Gptme vs OpenCode (2026): Which Vibe Coding App Is Better?

Both are popular terminal coding agents. Here is how Gptme and OpenCode stack up on price, strengths and weaknesses, and which one we would pick.

Gptme

Provider-agnostic terminal AI agent with shell, Python, file and browser tools

7.5 /10

Pricing: Open source

Pros

Model-agnostic (Anthropic, OpenAI, Google, xAI, DeepSeek, OpenRouter, local llama.cpp) rather than locked to one vendor
Mature and actively maintained: MIT, ~4.4k stars, 4,500+ commits, recent v0.33.0 release (Aug 2026) adding sandboxed execution
Broad tool set out of the box: shell, Python REPL, incremental file patching, browser automation, vision, plus a plugin/skills/hooks system

Cons

Executes arbitrary shell and Python commands on your machine at the model's direction — real risk if run unsupervised without its guardrail features enabled
Autonomous/persistent-agent mode needs careful configuration (task selectors, pre-commit checks) to use safely

Visit Gptme ↗

OpenCode

Open-source terminal coding agent that works with any model provider

8.4 /10

Pricing: Open source

Pros

Free and open source; any model provider
Claude Code-style extensibility
Fast, well-designed terminal UI

Cons

You pay the model provider directly; costs vary with usage
Smaller community of ready-made extensions

Visit OpenCode ↗

Gptme vs OpenCode at a glance

	Gptme	OpenCode
Editor score	7.5 / 10	8.4 / 10
Pricing model	Open source	Open source
Starting price	Free	Free
Reader upvotes	0	1
Best for	terminal-agent, cli, python	terminal, open source, byok
Agent Skills support	No	Yes
Subagents support	No	Yes
MCP support	No	Yes
AGENTS.md support	No	Yes
Plugins support	No	Yes
Hooks support	No	No
Rules support	No	No
Agent skills in this directory	0	53
Subagents & agents in this directory	3	26
MCP servers in this directory	0	73

Our pick

OpenCode edges it with a score of 8.4 versus 7.5. OpenCode is the better fit if you value: free and open source; any model provider, claude code-style extensibility. Choose Gptme instead if you need: model-agnostic (anthropic, openai, google, xai, deepseek, openrouter, local llama.cpp) rather than locked to one vendor, mature and actively maintained: mit, ~4.4k stars, 4,500+ commits, recent v0.33.0 release (aug 2026) adding sandboxed execution.