OpenCode

OpenCode

OpenCode is an open-source AI programming agent that can write code in terminals, IDEs and desktop clients. It supports LSP, multi-session parallelism and 75+ models, and prioritizes privacy without storing code.

AI Developer Tools#Terminal Agent#Open Source#Multi-Model

Updated: 2026-10-26

What is OpenCode?

OpenCode is an open-source AI programming agent, officially positioned as an "open-source AI programming agent" that focuses on writing code across terminals, IDEs, and desktop clients. Different from closed-source commercial coding assistants, its core selling point is "privacy first" โ€” the official states that it does not store any of the user's code or context data, making it suitable for operation in privacy-sensitive environments. The platform integrates more than 75 LLM providers through Models.dev, including Claude, GPT, Gemini, and local models, and also supports direct invocation via GitHub Copilot or ChatGPT Plus/Pro accounts. According to its official website, it has over 195,000 GitHub Stars, 950 contributors, and is used by more than 16 million developers every month.

Who is it for?

  • Developers and enterprise teams who value code privacy and want tools that do not store code or contextual data in the cloud
  • Engineers who are used to working in the terminal and want an AI programming assistant that stays within the command line
  • Users who want to use local or self-built models and avoid sending code to third-party APIs
  • People who have subscribed to GitHub Copilot or ChatGPT Plus/Pro and wish to directly reuse their existing accounts
  • Developers who enjoy tinkering with open-source tools and are willing to read documentation and contribute code

Key features

6
1

Multi-editor Support

It provides three forms: terminal interface, desktop application and IDE extension, enabling code writing on terminals, IDEs or desktops to adapt to different working habits.

2

Access to Any Model

Through Models.dev, it supports over 75 LLM providers, including Claude, GPT, Gemini, and local models. You can also use GitHub Copilot or ChatGPT Plus/Pro accounts.

3

Automatic LSP Loading

Supports the Language Server Protocol. The official states that it will automatically load the appropriate LSP for LLMs, making code completion and understanding more aligned with the current language and project.

4

Multi-session Parallelism

You can start multiple agents in parallel within the same project to handle different tasks separately, which is suitable for scenarios that require advancing multiple modifications simultaneously.

5

Session sharing links

You can generate sharing links for any session to facilitate others' reference and debugging, eliminating the need to share logs back and forth during collaborative troubleshooting.

6

Zen Curated Models

The official team has launched Zen, which provides a curated set of AI models tailored for programming agent testing and benchmarks, eliminating the cost of comparing performance and quality across multiple providers.

How to use OpenCode

  • It is recommended to start with the terminal version: the official website provides various installation methods such as curl, npm, bun, brew, paru, etc.
  • Just pick the one that matches your system.
  • When accessing the model, prioritize using a GitHub Copilot or ChatGPT account for a trial run.
  • Verify the experience before deciding whether to configure other paid or local models to avoid being distracted by numerous providers right away.
  • Multi-session parallelism is suitable for separating "developing new features" and "fixing old bugs", but too many parallel tasks will consume more context and quota.
  • It is recommended to get a single session working properly before enabling parallelism.
  • Privacy-first is a relative commitment.
  • when dealing with highly sensitive code, it is still advisable to confirm the deployment form and data flow, and keep local backups.
  • Official data (such as Stars and monthly active users) is for promotional purposes only and should be used for rough reference.

Traffic & popularity

Data month Sep 2026

OpenCode receives about 10.4M visits per month and ranks #4,860 worldwide.

Monthly visits
10.4M
โ–ผ 19.7% vs last month
โ–ฒ 27.3% vs 3 mo. ago
Global rank
#4,860
of all websites
Bounce rate
35.5%
leave after one page
Avg. duration
4:10
per visit
Pages / visit
4.77
per visit
Country rank
#370
in its top market

Monthly visits

12 months
15.0M11.3M7.5M3.8M0
Oct 2025Apr 2026Sep 2026

Traffic sources

  • Direct55.5%
  • Search31.5%
  • Referrals7.2%
  • Social4.0%
  • AI assistants1.2%
  • Other0.6%

Top countries

  • China26.5%
  • United States11.7%
  • India6.0%
  • Brazil4.5%
  • Indonesia3.6%

Estimated from third-party traffic data.

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