Local-First Coding Agents: A Buyer's Guide

When "local-first" is the right call

You should consider a local-first coding agent when at least one of these is true:

• Your code cannot leave your machine.
• You want predictable costs instead of per-token billing.
• You have a capable GPU and want to amortize hardware cost.
• You are experimenting with open-source models and agent loops.

Local-first is not about rejecting the cloud entirely. It is about controlling where the model runs.

The candidates

Agent	Runtime	Cost	Best for	Hardware
Cline	Local IDE extension	Free + model cost	VS Code users who want BYOK	Any, GPU optional
Aider	Local terminal	Free + model cost	Git-native multi-file editing	Any, GPU optional
OpenHands	Local Docker / cloud	Free + model cost	Research, complex tasks	Strong GPU helps
Zed	Local editor	Free editor + model cost	Fast, collaborative coding	macOS/Linux
Claude Code	Local CLI, cloud model	Paid per use	Deep reasoning, large diffs	Any
Cursor	Local IDE, cloud model	Subscription	Fast in-editor experience	Any

Key distinctions

Cline vs Aider

Both are open-source and run locally. The difference is workflow.

• Cline lives inside VS Code. It can read files, run terminal commands, and automate browser testing. Best if you already work in VS Code and want an agent panel.
• Aider lives in your terminal and is deeply git-aware. It creates commits, handles multi-file edits, and supports "architect" and "editor" model modes. Best if you live in git and want a pair programmer that respects your branch.

OpenHands

OpenHands is the most research-oriented of the group. It runs in a Docker sandbox, uses LiteLLM for model routing, and is designed for tasks that need multi-step planning. It is also the heaviest to set up. Use it when you want to experiment with agent architectures, not just get autocomplete.

Zed

Zed is a new editor, not a plugin. It is GPU-accelerated, multiplayer, and has first-class AI agent support. If you are willing to switch editors, Zed is the fastest experience. If you are tied to VS Code or JetBrains, it is not a fit.

Claude Code and Cursor

These are not fully local — the model runs in the cloud — but the agent harness runs locally. They belong in this comparison because they let you keep your code local while using a frontier model. The trade-off is cost and data egress. Claude Code is terminal-first; Cursor is editor-first.

Decision flow

Do you use VS Code?
├─ Yes → Start with Cline
└─ No → Do you want terminal/git-native?
    ├─ Yes → Aider
    └─ No → Willing to switch editors?
        ├─ Yes → Zed
        └─ No → Want a sandboxed research agent?
            ├─ Yes → OpenHands
            └─ No → Use a cloud-model harness (Claude Code / Cursor)

Recommended first setup

If you have no agent yet, the cheapest way to test local-first is:

1. Install Ollama.
2. Pull qwen3.5:9b or gemma4:9b.
3. Install Cline in VS Code.
4. Point Cline at http://localhost:11434 and pick your model.

Total cost: zero, except your electricity bill.

When to move to cloud

Local models are slower and smaller. Move to a cloud model when:

• You need reasoning across very large diffs.
• The agent repeatedly fails tasks the cloud model handles easily.
• Latency matters more than cost or privacy.

The good news: Cline, Aider, and Zed all accept cloud API keys. You can start local and swap in a frontier model for harder tasks without changing your workflow.

Verdict

For most builders, the right answer is not one agent. It is a stack:

• Cline or Aider as the daily driver.
• Ollama as the local model backend.
• Claude Code or Cursor reserved for tasks that outrun your local hardware.

Start with the free, local option. Upgrade selectively.