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Agents tracked: 157 Downloads (7d): 216M up 9.6% GitHub stars: 4.2M VS Code installs: 145M Releases (7d): 233 Agent pull requests (last week): 940K Updated Oct 6, 2026

Local AI coding agents

Coding agents you can point at a model on your own computer, so prompts and code can stay on your machine and there is no per-token bill.

By weekly package downloads, the leaders are OpenAI Codex (25.6M), Pi (5.2M), mini-SWE-agent (3.4M). By VS Code extension installs, the leaders are GitHub Copilot (78.6M), OpenAI Codex (15.2M), Cline (5.5M). By GitHub stars, the leaders are OpenCode (212K), OpenAI Codex (128K), Pi (113K). The fastest grower over the last 30 days is Pi, with downloads up 52%. As of Oct 6, 2026.

# Agent Category Pulse Downloads 7d 7d 30d VS Code installs Stars Latest release Price Last 90 days
1 Terminal 82 25.6M up 5.7% up 21.2% 15.2M 128K+153/day 0.160.1yesterday Free + $8/mo
5
PiEarendil Inc. (created by Mario Zechner)
Terminal 75 5.2M up 29.8% up 52.1% — 113K+378/day 1.0.4yesterday Free (OSS)
7
OpenCodeAnomaly (SST team)
Terminal 73 3.3M up 22.0% up 6.1% 1.2M 212K+200/day 1.18.346d ago Free + $10/mo
9
GitHub CopilotGitHub (Microsoft)
IDEs 70 — — — 78.6M — — Free + $10/mo
19
ZedZed Industries
IDEs 59 — — — — 91.3K+54/day 1.22.06d ago Free + $10/mo
34
ClineCline Bot Inc.
Terminal 52 95K up 10.1% down 37.2% 5.5M 69.9K+63/day 0.0.434d ago Free + $9.99/mo
36
JunieJetBrains
IDEs 51 318 down 58.6% — — 469+1/day 3651.1yesterday Free + $10/mo
40
OpenHandsOpenHands (formerly All Hands AI)
Terminal 50 316K — — — 90.1K+98/day 1.25.0today Free
48
mini-SWE-agentPrinceton University & Stanford University (SWE-agent team)
Terminal 47 3.4M up 58.9% down 26.3% — 8,225+23/day 2.4.62mo ago Free (OSS)
51
Kilo CodeKilo Code (Anaconda)
Terminal 46 32.8K down 32.4% — 1.6M 27.5K+15/day 7.8.35d ago Free + $19/mo
52
GitHub Copilot CLIGitHub (Microsoft)
Terminal 46 1.7M up 19.1% down 36.3% — 11.2K+5/day 1.0.92yesterday Free + $10/mo
58
GooseBlock (now Agentic AI Foundation)
Terminal 43 — — — 7,358 55K+38/day 1.53.04d ago Free (OSS)
65
Qwen CodeAlibaba Cloud (Qwen)
Terminal 41 105K up 30.8% up 5.5% 373K 28.3K+20/day 0.25.0yesterday Bring your key
84
AiderAider-AI (Paul Gauthier)
Terminal 34 61.3K down 1.5% down 57.8% — 49.4K+23/day 0.86.014mo ago Free (OSS)
88
Mistral VibeMistral AI
Terminal 34 488K down 30.9% down 60.1% 40.8K 5,050+5/day 2.25.813d ago Free + $14.99/mo
90
CrushCharm
Terminal 33 7,773 down 10.6% — — 28.5K+25/day 0.97.17d ago Free
107
Open InterpreterOpen Interpreter (openinterpreter.com)
Terminal 26 — — — — 68.5K+12/day 0.0.556d ago Free (OSS)

Ranks are overall positions by Pulse Score. Click a column to sort by what matters to you. Methodology.

How each agent connects to a local model

Only agents whose own documentation describes a local setup are listed; each link goes to that page. Checked Oct 6, 2026.

Agent How it connects Setup docs
OpenAI Codex --oss mode with Ollama or LM Studio official docs
Pi llama.cpp, Ollama, LM Studio and vLLM via a custom base URL official docs
OpenCode Ollama, LM Studio, llama.cpp or any OpenAI-compatible local server official docs
GitHub Copilot VS Code bring-your-own-model with the Ollama extension official docs
Zed Ollama, LM Studio, llama.cpp and other local OpenAI-compatible servers official docs
Cline Ollama and LM Studio providers official docs
Junie Junie CLI with LM Studio or Ollama official docs
OpenHands LM Studio, Ollama, vLLM and SGLang official docs
mini-SWE-agent Local servers such as vLLM through LiteLLM official docs
Kilo Code Ollama and LM Studio providers official docs
GitHub Copilot CLI Bring your own model: Ollama, vLLM, Foundry Local or any OpenAI-compatible endpoint official docs
Goose Ollama, Docker Model Runner and Ramalama providers official docs
Qwen Code Ollama or vLLM through an OpenAI-compatible provider official docs
Aider Ollama, or any OpenAI-compatible local server official docs
Mistral Vibe Any OpenAI-compatible local server (vLLM, llama.cpp, LM Studio, Ollama) official docs
Crush Auto-discovers Ollama, LM Studio and llama.cpp servers official docs
Open Interpreter Built-in Ollama and LM Studio providers official docs

Why run a coding agent locally

Privacy. With a local model, your code and prompts are not sent to a model provider. (Check the agent's own telemetry settings too.) That matters for client code, regulated work, or a company policy that forbids sending source to third parties.

Cost. There is no per-token bill. You pay once, in hardware, and in electricity.

Offline work. Once the model is downloaded, open-source agents can keep working without a connection. Extensions of commercial products may still need you to be signed in.

What to expect

Local models are smaller than the frontier models behind commercial agents, and coding agents are demanding: they read many files, keep a long context and call tools in loops. In practice that means:

  • Hardware decides what you can run. A laptop with 16 GB of memory runs small models that can handle simple edits and explanations. Models that can drive a multi-step agent loop reliably need much more memory, typically a workstation GPU or a recent Mac with a large amount of unified memory.
  • Context length matters as much as model size. Local servers often start with a short default context window; agents need a long one to see enough of the codebase. Check your server's context setting before judging a model.
  • Tool calling must be supported by the model and the server, or the agent cannot run commands or edit files.

A common setup is hybrid: a local model for routine or sensitive work, a hosted model for the hard tasks. Agents that let you switch models mid-session make that easy.

Agents that do not run locally

Some popular agents work only with their vendor's hosted models, or reach a model on your machine only through a public tunnel. For example, Claude Code documents that it does not route to non-Claude models, and Gemini CLI connects only to Google's backends. Their pages on this site list which models they support.

Questions about local AI coding agents

Which AI coding agents can run with a local model?

17 agents tracked here document local-model support, including OpenAI Codex, Pi, OpenCode, GitHub Copilot, Zed. Most connect through Ollama, LM Studio or another OpenAI-compatible server running on your machine.

Is a local coding agent completely free?

The open-source agents are free to install, and a local model has no per-token cost. You still need hardware capable of running a useful model, and some agents (such as editor extensions of commercial products) may require an account or plan for other features.

Can Claude Code or Cursor use a local model?

Not as a documented local setup. Claude Code's documentation says it does not route to non-Claude models. For Cursor, staff on its official forum explain that requests go through Cursor's servers, so a model on your machine would need a public HTTPS tunnel.