Local LLM
memmy-agent
One shared local memory hub so every AI agent remembers the same you.
★ 2.0k starsMIT
View guide →Reader — open source web infrastructure for ai. scrape, crawl, a, open-source.
reader is an open-source automation project by vakra-dev (vakra-dev/reader on GitHub). It has 559 GitHub stars and 41 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 19 August 2026.
Fetch the source code onto your machine.
Pull in the Node packages the app needs.
Copy the sample config or env file and adjust it.
Start the development or production server.
Built around ai for a focused workflow.
Built around ai agents for a focused workflow.
Built around ai crawler for a focused workflow.
Built around ai scraper for a focused workflow.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Get the source on your machine.
git clone https://github.com/vakra-dev/reader.gitInstall Node dependencies.
cd reader && npm installRun the application.
cd reader && npm startIt open source web infrastructure for AI. Scrape, crawl, and automate the web, clean markdown, browser sessions, ready for your agents, giving you a working starting point you can run and adapt.
Yes — the code is open-source, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in TypeScript, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
One shared local memory hub so every AI agent remembers the same you.
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