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A human-curated, CLI-driven Context Layer for AI agents

A human-curated, CLI-driven Context Layer for AI agents

by anatoliikmt·Feb 25, 2026·2 points·0 comments
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AI Analysis

●●SolidCozyShip It

Human-curated context beats auto-RAG, but folders-as-context is a solved workflow pattern.

Strengths
  • •Explicit human curation sidesteps context rot and opaque embedding drift that plagues auto-RAG
  • •Symlink-based architecture keeps context separate from repo, reusable across projects and agents
  • •Agent-agnostic design works with Cursor, Claude, and future tools without lock-in
Weaknesses
  • •Folders + YAML as context management is not novel: documentation wikis and Obsidian vaults already do this
  • •Early adoption: no evidence of scale or integrations beyond manual CLI usage; unclear DX advantage over README + structured comments
Target Audience

AI-first developers, prompt engineers, founders optimizing LLM development workflows

Similar To

Obsidian vault · Notion workspace · Anthropic Docs/context best practices

Post Description

The Context Layer is my take on treating context as a first-class, external layer that exists and evolves alongside your codebase. It's an agent-agnostic CLI tool designed for keeping long-lived project context structured and accessible across projects.

It's intentionally human-curated - nothing is auto-collected or inferred. The goal is control, granularity, and explicit structure rather than embeddings or opaque memory systems.

I've been using it across a few projects so far. Curious to hear from others experimenting with AI-assisted workflows!

Website: https://ctxlayer.dev/

Tutorial: https://ctxlayer.dev/docs/

GitHub: https://github.com/anatoliykmetyuk/ctxlayer

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