usewhisper-autohookAutomatically fetches and injects Whisper memory context before responses and ingests conversation turns after, optimizing token usage for Telegram agents.
Install via ClawdBot CLI:
clawdbot install alinxus/usewhisper-autohookGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://context.usewhisper.devAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
A customer service bot that uses Whisper Context to maintain conversation history across sessions, remembering previous issues and resolutions. This enables personalized support without sending full chat history to the LLM, reducing token costs while improving continuity.
An educational chatbot that tracks student progress and learning patterns over time using stable user/session IDs. The assistant can recall previous lessons, mistakes, and learning preferences to provide tailored explanations and exercises.
A mental wellness chatbot that maintains sensitive conversation history across sessions while ensuring privacy through memory compression. The assistant can reference past discussions about moods, coping strategies, and progress without exposing full transcripts.
A sales chatbot that remembers customer preferences, previous inquiries, and purchase history across multiple interactions. This enables personalized product recommendations and seamless onboarding experiences without repetitive questions.
A team collaboration bot that tracks project discussions, decisions, and action items across multiple chat sessions. Team members can query about previous decisions and task assignments without manual documentation lookup.
Offer a managed service where businesses pay monthly for AI agents with persistent memory capabilities. The subscription includes Whisper Context API access, automatic memory management, and analytics on conversation patterns and token savings.
Provide professional services to integrate autohook functionality into existing chatbot platforms. This includes custom ID mapping strategies, proxy server setup, and optimization of memory compression settings for specific use cases.
License the autohook technology to other chatbot providers who want to offer memory features without building their own infrastructure. Include the proxy servers, memory management tools, and administration dashboard as a packaged solution.
💬 Integration Tip
Ensure stable user_id and session_id mapping is implemented first, as this is critical for proper memory functionality across sessions.
Scored Apr 19, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.
Billions decentralized identity for agents. Link agents to human identities using Billions ERC-8004 and Attestation Registries. Verify and generate authentic...