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ollama + DeepSeek v4 pro handled entire monthly dev reports on Eigent. github prs → word doc → slack message → sent to product-release channel. in just one prompt. fully local. the full walkthrough is in the thread. try the same loop on open source cowork Eigent, byo model!

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Eigent AI

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11,416 görüntüleme • 5 ay önce •via X (Twitter)

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Eigent AI5 ay önce

full guide to recreate this use case:

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Mert · AI Architect5 ay önce

@ollama @deepseek_ai Local inference at 1M tokens only works because DeepSeek cut KV cache to 10% of V3.2. That's the engineering story underneath the demo.

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Alice The Ai Expert5 ay önce

@ollama @deepseek_ai Local AI just automated your whole workflow

Rahul - QA - Automation - AI profil fotoğrafı
Rahul - QA - Automation - AI5 ay önce

@ollama @deepseek_ai 1M tokens + MoE magic making agentic workflows actually usable locally/cloud. Any tips on the exact prompt structure you used for the GitHub → Word → Slack chain? Great work!

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Strata5 ay önce

@ollama @deepseek_ai Tempo's testnet numbers look solid actually

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I rebuilt most of OpenClaw's core in a single workflow: - 25 blocks - 29 connections - Short + long-term memory - Multi-channel (Telegram + Slack) Didn't build it manually. Stack is fully open-source. Self-host, run local models, own it end-to-end. Full walkthrough: Chapters: 00:00 - Intro 01:00 - SimClaw in action: planning my day, finding meetings, sending email 04:05 - Long-term memory capability 05:52 - Inside the workflow: how it's wired 12:09 - The plot twist 12:50 - Building an entire workflow using a single prompt 15:42 - Why this is an OS for your AI workforce 17:00 - Try it yourself If you want to see the open-source stack that powers all of this, check out Sim on GitHub and drop a star if you find it useful:

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