clawpressorCompress OpenClaw session context to reduce token usage and extend session lifetime. Uses NLP summarization (Sumy) to intelligently compact conversation history while preserving essential context. Triggers on mentions of session compression, token reduction, context cleanup, or when session size exceeds safe thresholds (~300KB). Use when (1) OpenClaw approaches 50% context limit, (2) Sessions are slowing down due to large context, (3) Reducing API costs from excessive token consumption, (4) Extending session lifetime without forced reboots.
Install via ClawdBot CLI:
clawdbot install beboxos/clawpressorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 11, 2026
Compresses session context when chatbots handle long conversations, reducing API token usage and extending session life without losing key customer details. Ideal for high-volume support teams to cut costs and maintain performance during peak hours.
Summarizes lengthy legal discussions and document reviews to keep session sizes manageable, preserving recent queries while condensing historical context. Helps law firms optimize token consumption during extended research sessions.
Compresses session history in AI tutors to handle multi-hour study sessions, reducing slowdowns and token costs while retaining essential learning context. Useful for online education providers to scale personalized tutoring efficiently.
Maintains session performance by compressing patient interaction history, ensuring fast responses and lower API expenses without compromising critical health data. Supports telehealth services in managing long-term patient consultations.
Optimizes session context for AI advisors handling complex financial planning discussions, reducing token usage and extending session duration. Beneficial for fintech companies to offer continuous, cost-effective advisory services.
Offers the compression tool as a cloud-based service with tiered pricing based on usage volume, targeting businesses using AI agents to reduce operational costs. Generates recurring revenue through monthly or annual subscriptions.
Provides custom integration and optimization services for enterprises deploying AI agents, helping them implement compression to maximize efficiency. Revenue comes from project-based fees and ongoing support contracts.
Distributes the core tool as open-source under MIT license, while offering premium features like advanced analytics or priority support for a fee. Monetizes through upselling to power users and large organizations.
💬 Integration Tip
Integrate into existing workflows by adding compression checks to routine maintenance scripts, such as daily cron jobs, to automate session optimization without manual intervention.
Scored Apr 19, 2026
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
Chat with Grok models via xAI API. Supports Grok-3, Grok-3-mini, vision, and more.
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Humanize AI-generated text to bypass detection. This humanizer rewrites ChatGPT, Claude, and GPT content to sound natural and pass AI detectors like GPTZero,...
Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 24 pattern detectors, 500+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
去除文本中的 AI 生成痕迹。适用于编辑或审阅文本,使其听起来更自然、更像人类书写。 基于维基百科的"AI 写作特征"综合指南。检测并修复以下模式:夸大的象征意义、 宣传性语言、以 -ing 结尾的肤浅分析、模糊的归因、破折号过度使用、三段式法则、 AI 词汇、否定式排比、过多的连接性短语。