Is this skill specifically for DeepSeek models?

While it is specifically tuned for DeepSeek's 64k context window, its pruning and hierarchical memory strategies are effective for any large language model.

Will I lose my conversation history during compaction?

No, important information is either summarized or moved to the searchable archive, ensuring that the 'memory' of the conversation remains intact even if the exact wording is pruned.

What is the hierarchical memory system?

It treats active context like RAM for fast access and older, compacted data like storage in a searchable archive, allowing the AI to retrieve snippets as needed.

How does Context Optimizer prevent context overflow?

It uses adaptive compaction strategies like semantic merging and extractive summarization to reduce message volume while preserving the core meaning and high-value data.

Context Optimizer

Name: Context Optimizer
Author: openclaw

byopenclaw

•

1,480

•

Developer Tools

Manages and optimizes AI context windows through intelligent pruning, auto-compaction, and hierarchical memory systems.

Context Optimizer is a specialized utility designed to maximize the efficiency of large language model context windows, specifically tuned for DeepSeek's 64k limit. It prevents context overflow and performance degradation by using intelligent semantic, temporal, and extractive compaction strategies to merge or summarize less relevant data. With its unique hierarchical memory system, it maintains a searchable archive of previous interactions, ensuring that high-value information remains accessible even when the active token limit is reached, making it an essential tool for long-running development sessions and complex project management.

Key Features

01Query-aware relevance scoring to prioritize critical conversation data

02Adaptive filtering that removes redundant or low-relevance information

03Hierarchical memory system with a searchable 100MB context archive

041,480 GitHub stars

05Real-time context health monitoring and optimization logging

06Intelligent auto-compaction using semantic and temporal strategies

Use Cases

01Maintaining long-running coding sessions without losing historical project context

02Managing large documentation sets within a single AI conversation thread

03Optimizing token usage for cost-efficiency in high-volume LLM interactions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add openclaw/skills ad2546

For use in Claude.ai and ChatGPT

Download Skill