RUNE Protocol: Save AI Session Memory Across Platforms

RUNE (Relational User Notation for Entities) is an open-source protocol that lets you save your entire AI relationship to a single encrypted file, solving the cold-start problem where AI assistants start each session with zero memory of previous interactions.
What RUNE Does
The protocol addresses the issue where every new Claude session requires re-introducing yourself, re-explaining preferences, and re-establishing communication style. With RUNE, you can save your identity profile and conversation history to one small encrypted file that works across platforms.
Key Features
- Saves identity profile and conversation history to encrypted .rune file
- Works across platforms (created with Claude, loadable on GPT, and vice versa)
- Two modes: LOAD FULL (resume everything) or LOAD FRESH (fresh topic but AI still knows you)
- Encrypted with your passphrase - nobody else can read it
- You own the file, not the platform
How It Works
At the end of a session, you ask Claude to create a .rune file. In the next session, you upload it and provide your passphrase. Claude instantly knows who you are, how you communicate, what you've been working on, and everything from previous sessions.
Development Details
The project was built with Claude Opus 4.6 as the primary collaborator over thousands of hours of sessions. Claude helped design:
- The JSONL file structure
- The identity kernel concept
- The append-only memory ledger
- The encryption layer
- The MAKE/LOAD/APPEND lifecycle
Claude also wrote the research paper, created the README, validated cross-platform compatibility, and discovered an emergent self-healing property where drift corrections in one session automatically fix errors in subsequent loads. GPT-5.4 served as peer reviewer.
Technical Specifications
- Tested on Claude Opus 4.6, Claude Sonnet 4.6, GPT-5.2, and GPT-5.4
- Cross-platform verified
- Free and open source with no paid tiers
- GitHub repository includes copy-paste prompts for immediate use
- Includes plain-language PDF explainer alongside research paper
Resources
- GitHub: https://github.com/TooCas/RUNE
- Paper: https://doi.org/10.5281/zenodo.19378687
📖 Read the full source: r/ClaudeAI
👀 See Also

Qwen 3.6 27B Quantization Benchmark: Q4_K_M Beats Q8_0 on Practical Tradeoffs
Evaluated Qwen 3.6 27B across BF16, Q4_K_M, and Q8_0 GGUF quants on HumanEval, HellaSwag, and BFCL. Q4_K_M delivers near-BF16 scores with 48% less RAM, 1.45x speed, and 68.8% smaller file size.

Lumyr: Dashboard Generation via Claude with Python and Streamlit Automation
Lumyr is a tool that generates live, shareable dashboards from plain English descriptions using Claude for dashboard generation and automating the Python and Streamlit layer. Users don't need to write Python, open Streamlit, deploy, set up hosting, or manage infrastructure.

StarSteady: AI-Powered Google Review Responses and SMS Requests for Local Businesses
StarSteady is a solo-built SaaS that generates AI-crafted responses to Google/Yelp reviews and sends SMS review requests to customers, starting at $39/month with a 5-response/5-SMS free trial.

Automating Claude Desktop Release Notes from Minified Electron Apps
A developer created an automated pipeline using Claude Sonnet and Opus 4.6 to generate release notes for Claude Desktop on Linux, addressing the lack of official release notes from Anthropic. The system extracts, normalizes, and analyzes minified Electron app code as part of a CI/CD workflow.