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Ecosystem

Top GitHub repos for Claude Code (May 2026)

  • Reference
  • Tooling

25 hand-picked GitHub repos that drive the Claude Code ecosystem forward: harness, awesome lists, memory, token optimization, multi-agents, plugins. Data verified on GitHub 2026-05-11.

TL;DR

  • The Claude Code ecosystem now exceeds 2 million cumulative stars across the 25 repos below (GitHub data as of 2026-05-11).
  • 8 categories cover the real needs: harness, awesome lists, plugins, memory, token optimization, multi-agents, templates, and system prompt leaks.
  • Three repos dominate their category: anthropics/claude-code (122k★ official), everything-claude-code (179k★ harness leader), x1xhlol/system-prompts-and-models-of-ai-tools (137k★ internals reference).
  • A dozen more stand out for their clearly identified niche rather than star count: claude-mem (memory), caveman (token reduction), graphify (knowledge graph), gstack (Garry Tan's templates).
  • List refreshed monthly. Dead or inactive repos (no commit in 90+ days) are removed.

Why this page exists

When an ecosystem explodes, you need a map. GitHub awesome lists (43k+ ★ each) are already great, but they list everything without prioritization. This page filters: we keep only repos that have both social traction (stars) and real-world usage value (clear description, recent commits, active community).

Each entry shows the GitHub star count measured on the day of publication. Numbers move fast (sometimes +10k★ per week on viral repos), so they're a rough order-of-magnitude signal, not absolute truth.

1. Harness & frameworks

"Harness" refers to the layer of prompts, skills, and hooks that turn Claude Code into a specialized assistant. The densest category.

RepoWhy it matters
anthropics/claude-code (ouvre un nouvel onglet)122,570The official Anthropic repo, source of truth for the CLI itself. GitHub issues + releases.
affaan-m/everything-claude-code (ouvre un nouvel onglet)179,423The leading harness: skills, instincts, memory, security, research-first. The most complete one.
forrestchang/andrej-karpathy-skills (ouvre un nouvel onglet)125,124A single CLAUDE.md derived from Karpathy's observations on LLM pitfalls. Required reading.
garrytan/gstack (ouvre un nouvel onglet)93,773Garry Tan's exact setup (Y Combinator): 23 opinionated tools, defined roles (CEO, designer, QA…).
shareAI-lab/learn-claude-code (ouvre un nouvel onglet)59,784"Bash is all you need" — a nano educational harness to understand how a CLI agent works.

2. Awesome lists & curation

The reference annuaire pages to discover the ecosystem. Bookmark these.

RepoWhy it matters
punkpeye/awesome-mcp-servers (ouvre un nouvel onglet)86,707THE reference list for MCP servers. Sorted by category.
ComposioHQ/awesome-claude-skills (ouvre un nouvel onglet)59,255Curation of public skills with usage examples.
hesreallyhim/awesome-claude-code (ouvre un nouvel onglet)43,382Global inventory: skills, hooks, slash-commands, agents, plugins.
sickn33/antigravity-awesome-skills (ouvre un nouvel onglet)37,1801,400+ installable skills for Claude Code, Cursor, Codex CLI, Gemini.

3. Plugins & marketplaces

The official Anthropic directory and community plugin ecosystems.

RepoWhy it matters
anthropics/claude-plugins-official (ouvre un nouvel onglet)19,104The official Anthropic-managed directory. Validated and maintained plugins.

4. Memory & persistent context

To avoid losing context between sessions, one of Claude Code's main native gaps.

RepoWhy it matters
thedotmack/claude-mem (ouvre un nouvel onglet)74,819Captures everything the agent does, compresses, replays at startup. The dominant pattern.
safishamsi/graphify (ouvre un nouvel onglet)46,618Turns a code folder into a queryable knowledge graph. Works with Cursor, Codex too.

5. Token optimization & cost

When the Anthropic bill climbs. Concrete patterns to reduce token consumption.

RepoWhy it matters
JuliusBrussee/caveman (ouvre un nouvel onglet)58,237The "why use many token when few token do trick" skill. Cuts 65% tokens by talking caveman.
musistudio/claude-code-router (ouvre un nouvel onglet)33,820Decides which model handles what based on context. Switches Haiku → Sonnet → Opus on the fly.

6. Multi-agents & orchestration

When a single agent isn't enough. Swarm, teams, and multi-Claude orchestration patterns.

RepoWhy it matters
ruvnet/ruflo (ouvre un nouvel onglet)49,014Leading multi-agent orchestration platform. Smart swarms and autonomous workflows.
wshobson/agents (ouvre un nouvel onglet)35,205Smart automation + multi-agent orchestration in Python.
Yeachan-Heo/oh-my-claudecode (ouvre un nouvel onglet)33,417Teams-first multi-agent orchestration (defined roles, explicit communication).

7. Templates & meta-prompting

Opinionated setups ready to clone.

RepoWhy it matters
gsd-build/get-shit-done (ouvre un nouvel onglet)61,537Meta-prompting + context engineering + spec-driven dev. Lightweight but powerful.
shanraisshan/claude-code-best-practice (ouvre un nouvel onglet)52,365"From vibe coding to agentic engineering" — pattern accumulation.
davila7/claude-code-templates (ouvre un nouvel onglet)27,168CLI to configure and monitor Claude Code. Fast bootstrap.
luongnv89/claude-howto (ouvre un nouvel onglet)32,369Visual guide with step-by-step examples and copy-paste templates.

8. System prompts & internals

To understand how Claude Code works under the hood. Essential for advanced prompting.

RepoWhy it matters
x1xhlol/system-prompts-and-models-of-ai-tools (ouvre un nouvel onglet)137,157THE reference leak: system prompts of Claude Code, Cursor, Devin, Junie, Lovable, etc.
asgeirtj/system_prompts_leaks (ouvre un nouvel onglet)40,039Extracted system prompts: ChatGPT, Claude Opus 4.7/4.6/Sonnet, Claude Code, Gemini.

How to use this

Three typical use cases:

  1. Deciding on a harness: start with everything-claude-code (most complete) or gstack (defined roles, simpler). Don't stack two different harnesses.
  2. Filling a specific gap: need memory? claude-mem. Need to cut the bill? caveman + claude-code-router. Need to orchestrate multiple agents? ruflo.
  3. Understanding internals: read system-prompts-and-models-of-ai-tools once, then revisit the patterns described in the awesome lists.

Next steps