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Welcome to GitHub repos. Here you'll find valuable information on the latest trending projects. Subscribe to stay informed and gain insights from the thriving GitHub community.

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📈 Analytical overview of Telegram channel GitHub repos

Channel GitHub repos (@github_repos) in the English language segment is an active participant. Currently, the community unites 27 910 subscribers, ranking 4 767 in the Technologies & Applications category and 14 212 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 27 910 subscribers.

According to the latest data from 29 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 461 over the last 30 days and by 22 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 5.42%. Within the first 24 hours after publication, content typically collects 2.63% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 513 views. Within the first day, a publication typically gains 733 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
  • Thematic interests: Content is focused on key topics such as fork, typescript, claude, arbitrage, cli.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Welcome to GitHub repos. Here you'll find valuable information on the latest trending projects. Subscribe to stay informed and gain insights from the thriving GitHub community.”

Thanks to the high frequency of updates (latest data received on 30 October, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

27 910
Subscribers
+2224 hours
+1027 days
+46130 days
Posts Archive
obdev/littlesnitch-linux Open Source components of Little Snitch for Linux Language: Rust Stars: 655 Issues: 3 Forks: 21 https://github.com/obdev/littlesnitch-linux

hexiecs/talk-normal Make any LLM talk like a normal person. A system prompt that removes AI slop. Language: Shell Stars: 757 Issues: 0 Forks: 18 https://github.com/hexiecs/talk-normal

momenbasel/PureMac Free, open-source macOS cleaner. CleanMyMac alternative with zero telemetry. Native SwiftUI, scheduled auto-cleaning, Xcode/Homebrew/system cache cleanup. MIT licensed. Language: Swift #cache_cleaner #cleanmymac #cleanup #disk_cleaner #disk_space #homebrew #mac_utility #macos #macos_app #macos_cleaner #macosx #native #oss #osx #privacy #swift #swiftui #system_cleaner #xcode_cleaner Stars: 1153 Issues: 17 Forks: 54 https://github.com/momenbasel/PureMac

coleam00/claude-memory-compiler Give Claude Code a memory that evolves with your codebase. Hooks automatically capture sessions, the Claude Agent SDK extracts key decisions and lessons, and an LLM compiler organizes everything into structured, cross-referenced knowledge articles - inspired by Karpathy's LLM Knowledge Base architecture. Language: Python Stars: 630 Issues: 11 Forks: 170 https://github.com/coleam00/claude-memory-compiler

vyfor/rattles 🪇 Minimal terminal spinners for Rust Language: Rust #animation #cli #no_std #ratatui #rattles #rust #spinner #spinners #terminal #tui Stars: 680 Issues: 1 Forks: 13 https://github.com/vyfor/rattles

AgriciDaniel/claude-obsidian Claude + Obsidian knowledge companion. Persistent, compounding wiki vault based on Karpathy's LLM Wiki pattern. /wiki /save /autoresearch Language: Shell #ai #claude_code #claude_code_skill #knowledge_management #obsidian #open_source #second_brain Stars: 746 Issues: 2 Forks: 71 https://github.com/AgriciDaniel/claude-obsidian

joeynyc/hermes-hudui Web UI consciousness monitor for Hermes — the AI agent with persistent memory Language: Python Stars: 750 Issues: 6 Forks: 79 https://github.com/joeynyc/hermes-hudui

kessler/gemma-gem Gemma Gem runs Google's Gemma 4 model entirely on-device via WebGPU — no API keys, no cloud, no data leaving your machine. Language: TypeScript #ai #chrome_extension #gemma4 #gemma4_2b #gemma4_agent_skills #llm Stars: 648 Issues: 6 Forks: 60 https://github.com/kessler/gemma-gem

xtclovver/RKNHardering Language: Kotlin Stars: 688 Issues: 10 Forks: 35 https://github.com/xtclovver/RKNHardering

nashsu/llm_wiki LLM Wiki is a cross-platform desktop application that turns your documents into an organized, interlinked knowledge base — automatically. Instead of traditional RAG (retrieve-and-answer from scratch every time), the LLM incrementally builds and maintains a persistent wiki from your sources。 Language: TypeScript Stars: 739 Issues: 7 Forks: 93 https://github.com/nashsu/llm_wiki

yizhiyanhua-ai/fireworks-tech-graph Claude Code skill for generating production-quality SVG+PNG technical diagrams. Supports 8 diagram types, 5 visual styles, and deep AI/Agent domain knowledge. Language: Shell Stars: 1150 Issues: 0 Forks: 85 https://github.com/yizhiyanhua-ai/fireworks-tech-graph

wxtsky/CodeIsland Language: Swift Stars: 803 Issues: 12 Forks: 89 https://github.com/wxtsky/CodeIsland

Houseofmvps/codesight Universal AI context generator. Saves thousands of tokens per conversation in Claude Code, Cursor, Copilot, Codex, and more. Language: TypeScript #ai #claude #cli #code_analysis #codebase #codex #context_engineering #copilot #cursor #developer_tools #llm #mcp #repo_map #token_savings Stars: 813 Issues: 0 Forks: 76 https://github.com/Houseofmvps/codesight

phuryn/claude-usage A local dashboard for tracking your Claude Code token usage, costs, and session history. Pro and Max subscribers get a progress bar. This gives you the full picture. Language: Python #claude_code Stars: 818 Issues: 9 Forks: 118 https://github.com/phuryn/claude-usage

garrytan/gbrain Garry's Opinionated OpenClaw/Hermes Agent Brain Language: TypeScript Stars: 3293 Issues: 10 Forks: 362 https://github.com/garrytan/gbrain

PrathamLearnsToCode/paper2code Agent skill to turn any arxiv paper into a working implementation Language: Python #agent #claude_code #skills Stars: 813 Issues: 1 Forks: 104 https://github.com/PrathamLearnsToCode/paper2code

hilash/cabinet AI-first knowledge base and startup OS Language: TypeScript Stars: 1003 Issues: 14 Forks: 95 https://github.com/hilash/cabinet

mattmireles/gemma-tuner-multimodal Fine-tune Gemma 4 and 3n with audio, images and text on Apple Silicon, using PyTorch and Metal Performance Shaders. Language: Python Stars: 1068 Issues: 8 Forks: 61 https://github.com/mattmireles/gemma-tuner-multimodal

Keychron/Keychron-Keyboards-Hardware-Design All the industrial design files for Keychron keyboards and mice. Includes CAD models (case, plate, stabilizer, encoder, keycap) for Q, Q Pro, Q HE, K Pro, K Max, K HE, V Max, P HE series and M1–M7 mice. 100+ models. STEP/DXF/PDF formats. This project is source-available. Commercial use is strictly prohibited. Language: Python #3d_printing #cad #gaming #gaming_keyboard #gaming_mouse #hardware_designs #keyboard #keyboard_firmware #keychron #mechanical_keyboard #mouse #qmk #qmk_firmware #zephyr #zmk #zmk_firmware Stars: 1310 Issues: 4 Forks: 99 https://github.com/Keychron/Keychron-Keyboards-Hardware-Design

fikrikarim/parlor On-device, real-time multimodal AI. Have natural voice and vision conversations with an AI that runs entirely on your machine. Powered by Gemma 4 E2B and Kokoro. Language: HTML #apple_silicon #gemma #kokoro #litert_lm #local_llm #mlx #multimodal #on_device_ai #python #real_time #speech_recognition #text_to_speech #voice_assistant Stars: 1183 Issues: 3 Forks: 114 https://github.com/fikrikarim/parlor