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"plaintext": "As so many others, I played around with OpenClaw (https://openclaw.ai/). I guess I did not find any revolutionary, but as always, I tried to sketch up how 'my' agent works. So, here we go. "
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"plaintext": "This is an autonomous daily briefing and social posting agent called Owlie42. Owlie42 wakes up at 6:00, reads and processes news using a local LLM (GLM-4.7 via Ollama), stores relevant context in a memory file system, and posts a curated summary to Discord by 6:15. Meanwhile, a background heartbeat continuously monitors bulletin boards and keeps the memory store fresh. It's a lean, fully local AI pipeline with no cloud LLM dependency — just scheduled jobs, file-based memory, and a Discord webhook as the output channel."
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"plaintext": "Architecture Overview: Owlie's Automated Intelligence System"
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"plaintext": "The diagram shows a multi-layered automation architecture centered around an AI agent named Owlie42, who operates through OpenClaw with a local LLM backend via Ollama running GLM-4.7 on a hardware named Ada."
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"plaintext": "At the top, three scheduled triggers drive the entire system. The first is a recurring every-30-minutes timer that continuously monitors bulletin boards — likely some form of message board or forum scraper. The second and third are time-based cron triggers firing at 6:00 and 6:15 respectively. The 6:00 job initiates a \"read news\" workflow, while the 6:15 job kicks off a \"Post to Discord\" workflow. Both feed into a shared Cron Jobs component, which acts as the central scheduler for the morning routines."
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"plaintext": "The blue components represent the active runtime processes. The Heartbeat mechanism — triggered by the 30-minute timer — runs a continuous health-check or polling loop. It writes state or observations into a MEMORY.md file, functioning as a persistent short-term memory store for the agent."
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"plaintext": "The Daily Reading workflow is responsible for ingesting and processing the morning news. It reads from a /memory/xyz. directory, which appears to serve as a shared memory space accessible by multiple components. Interestingly, Daily Reading also has a dashed feedback arrow pointing back to MEMORY.md, suggesting it enriches the memory file with newly processed information."
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"plaintext": "Daily Discord takes processed content and pushes it out via the Discord API. There's a dashed line from Daily Discord back to Daily Reading, hinting at some coordination or content handoff between the two workflows before posting."
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"plaintext": "Ollama is the local LLM runtime, pulling model weights from GLM-4.7 (shown as a data/file artifact). Ada calls Ollama directly for language model inference."
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"plaintext": "OpenClaw is the agent orchestration framework. It connects upward to the blue process layer — specifically feeding results into Daily Reading and receiving instructions from it. OpenClaw also has access to the markdown files in folder /memory/, enabling it to read and write contextual memory."
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"plaintext": "Of course, in a more production-like environment, the setup would a lot different. We published a more elaborate piece on this topic at https://desrist2026.org/, see https://rachmann-alexander.github.io/businesscard/res/desrist2026.pdf for the poster."
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"title": "OpenClaw Agent from an Archimate Perspective"
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