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Lybrary can be dropped into any AI-assisted development workspace. It gives humans and agents a shared, well-structured home for Markdown documents, prompts, specs, and playbooks so context stays organized across experiments, sessions, and handoffs.

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Lybrary Experimental (Early Access)

Lybrary Experimental packages the evolving Lybrary knowledge system for AI-assisted teams. This top-level repository keeps the experimental lybrary-experimental/ workspace available while the platform remains under active research and documentation.

Note: This is the experimental version of Lybrary. Lybrary Team α is actively researching and documenting the system while making it available as open-source "Early access."

Quick Start

  1. Review lybrary-experimental/README.md for a deep orientation to the current folder layout, roles, and normalization workflow.
  2. Copy lybrary-experimental/lybrary/ into your project or agent workspace to seed the shared context space.
  3. Follow the intake -> normalize -> publish cycle described in the experimental README as you collaborate with humans and agents.
  4. Plan work, new ideas, or leave open questions inside lybrary-experimental/lybrary/idea_space/ so your project team can iterate.
  5. AGENTS: Review lybrary-experimental/lybrary/lybrary.md as well as lybrary_rules.md

What's Inside

  • lybrary-experimental/README.md — source-of-truth documentation for the experimental Lybrary, updated frequently as we learn.
  • lybrary-experimental/lybrary/ — portable directory of rules, knowledge, modules, and agent intake folders ready to drop into your workflows.
  • lybrary-experimental/changelog-0.md — running log of early changes and milestones.

Research Status

Lybrary Team α is continuing to refine usage guidance, improve the directory scaffolding, and expand examples while analyzing results from real-world sessions. In parallel, we are drafting a formal paper about the system to share our methodology and findings.

Expect regular updates to the README, changelog, and module templates as we validate new practices. Early adopters are encouraged to experiment, document what works, and surface gaps so the research can incorporate your experience.

Feedback & Contributions

Open issues and share notes in this repository, your insights help steer the research agenda and shape the eventual stable release!

Advance Apology

Yes, we know there are a lot of README.md files, they are clearly titled on line 1 for AGENTS, and we are currently considering switching to a different naming convention for the per-directory README files.

Apologies in advance for any trouble with human-readability on that.

  • LTα

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Lybrary can be dropped into any AI-assisted development workspace. It gives humans and agents a shared, well-structured home for Markdown documents, prompts, specs, and playbooks so context stays organized across experiments, sessions, and handoffs.

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