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⇱ OpenCode vs Aider (June 2026): 172k Stars vs 46k, MIT vs Apache, Free BYOK Agents Compared


OpenCode vs Aider (2026): 172k Stars vs 46k, MIT vs Apache, and Which BYOK Agent to Pick

OpenCode has 172,198 GitHub stars (MIT) and 75+ model providers; Aider has 45,945 (Apache-2.0) and auto-commits every edit. Both are free, terminal-based, bring-your-own-key. Install commands, model config, and which fits.

June 9, 2026 · 1 min read

OpenCode and Aider are both free, open-source, terminal agents you point at your own API key. OpenCode is the most-starred open-source coding agent on GitHub at 172,198 stars (MIT), with 75+ model providers and a client-server TUI. Aider is the original git-native pair programmer at 45,945 stars (Apache-2.0), built so every edit becomes a clean commit.

172,198
OpenCode GitHub stars (MIT)
45,945
Aider GitHub stars (Apache-2.0)
75+
OpenCode model providers
$0 agent
Both free, pay only for the model API

Summary

DimensionOpenCodeAider
GitHub stars172,19845,945
LicenseMITApache-2.0
Form factorClient-server TUI agentLean CLI pair programmer
Model providers75+ via AI SDK / Models.devWide support, per-run flags
Git modelStandard git, agent-drivenAuto-commit every edit
Repo cadencePushes dailyLast push 2026-05-22
Best forLonger autonomous sessionsTight edit-and-commit loops

Both keep your code and keys local and avoid lock-in. OpenCode is the most-starred open-source coding agent, ahead of gemini-cli (105k) and openai/codex (90k). The choice is temperament: Aider's lean, git-first discipline versus OpenCode's broader agent surface and larger provider menu.

Stars, License, and Maintenance Cadence

OpenCode lives at anomalyco/opencode (a redirect from the original sst/opencode) with 172,198 stars under an MIT license. That makes it the most-starred open-source coding agent on GitHub, ahead of Google's gemini-cli at 105,104 and openai/codex at 89,991.

Aider lives at Aider-AI/aider with 45,945 stars under Apache-2.0. Its last repo push was 2026-05-22, a slower cadence than OpenCode and Cline, which push daily. Aider works, and it is mature and battle-tested, but its model guidance has not been refreshed for 2026 frontier models: the docs still recommend Gemini 2.5 Pro, DeepSeek R1/V3, Claude 3.7 Sonnet, o3/o4-mini, and GPT-4.1.

License difference that matters

OpenCode is MIT, Aider is Apache-2.0. Both are permissive and fine for commercial use. Apache-2.0 adds an explicit patent grant; MIT is shorter and simpler. Neither restricts how you use the tool.

Install Commands

ToolPrimary installAlternatives
OpenCodecurl -fsSL https://opencode.ai/install | bashnpm install -g opencode-ai; brew install anomalyco/tap/opencode
Aiderpython -m pip install aider-install && aider-installcurl -LsSf https://aider.chat/install.sh | sh; uv tool install aider-chat; pipx

OpenCode also installs via Bun, pnpm, Yarn, pacman/paru, Chocolatey, Scoop, Mise, and Docker. On Windows, Aider uses the PowerShell one-liner powershell -ExecutionPolicy ByPass -c "irm https://aider.chat/install.ps1 | iex". Both run entirely in your terminal.

Models and Configuration

Both are bring-your-own-key and model-agnostic. The difference is breadth and how you wire models in.

OpenCode supports 75+ LLM providers through the AI SDK and the Models.dev catalog, plus local models via Ollama, LM Studio, and llama.cpp. It ships OpenCode Zen, a curated list of models the team has tested and verified for agentic coding. Any OpenAI-compatible endpoint plugs in via JSON:

{"provider":{"myprovider":{
 "npm":"@ai-sdk/openai-compatible",
 "options":{"baseURL":"https://api.myprovider.com/v1"},
 "models":{ ... }
}}}

Aider connects per run with flags. You pass the model and key on the command line and switch by changing the flags:

aider --model sonnet --api-key anthropic=<key>
aider --model deepseek --api-key deepseek=<key>

Aider supports a wide range of providers and local models via Ollama or any OpenAI-compatible API. Its published model recommendations predate the 2026 frontier models, so you will often set the model yourself rather than follow the docs.

Cost is just the model

With either tool you pay the provider directly at API rates, no agent subscription. Route expensive tasks to a strong model and cheap tasks to a cheaper one. See LLM cost optimization.

Git Behavior: The Core Design Split

Aider treats git as the interface. Each change lands as a commit with a generated message, so your history is your undo stack and your audit log. That discipline keeps sessions reviewable and makes it trivial to roll back a single step. It is intentionally minimal: edit, commit, repeat.

OpenCode treats the terminal as an application. Its client-server design lets you attach to a running agent, run longer autonomous sessions, and work through a richer interactive surface. Git is standard and agent-driven rather than the central abstraction. It trades Aider's lean commit loop for a fuller agent experience.

Where OpenCode Wins

Most-starred agent

172,198 stars, MIT, ahead of gemini-cli and codex. The largest open-source community.

75+ providers

AI SDK and Models.dev catalog, plus Ollama, LM Studio, llama.cpp, and OpenCode Zen.

Client-server sessions

Attach and detach from a running agent; built for longer autonomous runs.

Where Aider Wins

Clean git history

Every edit is a commit with a message. History is your undo stack and audit trail.

Minimal and fast

Lean, focused, low overhead. Does the edit-and-commit loop and not much else.

Mature and proven

Battle-tested across many models with a large, long-standing user base.

Running DeepSeek and Open Models With Either Tool

Both tools are bring-your-own-endpoint, so the model backend is your choice and it sets the quality ceiling. For DeepSeek and other open-weight models, the provider matters as much as the model.

Most serverless providers quantize activations to fp8 to cut cost, which degrades output. Morph Open Source Models serve DeepSeek with 16-bit (bf16) activations, no fp8 or int8 quantization, so responses match the reference weights. That makes Morph the best place to run DeepSeek when output fidelity matters. For coding agents specifically, Morph runs codegen-tuned speculative decoding (draft and ngram tuned on code) plus custom low-level inference kernels, which makes it both the fastest and highest-quality option for code generation.

ModelInput / 1M tokensOutput / 1M tokensActivations
morph-dsv4flash (DeepSeek V4 Flash)$0.139$0.27816-bit (bf16), no quantization

Point OpenCode at it as an OpenAI-compatible provider, or pass it to Aider with --model and an API key. See pricing and the model list.

Decision Framework

Your situationBest choiceWhy
Want clean git historyAiderAuto-commits every edit with a generated message.
Want the broadest model menuOpenCode75+ providers via AI SDK and Models.dev.
Prefer minimal toolingAiderLean and fast, does one thing well.
Longer autonomous runsOpenCodeClient-server agent sessions you can attach to.
Want the largest communityOpenCode172k stars, most-starred open-source coding agent.
Value a battle-tested toolAiderMature and widely used over many model generations.

Frequently Asked Questions

Is OpenCode or Aider better in 2026?

Both are free and model-agnostic. OpenCode (172,198 stars, MIT) is the richer client-server agent with 75+ providers; Aider (45,945 stars, Apache-2.0) is the lean git-native pair programmer. Pick OpenCode for a fuller agent and broad provider choice, Aider for minimal commit-driven editing.

How many GitHub stars do OpenCode and Aider have?

OpenCode has 172,198 stars (MIT), the most of any open-source coding agent. Aider has 45,945 stars (Apache-2.0). Both as of June 9, 2026.

Is Aider still maintained?

Yes, but at a slower cadence. Aider's last repo push was 2026-05-22, and its model guidance still references 2025-era models like Claude 3.7 Sonnet and GPT-4.1. OpenCode pushes daily.

How do I install each one?

OpenCode: curl -fsSL https://opencode.ai/install | bash or npm install -g opencode-ai. Aider: python -m pip install aider-install && aider-install or curl -LsSf https://aider.chat/install.sh | sh.

Are they free?

Yes. Both are open source and free. You pay only for the model API you connect.

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