

Keeper
24 posts

@keeperagentapp
Flexible AI workflow automation designed for Web3 $KEEPER: BhzS3gkFkpskkJ5DQdujLAoXbk3ExyUR8KQC7noEpump



Revolutionize multi-wallet trading with KeeperAgent + Claude Sonnet. Manage trades across multiple wallets with natural language. Pick your strategy: - Equal per wallet (default): same amount from each wallet - Random per wallet: random amounts, you set min/max - Total split randomly: one pool, split randomly across wallets Prompt: “Buy $10 of this token” → Agent breaks it into random small, trades while keeping the total at $10.

Revolutionize multi-wallet trading with KeeperAgent + Claude Sonnet. Manage trades across multiple wallets with natural language. Pick your strategy: - Equal per wallet (default): same amount from each wallet - Random per wallet: random amounts, you set min/max - Total split randomly: one pool, split randomly across wallets Prompt: “Buy $10 of this token” → Agent breaks it into random small, trades while keeping the total at $10.


Revolutionize multi-wallet trading with KeeperAgent + Claude Sonnet. Manage trades across multiple wallets with natural language. Pick your strategy: - Equal per wallet (default): same amount from each wallet - Random per wallet: random amounts, you set min/max - Total split randomly: one pool, split randomly across wallets Prompt: “Buy $10 of this token” → Agent breaks it into random small, trades while keeping the total at $10.


This article does a great job of explaining how local AI agents could replace SaaS tools while keeping your data private. It highlights a future where powerful skills, incentives, and cost savings all work together in one ecosystem. probably the best use case of openclaw.





Side by side example Same model (claude-opus-4-6). Same task. Two different agent harnesses @LangChain Deep Agents CLI: 9s Claude Code: 16s The harness IS the performance. 1.7× difference, zero model changes







We've been building toward this for a while and KeeperAgent just leveled up. 🚀 We now support MCP Servers and Agent Skills. Here's why that's a big deal 🧵 🔌 MCP (Model Context Protocol) An open standard that lets your agent connect to external servers, data sources, and tools in a standardized way. No more hardcoded integrations, your agent discovers and uses capabilities dynamically. It's the difference between a closed tool and a open ecosystem. 🧩 Agent Skills Modular capabilities you plug directly into KeeperAgent - web browsing, code execution, document analysis, API calls, memory management, and more. Stack them together and your agent becomes something genuinely powerful. Not just a chatbot. A full workflow engine. ⚡ One place. Zero friction. Add and manage your MCP Servers and Agent Skills in a single, unified hub, seamless and intuitive, just like the Claude desktop app. No complex setup. Just plug in and go. 🤖 Your agent. Your model. Switch seamlessly between Claude, OpenAI GPT, and Google Gemini depending on what your task demands. For the most complex, multi-step workflows, we recommend Claude Opus or Claude Sonnet for the best reasoning and reliability. $KEEPER BhzS3gkFkpskkJ5DQdujLAoXbk3ExyUR8KQC7noEpump




