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    Post Lists 7 GitHub Repos for AI Agent OS

    User highlights tools including GBrain for persistent agent memory with millions of entries.

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    K.
    2 Sources, 28d ago, first seen 28d ago

    TLDR

    A tweet by @mr_kozh states it found seven GitHub repositories that together turn one AI agent into an operating system. Each repository is described as fixing a different part of the stack. The first listed is GBrain for memory, said to hold 155K+ pages along with records on 24K+ people and 5K+ companies to supply agents with context from meetings, emails, and notes. The post includes an infographic titled THE AI OS STACK. The tweet was retweeted by @garrytan, President and CEO of Y Combinator.

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    2 Sources, first seen 28d ago

    Combined views

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    2 Sources, first seen 28d ago

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    4 comments
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    2 Sources

    @mr_kozhI FOUND 7 GITHUB REPOS THAT TURN ONE AI AGENT INTO AN ENTIRE OPERATING SYSTEM not 7 random tools. each one fixes a different part of the stack. 1. GBrain → MEMORY 155K+ pages, 24K+ people, 5K+ companies. it gives your agents one persistent brain for meetings, emails, notes, people and company context. https://github.com/garrytan/gbrain 2. OmniRoute → MODELS 1,200+ models across hundreds of providers behind one endpoint. Claude for reasoning, Gemini for context, DeepSeek for cheaper tasks, Grok when freshness matters. the agent does not need to be locked to one model. https://github.com/diegosouzapw/OmniRoute 3. Free Claude Code → COMPUTE 50+ providers and a claimed 1.3B+ free tokens/month across available free tiers. Claude Code, Codex and OpenCode can all pull from the same pool. https://github.com/Alishahryar1/free-claude-code 4. Agent Reach → INTERNET gives the agent tools for finding information across X, Reddit, GitHub and the broader web instead of waiting for you to paste links into chat. https://github.com/Panniantong/Agent-Reach 5. Last30Days → RESEARCH one skill focused on recent information. it searches the last 30 days, collects what changed and hands the useful context back to the agent. https://github.com/mvanhorn/last30days-skill 6. Archify → CODEBASE point it at a repository and it turns the project into interactive architecture, workflow, sequence and data-flow maps. Claude Code, Codex or Cursor can understand the system before touching it. https://github.com/tt-a1i/archify 7. Ponytail → QUALITY CONTROL a coding skill built around one rule: write less code. less abstraction, less overengineering, fewer unnecessary files. https://github.com/DietrichGebert/ponytail put them together and the architecture starts looking very different: MEMORY → ROUTING → COMPUTE → RESEARCH → CODEBASE → REVIEW one agent remembers the company. one layer picks the model. another finds fresh information. another understands the code. another stops the agent from building garbage. the model is only one worker now. the real product is the system around it.
    @garrytanRT @mr_kozh: I FOUND 7 GITHUB REPOS THAT TURN ONE AI AGENT INTO AN ENTIRE OPERATING SYSTEM not 7 random tools. each one fixes a different…

    2 Sources

    @mr_kozhI FOUND 7 GITHUB REPOS THAT TURN ONE AI AGENT INTO AN ENTIRE OPERATING SYSTEM not 7 random tools. each one fixes a different part of the stack. 1. GBrain → MEMORY 155K+ pages, 24K+ people, 5K+ companies. it gives your agents one persistent brain for meetings, emails, notes, people and company context. https://github.com/garrytan/gbrain 2. OmniRoute → MODELS 1,200+ models across hundreds of providers behind one endpoint. Claude for reasoning, Gemini for context, DeepSeek for cheaper tasks, Grok when freshness matters. the agent does not need to be locked to one model. https://github.com/diegosouzapw/OmniRoute 3. Free Claude Code → COMPUTE 50+ providers and a claimed 1.3B+ free tokens/month across available free tiers. Claude Code, Codex and OpenCode can all pull from the same pool. https://github.com/Alishahryar1/free-claude-code 4. Agent Reach → INTERNET gives the agent tools for finding information across X, Reddit, GitHub and the broader web instead of waiting for you to paste links into chat. https://github.com/Panniantong/Agent-Reach 5. Last30Days → RESEARCH one skill focused on recent information. it searches the last 30 days, collects what changed and hands the useful context back to the agent. https://github.com/mvanhorn/last30days-skill 6. Archify → CODEBASE point it at a repository and it turns the project into interactive architecture, workflow, sequence and data-flow maps. Claude Code, Codex or Cursor can understand the system before touching it. https://github.com/tt-a1i/archify 7. Ponytail → QUALITY CONTROL a coding skill built around one rule: write less code. less abstraction, less overengineering, fewer unnecessary files. https://github.com/DietrichGebert/ponytail put them together and the architecture starts looking very different: MEMORY → ROUTING → COMPUTE → RESEARCH → CODEBASE → REVIEW one agent remembers the company. one layer picks the model. another finds fresh information. another understands the code. another stops the agent from building garbage. the model is only one worker now. the real product is the system around it.
    @garrytanRT @mr_kozh: I FOUND 7 GITHUB REPOS THAT TURN ONE AI AGENT INTO AN ENTIRE OPERATING SYSTEM not 7 random tools. each one fixes a different…