Anchormd: A Tool for Managing Context Across Claude AI Sessions

Anchormd is a tool designed to solve the problem of context loss when working with Claude AI across multiple sessions. The developer behind it was frustrated with constantly re-explaining project architecture at the start of every session in both Claude chat and Claude Code.

The Problem with Existing Approaches

Previous attempts included giant system prompts, CLAUDE.md files, and pasting documentation directly. These approaches had the same fundamental issue: either they used too much context (burning tokens) or provided too little context (leading to wrong assumptions by the agent).

How Anchormd Works

Anchormd takes a different approach. You write short curated markdown plans describing your architecture and key decisions. The tool indexes these into a searchable knowledge graph. At the start of each session, the agent loads the project overview and then queries for specific details as needed.

Workflow

• Plan a feature in conversation with Claude
• Save it with: anchormd write auth-system
• In the next session, Claude automatically loads the project overview
• When it needs specifics, it runs: anchormd find "how does auth work" and gets back the exact plan section

Key Differentiators from a Docs Folder

• Real search capabilities using BM25 + semantic + hybrid search
• Auto-discovers relationships between plans through entity extraction (shared files, models, routes)
• Supports deep linking into sections

Claude Code Integration

For Claude Code specifically, Anchormd ships with a SKILL.md file so the skill is available immediately.

Availability

The tool is free and open source, available at https://github.com/sultanvaliyev/anchormd.

Future Considerations

The developer is considering adding auto-staleness detection for plans and is seeking feedback on real pain points from users.