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Head-to-head · AI Coding & Dev Tools

HOL Plugins vs iLang

HOL PluginsAI Coding & Dev ToolsFreemium
iLangAI Coding & Dev ToolsFreemium
HOL PluginsiLang
Capability
18
18
Ease of use
20
14
Value
22
22
Delivery
8
8
Each sub-score is out of 25. Together they make the Editor's Score.

HOL Plugins vs iLang: score breakdown

HOL Plugins scores 68/100 against 62/100 for iLang, a 6-point gap. HOL Plugins is ahead on Ease of use (20 vs 14); they tie on Capability (18), Value (22) and Delivery (8). Each sub-score is out of 25.

Features and platforms

FeatureHOL PluginsiLang
Pricing modelFreemiumFreemium
Free planYesYes
PlatformsWebWeb, PyPI (Python 3.9+), npm, MCP server (hosted at mcp.ilang.ai), GitHub
Best forDevelopers working across multiple AI coding agent runtimes who need one place to vet and install plugins.AI agent builders and researchers designing cross-model workflows
Skip ifSingle-runtime Cursor users who prefer a curated, first-party extension store.Developers wanting an IDE coding assistant or autocomplete tool

Cost and usage limits

HOL Plugins has a free plan; paid plans start at $200/mo (Featured placement (publishers)). iLang has a free plan.

HOL Plugins
Free (end users)Free
Featured placement (publishers)$200/month
iLang
Protocol (Free)Free
Source Book 2.9$9.99

Prices from each vendor's pricing page. HOL Plugins checked October 2026 · iLang checked November 2026

Pros and cons

HOL Plugins

  • Covers nine or more agent runtimes in one catalog, including Claude Code, Codex, Cursor, MCP, and OpenCode, with runtime-specific install commands on each plugin page.
  • Trust scores combine publisher identity, activity, and owner-verification signals rather than relying on star ratings alone, and the underlying dataset (HashgraphOnline/hol-plugin-security) is publicly pinnable.
  • Completely free for end users, with no account required to browse, filter, or retrieve install commands across all 792 listed plugins.
  • Security scanning is explicitly static and catalog-level, not a live exploit test. HOL states this plainly, but it means a malicious plugin that passes the static scan at submission time could still pose a runtime risk.
  • Featured placement is sold from $200/month with slot counts shown on the catalog page itself, meaning the top of the ranked list is partly a paid position. The line between editorial ranking and sponsored placement is not always clear to a first-time visitor.
  • The catalog depth varies significantly by runtime. With 792 total plugins spread across nine or more ecosystems, less popular runtimes like Kimi Code or Antigravity CLI may have thin coverage compared to Claude Code or MCP.

iLang

  • Genuinely model-agnostic: the protocol has been conformance-tested across seven major models (ChatGPT, Claude, Gemini, DeepSeek, Kimi, Qwen, GLM) with 45 documented runs, making it portable in a way no single-vendor tool can match.
  • The v5.0 judgment layer (11-dimension vector, f_v5 decision function, eight behavioral modes) replaces binary safety rules with continuous assessment, a formally specified capability with no equivalent in the directory competitors.
  • Zero-install entry point: pasting the runtime text into any large-context AI is enough to load the protocol, with SHA-256-verified loader packages available for Python 3.9+ and Node when persistence matters.
  • The core runtime is approximately 27,000 tokens, which adds meaningful cost to every non-cached request; production use effectively requires provider-level prompt caching, and teams without that infrastructure will pay a real token tax on every call.
  • The project is early-stage and self-described as a protocol rather than a product: there is no GUI, no dashboard, no managed service, and adoption outside the iLang Inc. orbit is not yet documented, making it a bet on a standard that has not yet been widely adopted.
  • The $9.99 paid artifact (Source Book 2.9) is a single engineering document rather than a tier with ongoing support or features, so there is no clear upgrade path or commercial support option for teams that need it.

Our verdict

HOL Plugins verdict

HOL Plugins is the most practical single place for a developer to compare and install plugins across nine or more agent runtimes without bouncing between ecosystem-specific stores. The security scanning is static catalog-level scoring, not a live exploit test, so it narrows risk rather than eliminating it, and the catalog's depth varies noticeably by ecosystem. Developers who only use Cursor and want a polished, opinionated experience should look at Cursor's own extension marketplace instead.

Read full HOL Plugins review →

iLang verdict

iLang is best suited for AI researchers, multi-agent system builders, and developers who need a portable, model-agnostic protocol layer rather than a code-completion assistant. Its judgment layer and cross-model portability are genuinely novel, but the protocol is early-stage and the ecosystem around it is thin compared to established tooling. Developers who want an IDE assistant or an agentic coding workflow should look at Cursor or GitHub Copilot instead.

Read full iLang review →
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