awesome-ai-plugins
This is an awesome-style list from HOL (Hashgraph Online) of plugins, skills and resources for OpenAI Codex, which packages skills, MCP servers and app integrations into shareable bundles across the Codex app, CLI and IDE extensions. The README is organised into Official Plugins, Community Plugins (split into Development and Workflow, and Tools and Integrations), Plugin Development, Guides and Articles, and Related Projects.
Unlike most lists it is also installable: the repository publishes a Codex repo marketplace at .agents/plugins/marketplace.json, pointing at mirrored plugin bundles under ./plugins/, so Codex can be pointed at the repo to browse and install entries. It also documents a validation workflow for plugin authors, using HOL's plugin-scanner for lint and verify checks locally and as a GitHub Action on pull requests.
Features
Why choose it
Trade-offs
Maintenance check
- Last commit
- 2026-10-19
- Commits, last 90 days
- 100+
- Releases, last 90 days
- 0
- Latest release
- —
- Open issues
- 92
- Recent issues with at least one comment
- 0/2
Oldest week on the left; the latest four weeks are orange. Source: GitHub commit activity.
Status rule: archived on GitHub = Archived; last commit within 90 days = Active; 91 to 365 days = Slowing; older = Stale. All figures come from the GitHub API on the date shown.
Most discussed open issues
- #717 [registry] Fix Scoutflo install target and reconcile Claude metadata and fallback scan2 comments · 2026-10-10
Issue titles are quoted from GitHub. Open the link to check whether a problem still applies to the version you use.
Who it fits
- You are looking for plugins, skills, and extension resources for AI coding assistants including OpenAI Codex, Claude Code, and Gemini.
- You want a curated list of official and community-built agent capabilities with marketplace development guides.
- You are looking specifically for standardized Model Context Protocol (MCP) servers (use `awesome-mcp-servers` instead for broader ecosystem coverage).
- You need an execution runtime or plugin host SDK rather than a curated markdown reference list.
How it differs
awesome-ai-plugins gathers assistant-specific plugins (Codex, Claude Code); awesome-mcp-servers focuses on the open Model Context Protocol standard.
awesome-ai-plugins is an index of general coding tools; knowledge-work-plugins is Anthropic's ready-to-run suite tailored for enterprise business domains.
Compatibility
Quick start
Use cases
Alternatives
Comments
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