compact-framework
CommunityTurn long Telegram threads into concise memories.
Software Engineering#ripgrep#telegram#openclaw#memory-distillation#compact-framework#ram-aware#multi-tier-storage
Authorjannolan200211-ship-it
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Long Telegram threads explode in token usage, making it difficult to locate critical decisions, tasks, and context after hours of discussion.
Core Features & Use Cases
- Distills long threads into a structured, searchable Warm Memory while preserving essential decisions, tasks, and metadata
- RAM-aware processing: selects cloud or local AI based on available memory to prevent resource exhaustion
- Integrates with memory-librarian for cross-skill workflows and multi-tier storage (Hot/Warm/Cold)
Quick Start
Run the distillation workflow on a Telegram thread to generate a compact, searchable memory containing only critical decisions and tasks.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: compact-framework Download link: https://github.com/jannolan200211-ship-it/my-cosmos-backup/archive/main.zip#compact-framework Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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