← Use cases · Coding agents & IDE assistants
AI agent tools for plugin
Short answer: Our top pick for plugin: claude-hud, with the highest AgentPick Score (84/100) among tools tagged "plugin". Runners-up: solon (71) and opencode.nvim (68). Compare what each does, its license and how recently it was updated below.
| # | Tool | What it does | Score | Stars | License | Updated |
|---|---|---|---|---|---|---|
| #1 | claude-hud | A Claude Code plugin that shows what's happening - context usage, active tools, running agents, and todo progress | 84/100 | ★ 29k | MIT | 13 Oct 2026 |
| #2 | solon | 🔥 Java enterprise application development framework for full scenario: Restrained, Efficient, Open, Ecologicalll!!! 700% higher concurrency 50% memor… | 71/100 | ★ 2.8k | Apache-2.0 | 1 Oct 2026 |
| #3 | opencode.nvim | Neovim 🤝 OpenCode in the flow that you already know. | 68/100 | ★ 3.9k | MIT | 12 Oct 2026 |
| #4 | llm-wiki | LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, thesis-driven investigation, source ingestion, wiki compilation, queryin… | 64/100 | ★ 1.4k | MIT | 2 Oct 2026 |
| #5 | qveris-agent-toolkit | Bring professional data and tools to the AI you already use: open-source MCP, CLI, SDKs, skills, and docs to find services, call them, and audit usage… | 61/100 | ★ 262 | MIT | 12 Oct 2026 |
| #6 | Dataverse-skills | Microsoft Dataverse skills for AI coding agents. Wraps the Dataverse MCP server, Dataverse CLI, Python SDK, and PAC CLI behind specialist skills for b… | 55/100 | ★ 244 | MIT | 14 Oct 2026 |
| #7 | EvoOntology | EvoOntology: A Self-Evolving Ontology Layer for Data Agents ⚙️ EvoOntology插件为Claude Code/Codex 建立&进化本体层 | 38/100 | ★ 826 | MIT | 9 Oct 2026 |
| #8 | claude-code.nvim | Seamless integration between Claude Code AI assistant and Neovim | 27/100 | ★ 2.1k | MIT | 4 Feb 2026 |
Source: each project's public GitHub repository (description, stars, license, last push). Listed tools aren't tested or ranked by AgentPick.
How to choose
- Check which models and providers it supports.
- Prefer tools that show diffs and ask before running commands.
- Look for recent commits: coding agents change fast.
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