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Starred AI / Agent Repositories Over 10K Stars

This page summarizes the AI and agent-related repositories from your GitHub stars that currently have more than 10,000 GitHub stars. It is meant to answer a practical question: what does each repo actually add to a stack, when should it be used, and which ones are baseline additions versus situational choices.

Star counts below are from a GitHub API snapshot pulled on 2026-03-14 from your starred repositories. "Reputation" is an editorial assessment based on maintainer track record, institutional backing, and ecosystem trust, not a GitHub API field.

Quick take

Decision table

Repo Stars Reputation Core value Use when Default stance Best combinations
Significant-Gravitas/AutoGPT 182,452 Early category-defining OSS project; high name recognition, mixed practical fit Popularized autonomous-agent loops and agent-platform thinking You want to study agent history or need a broad autonomous-agent platform Situational Pair with mem0 and browser-use if you actually operationalize it
anomalyco/opencode 122,146 Strong breakout OSS coding-agent project Full coding-agent runtime with modern CLI workflow You want a serious open coding-agent environment rather than a prompt pack Situational primary stack Pair with upstash/context7, anthropics/skills, and browser-use
openai/whisper 95,946 Top-tier lab, widely trusted Speech-to-text layer for voice, meetings, media, and multimodal ingestion Your agent/app needs audio input or transcription Pair with others Pair with n8n, browser-use, or content pipelines
anthropics/skills 93,449 Top-tier lab; first-party reference Canonical reusable skill format and examples for Claude-centric workflows You are using Claude Code or Claude-based agents Always consider for Claude stacks Pair with obra/superpowers, anthropics/claude-cookbooks, and upstash/context7
obra/superpowers 83,255 High-signal solo maintainer with major ecosystem adoption Strong engineering process for coding agents: brainstorming, planning, TDD, review You want higher-quality agent output instead of raw speed Always consider for coding agents Pair with anthropics/skills, anthropics/claude-cookbooks, and your preferred coding agent
browser-use/browser-use 80,774 Established OSS agent-tool project Makes websites operable by agents when APIs are missing or insufficient The workflow depends on real browser interaction Pair with others Pair with Playwright, Tavily, and mem0
FlowiseAI/Flowise 50,749 Established OSS vendor in LLM tooling Visual builder for agents, RAG, and workflows You want a visual control plane rather than a pure-code framework Situational primary stack Pair with LocalAI, Supabase, or n8n
mem0ai/mem0 49,821 Focused startup with clear category fit Durable memory layer for agents Your agents need persistent user/task/project memory Pair with others Pair with browser-use, deer-flow, or coding agents
upstash/context7 49,032 Strong devtools company reputation Fresh documentation/context retrieval for LLMs and coding agents Agents need current library docs instead of stale model memory Always consider for coding agents Pair with opencode, Claude Code, and superpowers
ComposioHQ/awesome-claude-skills 44,053 Strong org and broad ecosystem presence Discovery index for Claude skill packs and workflow resources You want to survey the skills ecosystem quickly Pair with others Pair with anthropics/skills and superpowers
mudler/LocalAI 43,605 Well-known OSS local-AI project OpenAI-compatible local inference stack You want local/self-hosted inference with broad provider compatibility Situational primary stack Pair with llmfit, Flowise, and Supabase
msitarzewski/agency-agents 43,446 Strong community-maintained prompt/agent pack A packaged "AI agency" roster of specialist agents You want pre-shaped specialist roles for marketing/content/ops Situational Pair with n8n, Claude Code, and your own SOPs
anthropics/claude-cookbooks 34,951 Top-tier lab; first-party Concrete implementation examples for building with Claude You want to build with Claude from examples rather than guess from API docs Always consider for Claude stacks Pair with anthropics/skills and superpowers
google/langextract 34,701 Top-tier lab Structured extraction with grounding and visualization You need reliable extraction from unstructured text, not general chat Pair with others Pair with NotebookLM, Supabase, or document pipelines
karpathy/autoresearch 33,913 Top-tier individual researcher Minimal, research-oriented autonomous iteration loop You want to study compact research-agent loops Situational Pair with deer-flow ideas or Tavily
wshobson/agents 31,235 Strong solo maintainer with practical Claude Code focus Multi-agent orchestration and subagent workflows for Claude Code You want ready-made multi-agent structure on top of Claude Code Situational primary stack Pair with anthropics/skills, superpowers, and context7
bytedance/deer-flow 30,532 Top-tier product organization with strong AI engineering capability Researches, codes, and creates through a super-agent harness with tools, memories, and subagents You want a modern research/coding harness rather than a simple chatbot Situational primary stack Pair with Tavily, mem0, and browser-use
gsd-build/get-shit-done 30,028 Strong emerging org around spec-driven Claude workflows Meta-prompting and spec-driven development system for Claude Code You want a lighter-weight alternative to Superpowers-style rigor Situational Pair with anthropics/skills and context7
musistudio/claude-code-router 29,650 Strong community utility with clear operational value Model/provider routing layer for Claude Code You want to keep the Claude Code UX while swapping model backends or cost profiles Pair with others Pair with cc-switch, LocalAI, and OpenRouter
farion1231/cc-switch 28,132 Strong community desktop utility Desktop control plane for switching across Claude Code, Codex, OpenCode, OpenClaw, and Gemini CLI You actively use multiple coding agents and want one switchboard Pair with others Pair with claude-code-router and anthropics/skills
Fosowl/agenticSeek 25,504 Strong solo maintainer, local-first niche Fully local autonomous agent positioned as a local Manus-style system You want local-only autonomous browsing/coding without paid APIs Situational primary stack Pair with LocalAI, llmfit, and browser-use
googleworkspace/cli 20,276 Top-tier platform team Single CLI for Workspace automation across Drive, Gmail, Calendar, Docs, Sheets, Chat, and Admin Google Workspace is a core operating surface for your business Always consider for Workspace-heavy ops Pair with n8n, Gemini Canvas, and agent skills
stitionai/devika 19,495 Well-known open-source Devin-style project Open-source "agentic software engineer" stack You want a self-hosted autonomous SWE agent product surface Situational primary stack Pair with context7 and code-review guardrails
AlexsJones/llmfit 16,612 Strong individual utility maintainer Hardware/model fit calculator across many providers and models You need to know what can run on your machine before building locally Pair with others Pair with LocalAI, Ollama, or LM Studio
shanraisshan/claude-code-best-practice 16,043 Community-maintained playbook repo Practical conventions and prompts for using Claude Code more effectively You want field-tested workflow ideas without adopting a whole framework Pair with others Pair with superpowers or get-shit-done
plandex-ai/plandex 15,078 Focused OSS vendor Open-source AI coding agent aimed at real-world, large-project work You want a terminal-first coding agent designed for bigger codebases Situational primary stack Pair with context7, browser-use, and repo-specific planning conventions

What I would actually default to

Example company bundles

  • AI operations baseline: Claude skills + Superpowers + Context7 + n8n.
  • Research-heavy company: DeerFlow + Tavily + Browser Use + mem0 + Workspace CLI.
  • Local-first company: LocalAI + llmfit + Ollama + Flowise for internal tools and prototypes.

What not to overuse

  • Do not default to heavyweight autonomous-agent platforms such as AutoGPT, Devika, AgenticSeek, or DeerFlow unless the task truly needs end-to-end autonomy.
  • Do not use browser automation first when a stable API exists.
  • Do not add memory systems by default; memory is useful only when persistence beats complexity.
  • Do not confuse curated lists and best-practice repos with production architecture. They are accelerators, not substitutes for design.

Sources / references

Contribution Metadata

  • Last reviewed: 2026-03-14
  • Confidence: medium