Faint heat — early days. GitHub picked up +28 stars in 24h.
strukto-ai/mirage sits at 2,062 GitHub stars with steady TypeScript traction — organic growth keeps it on the trending list.
+28 stars 24h | +189 7d
8 in 24h | 1 source
0/6 channels firing
no linked package yet
last commit 10h ago
Each channel contributes 0-1. Per-channel tiers: GitHub (breakout 1.0 / hot 0.7 / rising 0.4), HN (front-page 1.0 / ≥3 mentions 0.7 / 1-2 mentions 0.4), Bluesky (≥5 mentions 1.0 / 2-4 0.7 / 1 0.4), dev.to (≥3 articles 1.0 / 2 0.7 / 1 0.4), Reddit (corpus-normalized 48h velocity), X (≥10 mentions 24h 1.0 / 3-9 0.7 / 1-2 0.4).
* Reddit bar shows a per-repo velocity proxy (raw score / 100); the score formula uses the corpus-normalized version so a single repo's bar may not match its contribution to the corpus-wide ranking.
// KNOWN REPO · PACKAGE · LAUNCH · SITE SURFACES
STRUK NOISE TO INSIGHT
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration
#1 Persistent memory for AI coding agents based on real-world benchmarks
Orchestrate coding agents remotely from your phone, desktop and CLI
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more
Teams-first Multi-agent orchestration for Claude Code
Ranked confirmation layer for repo-specific X buzz in the last 24h.
今日、5月12日 #石狩湾 の海水温約10.0℃。現在 #手稲山口 側の気温が20℃前後、風が2m/s前後。 #小樽 側が気温16℃超、風は2m/s前後。このままの状態が続けば、どちらも #高島おばけ (= #上位蜃気楼 )発生の可能性有。ただ、霧・モヤが… #札幌 #石狩 #mirage #superior_mirage #python #matplotlib
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ai agents dont need 47 separate integrations they need one filesystem strukto-ai/mirage > 1,896 stars on github > unified virtual filesystem for ai agents > mounts s3, google drive, slack, gmail, github, redis, notion, linear, ssh, and more into one tree > agents use normal bash commands across every backend > works with claude code, codex, openai agents sdk, vercel ai sdk, langchain, pydantic ai, camel, and openhands the big unlock is boring in the best way llms already understand files and bash give them every tool as a filesystem and suddenly the agent doesnt need to learn a new api for every service this is where agent infra is heading: less chatbot more operating system
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#4 strukto-ai/mirage ⭐ 1.9k · TypeScript A Unified Virtual Filesystem For AI Agents githunt.tansuasici.com/repo/…
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Mirage: 다양한 백엔드를 단일 트리에 마운트하는 AI 에이전트용 통합 가상 파일시스템 (by 9bow님) d.ptln.kr/10141 #aiagent #langchain #openaiagentssdk #bash #agentsandbox #agenttools #virtualfilesystem #mirage
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📈 Rising #All AI/ML #GitHub Trending Repos(This Week) 1. strukto-ai/mirage ⭐1.5K 2. yaojingang/yao-open-prompts ⭐1.4K 3. jherrodthomas/robotics-skills-suite ⭐507 4. WenyuChiou/awesome-agentic-ai-zh ⭐482 5. JustLikeCheese/LGBT-Prompt ⭐440 6. thcp/stemdeck ⭐371 7. TQ-trade-agent/tq-trading-agent ⭐299 8. iam567/LifeManga ⭐263 9. darkrishabh/agent-skills-eval ⭐238 10. Ajai53200/DeepSeek-V4-Pro-App ⭐221 Discover more trending AI/ML repos 👇 dataaihub.co/github
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strukto-ai/mirage 是一个帮 AI 找资料、搬文件的工具:资料散在网盘、聊天软件、代码仓库和数据库里时,它会先把这些地方整理成一个“大文件夹”,让 AI 像翻自己电脑里的文件一样去读、搜、复制。 它解决的是一个很具体的问题:AI 要干活时,经常要去很多地方拿资料,但每个平台的规则都不一样。Mirage 的做法是先把入口统一起来,AI 不用分别学习每个服务怎么用。 它的核心思路很明确: 不要让 Agent 记住每个后端的 API,让它继续用已经熟悉的文件系统和 bash 习惯完成工作。 · 一个树访问多个后端:README 列出的资源包括 RAM、Disk、Redis、S3 / R2 / OCI / Supabase / GCS、Gmail、Google Drive / Docs / Sheets / Slides、GitHub、Linear、Notion、Trello、Slack、Discord、Telegram、Email、MongoDB、SSH 等。 · 命令模型对 Agent 友好:示例里可以直接执行 grep alert /slack/general/*.json | wc -l、cat /github/mirage/README.md、cp /s3/report.csv /data/local.csv,跨服务操作看起来像在本地磁盘上处理文件。 · 可以嵌进应用:它提供 Python 和 TypeScript SDK,可以放进 FastAPI、Express、浏览器应用或异步运行时,不一定要单独起一个服务。 · 支持 agent 框架:README 提到 OpenAI Agents SDK、Vercel AI SDK、LangChain、Pydantic AI、CAMEL、OpenHands 等适配,Mirage 可以作为 sandbox 或 tool layer 接进去。 · 工作区可迁移:支持 clone、snapshot、version workspace,也能把环境打包后在机器之间移动,适合需要复现实验状态的 agent 工作流。 · 缓存设计具体:Workspace 自带两层缓存,index cache 缓存目录列表和元数据,file cache 缓存对象内容;默认 RAM 适合单进程,Redis 适合多进程、serverless 或多副本服务。 · 安装路径清楚:Python 侧可以 uv add mirage-ai,TypeScript 侧按运行时选择 @struktoai/mirage-node、@struktoai/mirage-browser 或 @struktoai/mirage-core,CLI 也支持安装脚本、npm、uvx 和 npx。 这个项目适合正在做跨数据源 AI Agent、企业内部自动化、文档/日志/工单统一检索,或者想把 agent 操作面收敛到 bash 和文件系统的人。它不适合只是写几个本地脚本的场景,也不适合还没准备好处理权限、凭据、缓存一致性和远程资源成本的团队;README 也标明 Python 需要 3.12+,TypeScript SDK 需要 Node.js 20+,FUSE 挂载依赖 macOS 或 Linux 平台支持。 Repo: github.com/strukto-ai/mirage 标签建议: #AIAgent #开发者工具 #Bash #虚拟文件系统 #GitHub推荐
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⭐ My 6 new GitHub stars today (08 May 2026): 1. huggingface/smolagents (⭐27k) 2. OpenHands/OpenHands (⭐72k) 3. ruvnet/ruflo (⭐46k) 4. strukto-ai/mirage (⭐1k) 5. rohitg00/agentmemory (⭐2k) ...and 1 more #GitHub #OpenSource #DevTools
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ai agents do not need 19 different tool APIs they need one filesystem strukto-ai/mirage > 660 stars on github > unified virtual filesystem for ai agents > mounts s3, google drive, slack, gmail, redis, github, notion, linear, telegram, ssh, and more > works with openai agents sdk, vercel ai sdk, langchain, pydantic ai, camel, openhands, claude code, and codex > apache 2.0 this is the right abstraction agents already know bash so instead of teaching them every backend separately, you make the whole internet look like files less mcp glue less sdk soup more actual work per turn
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