The fastest-rising AI GitHub repos: July 2026
TL;DR
The AI and developer GitHub repos that gained the most stars and forks during July 2026, ranked by month-over-month momentum. Picks span coding assistants, MCP servers, and AI frameworks.
TL;DR
Ten GitHub repos that gained the most stars and forks this July: the biggest movers our directory tracks, ranked by momentum. Each link opens the full review on My AI Guide; the GitHub link below goes to the source repo.
Biggest movers this month
1. graphify: 99,779 stars (8.5/10 editor rating) (+24,861 stars in July)
Graphify is a skill for Claude Code, Codex, Cursor, and Gemini CLI that builds a queryable knowledge graph from any codebase.
GitHub: safishamsi/graphify. Category: Claude ecosystem.
2. superpowers: 264,480 stars (+21,879 stars in July)
Claude skills for dev & debugging.
GitHub: obra/superpowers. Category: Plugin.
3. hermes-agent: 223,444 stars (8.5/10 editor rating) (+16,894 stars in July)
Hermes Agent leads open agent frameworks with a true self-improving learning loop that builds persistent skills and models users over time.
GitHub: NousResearch/hermes-agent. Category: AI Agents.
4. firecrawl: 158,741 stars (+16,503 stars in July)
Firecrawl scraping plugin.
GitHub: firecrawl/firecrawl-claude-plugin. Category: Plugin.
5. awesome-llm-apps: 129,387 stars (8.8/10 editor rating) (+13,229 stars in July)
Awesome LLM Apps by Shubhamsaboo is the most popular collection of runnable AI Agent and RAG apps on GitHub, with 110,000 stars and 100+ self-contained Python projects you can clone, customize, and ship.
GitHub: Shubhamsaboo/awesome-llm-apps. Category: Tutorial.
6. everything-claude-code: 236,655 stars (8.7/10 editor rating) (+12,498 stars in July)
Everything Claude Code (ECC) by Affaan Mustafa is the most-starred meta-system for AI coding agent harnesses on GitHub.
GitHub: affaan-m/everything-claude-code. Category: Coding Assistant.
7. cc-switch: 122,941 stars (8.5/10 editor rating) (+11,623 stars in July)
cc-switch is a free, open-source desktop app that gives developers a single interface to install, switch between, and configure AI coding assistants: Claude Code, Codex, Gemini CLI, and Hermes Agent: along with MCP.
GitHub: farion1,231/cc-switch. Category: Claude ecosystem.
8. codex: 102,939 stars (8.5/10 editor rating) (+8,263 stars in July)
OpenAI Codex reached 73,674 GitHub stars in 2026: the terminal-first rival to Claude Code, backed by OpenAI with Apache-2.0 license and ChatGPT plan auth.
GitHub: openai/codex. Category: Vendor SDK.
9. skills: 165,485 stars (9.5/10 editor rating) (+8,451 stars in July)
Anthropic Agent Skills is the official reference with 112,252 stars: the most-forked Claude skills library on GitHub.
GitHub: anthropics/skills. Category: Coding Assistant.
10. codex-plugin-cc: 30,714 stars (8.2/10 editor rating) (+8,791 stars in July)
Official OpenAI integration that brings adversarial code reviews and background task delegation directly into your Claude Code terminal.
GitHub: openai/codex-plugin-cc. Category: Coding Assistant.
What this means for builders
The pattern across this month's biggest movers: momentum clusters around practical, focused tools rather than experimental research drops. A repo that pulls a month of sustained stars and forks is a stronger signal than a one-day GitHub-trending spike.
If you want a comprehensive view of every tool we cover, head to our repos index. New monthly digests publish on the 1st of each month.
Who this matters for
- Vibe Builders: Pick the repo with the highest editor rating in your stack category as your starting point.
- Developers: Use this list to prioritise which OSS repos to evaluate this month over generic GitHub trending feeds.
Harsh’s take
Monthly momentum cuts through the noise of daily GitHub trending. A repo that pulls sustained stars and forks across a full month is a stronger signal than a one-day spike. This list ranks July's biggest movers in our directory: the things builders are actively adopting, not just bookmarking.
Skim the editor ratings to triage which of these movers deserve a deeper look in your own workflow.
by harsh-desai
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