# Entry
Open code plug-ins are add-ons that extend the capabilities of the OpenCode AI coding agent. They provide additional tools, integrations, and workflow improvements such as persistent storage, terminal access, cited web search, reusable skills, and analytics. These plug-ins lend a hand developers adapt OpenCode for more advanced coding, research, and automation workflows.
In this article, we review seven OpenCode plugins that stand out for their usability, features, and growing adoption in the community. Together they show how plugins can make an OpenCode agent more powerful, adaptable, and practical for everyday apply.
# 1. Oh my Openagent
Widely considered the most significant plugin in the OpenCode ecosystem, oh-my-openagent stands out for its breadth. It adds background agents, pre-built Language Server Protocol (LSP), Abstract Syntax Tree (AST) and Model Context Protocol (MCP) tools, curated agent packages, and Claude Code compatibility, making it one of the most complete updates available for advanced OpenCode workflows.
Best for: Universal power supply
GitHub: https://github.com/ohmyopencode/oh-my-opencode
# 2. Opencode anti-gravity authentication
Built with authentication in mind, this plugin allows OpenCode to connect to Antigravity via OAuth. This allows users to log in with their Google credentials and unlock access to models such as Gemini 3.1 Pro and Claude Opus 4.6 Thinking directly in OpenCode.
Best for: Enabling antigravity and access to Google-powered models in OpenCode
GitHub: https://github.com/NoeFabris/opencode-antigravity-auth
# 3. Opencode Supermemory
Designed for durability, opencode supermemory gives the agent the ability to store what users share in sessions and even projects. This is one of the most practical additions for anyone who wants OpenCode to behave less like a stateless assistant and more like a eternal contributor.
Best for: Enduring memory in sessions and projects
GitHub: https://github.com/supermemoryai/opencode-supermemory
# 4. Opencode Pty
Focused on developer workflow, this plugin provides interactive pseudo-terminal (PTY) support in OpenCode. It allows the agent to run processes in the background, send further input, and return later to read the output, making it much more powerful than just relying on one-off shell commands.
Best for: Long running background processes and interactive terminal sessions
GitHub: https://github.com/shekohex/opencode-pty
# 5. The Opencode search engine was cited
For research-intensive work, this plugin adds a web search tool with OpenCode citation support. According to the repository, it can generate inline citations and source lists while supporting Google, OpenAI, or OpenRouter-based search configurations, depending on configuration.
Best for: Explore quote workflows
GitHub: https://github.com/ghoulr/opencode-websearch-cited
# 6. Open Wakatime Code
With visibility and measurement in mind, opencode-wakatime tracks AI-powered coding activity, time spent and file changes. It plugs in WakaTimea familiar dashboard workflow, giving teams and individuals greater insight into how OpenCode is being used.
Best for: AI-powered coding activity tracking
GitHub: https://github.com/angristan/opencode-wakatime
# 7. Opencode agent skills
With a focus on reusability, this plugin adds support for discovering and loading agent skills from project folders, user directories, and Claude-compatible locations. This is especially useful for teams that want portable skill libraries and a smoother Claude-style skill workflow within OpenCode.
Best for: Reusable skill loading and skill workflows compatible with Claude
GitHub: https://github.com/joshuadavidthomas/opencode-agent-skills
# Final thoughts
OpenCode plugins make the platform more than just a coding agent. What’s most compelling to me is how quickly they can extend OpenCode into something that feels more personal, more powerful, and much better suited to real-world developer workflows.
Whether the goal is better memory, more thorough research, free access to Gemini models, richer terminal control or reusable skills, these plugins show how adaptable the ecosystem is becoming. For anyone starting out, I think the best approach is to start with plugins that solve your biggest everyday problems and then build from there as your workflow becomes more advanced.
Abid Ali Awan (@1abidaliawan) is a certified data science professional who loves building machine learning models. Currently, he focuses on creating content and writing technical blogs about machine learning and data science technologies. Abid holds a Master’s degree in Technology Management and a Bachelor’s degree in Telecommunications Engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.