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Contents

GitHub
AI Client·2025
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Summarize

steipete·Peter Steinberger

Generates summaries from URLs, YouTube videos, podcasts, PDFs, and local audio or video files. Backend-agnostic by design: the same pipeline drives local coding CLIs (Claude, Codex, Gemini) or hosted API providers (OpenAI, Google, xAI).

#ocr#audio#video#ai-tools#github+3
GitHub
AI Infra·2025
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OpenSandbox

Alibaba

Runs untrusted AI-agent code, commands, and file operations inside isolated sandboxes that scale from local Docker to Kubernetes. One Sandbox Protocol unifies both runtimes, with gVisor, Kata, and Firecracker isolation and SDKs across five languages.

#alibaba#github#docker#ai-agent#security+3
GitHub
AI API·2025
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Sub2API

Wesley Liddick

Gateway that pools multiple AI subscription accounts and issues platform API keys while handling authentication, token-level billing, load balancing, rate limits, and per-user/account concurrency—enables shared subscriptions for Claude, OpenAI, Gemini and Grok.

#ai-api#ai-api-management#mLOps#ai-deploy#go+4
GitHub
AI Client·2025
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Context Hub

andrewyng

CLI (chub) that lets coding agents search, fetch, and annotate curated, versioned API docs and agent skills — agents read inspectable, language-specific docs instead of noisy web search. Features: incremental fetch, local annotations, feedback-to-maintainers.

#github#cli#nodejs#ai-tools#ai-client+2
GitHub
AI Client·2025
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Recursive Language Models (RLMs)

Alex L. Zhang, Tim Kraska +1

Provides a plug-and-play inference engine that lets language models programmatically inspect, decompose, and recursively call themselves to handle very long contexts; supports local and cloud REPL sandboxes, multiple LLM backends, and trajectory logging/visualization.

#llm#nlp#ai-inference#ai-client#vllm+3
GitHub
AI Agent Tutorials·2025
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Agent Skills for Context Engineering

Muratcan Koylan

Fifteen reusable agent skills for curating LLM context windows, treating attention decay—not token capacity—as the real constraint. A routing layer benchmarked at 0.92 top-1 accuracy selects the right skill for each task.

#agent-skills#ai-agent#LLM#plugin#claude-code+3
GitHub
AI Client·2025
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HAPI

tiann

Run official Claude Code/Codex/Gemini/OpenCode coding sessions locally and control them remotely via Web/PWA/Telegram — local-first workflow with seamless handoff between local and remote, AFK approvals from phone, voice assistant, and multi-agent CLI support.

#claude-code#codex#gemini-cli#opencode#ai-client+3
GitHub
AI Agent·2025
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Open Agents

Vercel Labs

Runs LLM-driven coding agents as durable workflows on Vercel, orchestrating isolated sandbox VMs for repo work, shell and file tools, and optional auto-commit/PR flows — designed for cloud-hosted, resumable developer automation.

#agent-skills#ai-agent#ai-coding#gitHub#nodejs+5
GitHub
AI Coding·2025
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Plannotator

backnotprop

Provides a visual plan-and-code review UI that lets humans annotate, approve, or send structured feedback to coding agents and PR diffs. Integrates with Claude Code, OpenCode, Copilot CLI, Pi and Codex; supports encrypted short-link sharing and self-hosting.

#ai-coding#plugin#claude-code#opencode#codex+5
GitHub
AI Agent·2025
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DeepTutor

Data Intelligence Lab @ HKU (HKUDS)

Provides an agent-native personalized tutoring platform that combines persistent TutorBots, RAG-powered knowledge bases, and a CLI-first workflow. Designed for extensible agent skills, multi-channel deployment, and long-term learner memory.

#agent-skills#RAG#python#cli#docker+5
GitHub
AI Coding Tutorials·2025
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Easy-Vibe

Datawhale (Datawhale China), Sanbu (project lead) +6

A step-by-step, beginner-first programming course that teaches 'vibe coding'—conversational workflows to turn ideas into AI-enabled web and full‑stack prototypes. Features interactive simulated coding, multi-language docs, stage-based projects (from simple demos to SaaS capstones) and advanced agent/Claude Code guidance.

#vibe-coding#course#ai-coding#github#multilingual+3
GitHub
AI Agent·2025
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Skills Public

Dimillian

Collection of self-contained Codex skills that automate recurring engineering tasks (many Apple-platform focused): release-note generation, iOS debugging, SwiftUI audits, multi-agent review and bug-hunt workflows. Best when integrated into Codex-driven developer tooling.

#agent-skills#codex#gitHub#ai-agent#ai-coding+2
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