AI pair-programmer
exployt vs GitHub Copilot
GitHub Copilot is an AI pair-programmer inside your IDE, plus a cloud agent that can take an issue and open a pull request. It assists a developer who is still doing the work.
Different goals
Let one person run a self-managing team of AI agents that ship whole features and projects — on their own machine.
Assist developers inside their editor and automate individual issues in the cloud.
What you can expect with exployt
- Hand off whole features to a team of agents instead of prompting one assistant.
- Keep your code and history on your machine, not in a vendor's cloud.
- Use many providers (including free local models) with no lock-in to one billing platform.
- Cut AI costs by up to 70% and keep full, searchable visibility over everything.
exployt vs GitHub Copilot — side by side
| What matters | exployt | GitHub Copilot |
|---|---|---|
| Built for | One person running an AI team | A developer assisted while they code |
| How you work | Agents build, test and debug whole features | You code; the assistant suggests and helps |
| Where your code lives | On your machine (local DB; only metadata syncs) | In your editor, but context is sent to the cloud; the coding agent runs in the cloud |
| AI managers running the team | Yes — AI managers (CPO/CTO/PM) run the team | Not a documented feature |
| AI agents in parallel | 100+ agents in parallel across your projects | IDE agent plus one cloud agent |
| Free local / offline models | Yes (Ollama) | No — cloud models only |
| Vendor lock-in | None — bring your own keys, any provider | Tied to GitHub/Microsoft billing |
| Dynamic, AI-built workflows | Yes | No |
| Persistent searchable memory | Persistent, searchable (keyword + meaning) local memory | Repository context; limited memory |
| Full activity transparency | Every change, decision and agent message recorded locally and searchable | Limited |
| AI cost control | Up to 70% lower AI costs; bring your own keys or run free local models | Usage-based AI credits |
| IDE integration and adoption | Windows desktop app | Deep, across VS Code, JetBrains and more; huge adoption |
| Pricing | Free for individuals; affordable plans | Free; Pro $10/mo; Business $19/user/mo |
Why exployt wins
- A self-managing team of agents that ships whole features — versus an assistant that helps you code.
- Local-first storage and free local models, with no lock-in to one vendor's cloud or billing.
- Full, searchable transparency over every change, decision and agent message, plus up to 70% lower AI costs.
Where GitHub Copilot is strong
- Deep, polished integration across VS Code, Visual Studio, JetBrains and more.
- Huge adoption and very mature code completions.
- A cheap entry point ($10/mo) alongside enterprise-grade options.
The verdict
Copilot is a superb assistant inside your editor. exployt is an autonomous team you lead: many providers (including local), agents that manage each other, local-first storage, full transparency and built-in cost control.
Frequently asked questions
Is exployt a good GitHub Copilot alternative?
For autonomous, multi-agent work, yes. Copilot assists you inside your editor; exployt runs a team of agents that plan, build, test and debug across many providers, with your code kept local.
Does GitHub Copilot run locally?
Copilot sends prompts and context to the cloud, and its coding agent runs in the cloud. exployt keeps your code and history on your machine and can use free local models via Ollama.
Can Copilot use free local models?
No — Copilot uses cloud models. exployt supports local Ollama models plus hundreds of models via OpenRouter and direct provider connections.
Ready to lead your AI army?
exployt exists to make one person as powerful as a whole company: run many well-organized AI agents in parallel to build, test and debug production-grade software — all on your own machine, with your choice of AI models.