor power users doing code reviews, architecture debates, or complex debugging where one model's blind spots hurt. Backend devs chaining Opus for planning with GPT-5 for execution, or teams rotating API keys across personal/team accounts. Skip if you're not deep in Cursor's agent workflow or prefer raw OpenAI/Claude calls.

Verdict

Grab it if you're all-in on Cursor—early v0.1.0 delivers on the a2a protocol promise with MIT/Apache licensing, but 11 stars and 1.0% credibility scream "test in a side project first." Docs shine via bilingual guides and GitHub samples; maturity lags, so watch for profile export and Unix polish.

(198 words)

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