Goal-driven autonomous daily tasks with OpenClaw
Turn OpenClaw into a self-directed agent: you describe your goals once, and the agent generates, executes, and tracks daily tasks that advance them.
Each morning the agent comes up with 4-5 tasks it can complete autonomously on your computer: research, scripts, app features, content, competitor analysis. Completed work is tracked on a Kanban board the agent builds itself. Optionally, you can have it build surprise mini-app MVPs overnight — explicitly ask for simple MVPs to avoid overcomplication.
Requirements
Telegram or Discord integration.
The sessions_spawn and sessions_send tools for autonomous task execution.
If you want the optional Kanban board, Next.js or a similar stack; in this workflow, OpenClaw builds it for you.
>Как настроить
Step 1 — brain dump, the most important step. Give OpenClaw all your personal and professional goals: the more context, the better the daily tasks. Example format:
Here are my goals and missions. Remember all of this:
Career:
- Grow my YouTube channel to 100k subscribers
- Launch my SaaS product by Q3
- Build a community around AI education
Personal:
- Read 2 books per month
- Learn Spanish
Business:
- Scale revenue to $10k/month
- Build partnerships with 5 companies in my space
- Automate as much of my workflow as possible
Use this context for everything you do going forward.
Step 2 — set up autonomous daily tasks. Tell the agent to generate tasks from your goals each morning, execute them, and update the board:
Every morning at 8:00 AM, come up with 4-5 tasks that you can complete
on my computer today that bring me closer to my goals.
Then schedule and complete those tasks yourself. Examples:
- Research competitors and write analysis reports
- Draft video scripts based on trending topics
- Build new features for my apps
- Write and schedule social media content
- Research potential business partnerships
- Build me a surprise mini-app MVP that gets me closer to one of my goals
Track all tasks on a Kanban board. Update the board as you complete them.
Step 3 (optional) — the Kanban board. Ask OpenClaw to build a board for tracking tasks:
Build me a Kanban board in Next.js where I can see all the tasks you're
working on. Show columns for To Do, In Progress, and Done. Update it
in real-time as you complete tasks.
Split task tracking into two files to avoid the race condition: keep AUTONOMOUS.md small (goals and open backlog only, edited by the main session), and use memory/tasks-log.md as an append-only log where sub-agents only add lines at the end. Example log:
# tasks-log.md — Completed Tasks (append-only)
# Sub-agents: always append to the END. Never edit existing lines.
### 2026-02-24
- ✅ TASK-001: Research competitors → research/competitors.md
- ✅ TASK-002: Draft blog post → drafts/post-1.md
The log works like Git commits: history is never rewritten, only appended. This eliminates the race condition (the edit tool requires an exact oldText match, and concurrent sub-agent edits silently fail) and reduces token usage.
In sub-agent spawn instructions, always include the rule: when done, append a line with a checkmark to memory/tasks-log.md and never edit AUTONOMOUS.md directly.
Keep AUTONOMOUS.md under ~50 lines: one-line goals plus the open backlog. Archive completed tasks to a separate file read only on demand — the file loads on every heartbeat poll, and unbounded growth burns tokens.
Source: hesamsheikh/awesome-openclaw-usecases and its contributors. License: MIT.
Copyright (c) 2026
Translation and editorial adaptation by ClawCases.
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