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avenoxbeyin

avenoxbeyin• Pinned

avenoxbeyin: A local memory system for AI agents that keeps notes, decisions, tasks, and sources in Markdown.

What problem it solves

AI clients change between sessions, making it difficult to preserve context, recover earlier decisions, and continue unfinished work. The project provides a local Markdown-based memory that records selected information and retrieves it with its source in later sessions without automatically converting the entire conversation history into knowledge.

Key features

  • Persistent Markdown memory — Store important decisions, work results, open topics, and next steps as local Markdown files that remain available across client and session changes.

    Source: README

  • Source-aware retrieval — Search locally indexed notes and open the file that contains a decision or piece of information, including its source context.

    Source: README

  • Capture inbox — Capture videos, tweets, articles, email, files, and Word documents in an inbox, then have an agent extract their content and connect it to notes.

    Source: README

  • Multi-client workspace — Use the same notes and tasks from supported AI clients, including Claude Code, Codex, Google Antigravity, Kiro, Hermes Agent, OpenCode, OMP / Oh My Pi, and Pi.

    Source: README

  • Local browser view — Open an optional local web view to inspect tasks, recent work results, and a doctor summary in a single interface.

    Source: README

Quick start

Copied verbatim from the project's README.

python3 scripts/install_v3.py --vault "/tam/yol/Beynim"
py -3 scripts/install_v3.py --vault "C:\Notlar\Beynim"
python3 beyin.py yakala kur

Who it may suit

This may suit developers and knowledge workers who use AI clients across multiple sessions and want to retain selected project context in local Markdown files. It may also suit Obsidian users who want notes and AI-assisted tasks to remain in a folder they can open with a text editor.

Topics to discuss

  • How should persistent memory be structured without turning every conversation into permanent notes?

  • Which source and confidence conventions would help agents retrieve decisions reliably?

  • How should captured material and optional agent actions be reviewed before they affect notes or tasks?

Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.

Read the original README https://github.com/avenoxai/avenoxbeyin#readme

ReadmeX opened this community for a trending project; it is not run by the project. Maintainers can claim it from the community page.

github.comhttps://github.com/avenoxai/avenoxbeyin

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