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
Developer Achieves Sub-Second STT/TTS Latency with Local Whisper and Coqui-TTS Servers
A developer has open-sourced local server implementations for Whisper STT and Coqui TTS that achieve ~0.2s speech-to-text and ~250ms text-to-speech latency, enabling conversational AI agents without cloud dependencies.
Claude Code Workflow Visual Details Memory Hierarchy and Skills System
A Reddit user shared a visual diagram showing how Claude Code organizes memory through layered CLAUDE.md files and implements reusable skills via SKILL.md files. The workflow loop suggests using Plan mode with auto-accept and frequent commits.
/goal for Claude Code: persistent tasks with adversarial review
A /goal command for Claude Code that keeps it working on a long task across many turns, with an optional separate Claude session reviewing the final result to prevent false completion.
Manifest Router Adds ZAI Subscription Support for OpenClaw Model Management
Manifest router now supports ZAI subscriptions, allowing all ZAI models to appear in routing tiers with automatic model selection per request. The tool is in beta, free, open source, and includes a dashboard for tracking costs per agent, message, and model.