OpenClaw AI Agent with 6 Roles, Memory, and ADHD-Aware Design: Daily Ops Breakdown
A Reddit user with ADHD who left corporate to run a solo consultancy built an open-source AI agent that runs 6 distinct roles from a single memory base. The system handles daily planning, call debriefs, writing, legal work, and OSINT investigations without manual wiring between tasks.
Daily workflow (by 8am)
The agent produces a 4-hour action plan on the user's desk, with energy-tagged tasks and time estimates. It auto-drafts follow-up messages for every person the user owes a reply. The user reviews and sends.
Core features
- Debriefs: Paste a call transcript → the agent extracts promises made, who said what, action items, and CRM entries. Files everything automatically.
- Writing: No email or post drafted from scratch in 4 months. The agent writes in the user's voice, trained on 4 years of their posts and DMs. Recipients don't notice the difference.
- Legal work: Same system, different role. Generates separation packages, redlines vendor contracts, drafts compliance memos with citations.
- Investigations: Another role tracks active OSINT cases, manages evidence, drafts intel reports.
- Six roles total sharing the same underlying memory. Insights from a sales call can inform a legal review without manual cross-referencing.
ADHD-aware design choices
- No shame language — ever.
- Effort tracked (e.g., “you sent 4 messages”) not outcomes (“nobody replied”).
- If you can't copy-paste, click, or check it off, it doesn't belong on the user's plate.
The system is open source. The user invites others to fork it and teach it their own work.
📖 Read the full source: r/ClaudeAI
👀 See Also
CONTACT: 3D Naval Combat Game Built Entirely with Claude Code
CONTACT is a 3D naval combat game built entirely with Claude Code + Opus, featuring a 7×7×7 volumetric cube, credit economy with tactical perks, and three game modes including Human vs Claude and Sonnet vs Sonnet with persistent strategic memory.
MOOSE-Star: A 7B Model and 108K-Paper Dataset for Scientific Hypothesis Discovery – ICML 2026
MiroMind releases MOOSE-Star on Hugging Face: a 7B model (DeepSeek-R1-Distill-Qwen-7B fine-tune) for scientific hypothesis discovery, alongside the 108K-paper TOMATO-Star dataset. Benchmark shows MS-7B achieves 54.34% inspiration retrieval accuracy, beating GPT-5.4 and approaching Gemini-3 Pro.
Squeez tool compresses bash output 90%+ to extend Claude Code context window
Squeez is a hook that automatically compresses raw bash output like ps aux, docker logs, and git log before it reaches Claude Code. It reduces token usage by 92.8% on average across 19 common commands, helping sessions last longer.
Open-source tool enables Claude to control Unreal Engine directly
soft-ue-cli is a Python tool with a C++ plugin that allows Claude Code and Claude Desktop to execute commands in Unreal Engine without editor interaction, featuring 60+ operations including blueprint editing, actor spawning, and performance profiling.