News

GitHub Launches Agent HQ: Unified Platform for Claude, Codex, and Major AI Models

AI Tools Hub Editorial Team
#GitHub #Agent HQ #Claude #OpenAI #VS Code #AI

GitHub announced Agent HQ in February 2026, enabling developers to access multiple AI models (Claude, OpenAI Codex, Gemini) directly within GitHub and VS Code through a unified interface.

GitHub announced Agent HQ in February 2026, a new AI integration platform that provides a unified interface for accessing multiple AI models—Claude (Anthropic), OpenAI Codex, and Gemini (Google)—directly within GitHub repositories and Visual Studio Code.

Overview

What is Agent HQ?

Agent HQ enables developers to switch between multiple AI models through a single interface. Previously, each AI service (Claude, ChatGPT, Gemini) required separate web interfaces or IDE plugins, but Agent HQ provides unified access on GitHub.

Supported AI Models

As of February 2026:

  • Anthropic: Claude Opus 4.6, Claude Sonnet 4.5
  • OpenAI: GPT-5.3-Codex-Spark, GPT-4 Turbo
  • Google: Gemini 3 Deep Think, Gemini 1.5 Flash
  • Other: GitHub Copilot (proprietary engine)

Open-source model support (Llama 3, Mistral, etc.) is planned.

Key Features

1. GitHub Repository Integration

Pull Request Review:

  • Automatic code review by AI
  • Compare opinions from multiple AI models
  • Automatic security vulnerability detection

Issue Management:

  • Auto-generate code fix suggestions from issues
  • Compare solutions from multiple AIs
  • Automatic bug reproduction steps

Code Search:

  • Natural language code search (“Find authentication implementation”)
  • Cross-repository search
  • AI-powered related code recommendations

2. VS Code Extension

Agent HQ for VS Code:

  • Switch between AI models in side panel
  • Code completion, refactoring suggestions
  • Error diagnosis and debugging assistance
  • Terminal command generation

Multi-Model Comparison:

  • Send same query to multiple AIs
  • Display answers side-by-side
  • Leverage each AI’s strengths
  • Example: Claude (long-form), Codex (speed), Gemini (multilingual)

3. Team Collaboration

Shared AI Chat History:

  • Share AI conversation history with team members
  • Accumulate best practices
  • Build project-specific knowledge base

AI Usage Analytics:

  • Visualize team AI usage
  • Cost management and model selection optimization
  • Quantitative productivity assessment

Pricing

GitHub Free

  • Agent HQ Basic: Available
  • Models: GitHub Copilot (free tier), GPT-3.5
  • Limit: 100 AI queries/month

GitHub Pro ($4/month)

  • Agent HQ Full Features: Available
  • Models: Claude Sonnet, GPT-4 Turbo, Gemini Flash
  • Limit: 500 queries/month

GitHub Team ($4/month/user)

  • Agent HQ Team Features: Available
  • Models: All models (including Opus 4.6, GPT-5.3)
  • Limit: 2,000 queries/month/user

GitHub Enterprise (Contact sales)

  • Agent HQ Enterprise: Custom integration
  • Models: All models + custom models
  • Limit: Unlimited
  • Additional: On-premises deployment, dedicated support

Industry Impact

The launch of Agent HQ is expected to significantly impact the IDE market and AI providers, potentially becoming the standard platform for AI usage.


(Information as of February 13, 2026. Features and pricing subject to change.)

関連記事

人気記事

Comparison

ChatGPT(OpenAI)とClaude(Anthropic)の機能比較 2026年版。コーディング・長文解析・コスト・API料金の違いを検証

ChatGPT(GPT-4o/o3)とClaude(Sonnet 4.6/Opus 4.5)を2026年時点の最新情報で比較する。コーディング能力、長文処理、日本語品質、API料金、無料プランの違いをSWE-benchなどのベンチマーク結果とともに解説する。

続きを読む →
opinion

【2026年2月20日 所感】「AIがコードを書く」は仮説から現実になった——しかし私たちはその意味をまだ消化できていない

2026年2月20日に観測したコーディングエージェント関連ニュースの総括と所感。Anthropicの自律性研究、cmux、MJ Rathbunのエージェント事故、HN「外骨格 vs チーム」論争、Stripe Minions週1000件PR、Taalas 17k tokens/sec——朝から夜までの流れを通じて見えてきた「AIがコードを書く時代」の実相を考察する。

続きを読む →
tool

868のスキルをnpx 1コマンドで——「Antigravity Awesome Skills」が主要AIコーディングエージェントの共通スキル基盤になりつつある

Claude Code・Gemini CLI・Codex CLI・Cursor・GitHub Copilotなど主要AIコーディングアシスタントを横断する868以上のスキルライブラリ「Antigravity Awesome Skills」(v5.4.0)を詳細分析。Anthropic・Vercel・OpenAI・Supabase・Microsoftの公式スキルを統合した設計思想、ロール別バンドル・ワークフロー機能、SKILL.mdによる相互運用性のアーキテクチャを解説する。

続きを読む →

最新記事

0 tools selected