Observed Signal · Apr 24, 2026 · Technical Tutorial · Source: DEV Community · Impact: 2/5 · Sentiment: Positive
Schedule Your AI with OpenClaw Cron & HEARTBEAT
A developer tutorial describing how OpenClaw turns reactive chatbots into proactive assistants using two primitives: scheduled cron jobs (openclaw cron) for reliable, timed “push” messages, and a workspace HEARTBEAT.md file for periodic “pulse” checks that decide whether to interrupt the user. The post includes a CLI example to send a daily 7 AM Slack brief, explains session modes (isolated vs main), notes job storage at ~/.openclaw/cron/jobs.json and runtime state, and shows retry and heartbeat interval configuration. HEARTBEAT.md’s default-silent rubric (reply HEARTBEAT_OK) and rules like “don’t re-surface” are emphasized to avoid noise. The author also requests features: heartbeat-run history and per-channel HEARTBEAT overrides.
Practical developer guidance that improves reliability and usability of personal AI agents (scheduling vs. judgment). Useful to practitioner adoption but not a platform-level or industry-shifting announcement.
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Key Takeaways & Evidence Grounding
- OpenClaw provides a scheduled-job primitive via the CLI command openclaw cron that supports cron expressions, fixed intervals, one-shot timers, and timezone specification.
- Cron job definitions are stored at ~/.openclaw/cron/jobs.json and runtime state is stored in jobs-state.json.
- OpenClaw’s HEARTBEAT.md file implements a 30-minute default pulse: on each tick the agent reads the rubric and either suppresses delivery with HEARTBEAT_OK or sends an interruption.
- CLI example: openclaw cron add ... --cron "0 7 * * *" --tz "America/Los_Angeles" --session isolated --message "Summarize overnight updates." --announce --channel slack --to "channel:C1234567890"
- Configuration supports retry/backoff settings for cron runs and heartbeat interval tuning (e.g., agent.heartbeat.every: "30m"; set "0m" to disable).
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
OpenClaw guide: Build and run personal AI agents
A detailed how-to and user report on OpenClaw — an open‑source, agentic personal AI assistant that runs locally or on a hosted/VPS machine. The newsletter summarizes installation options (hosted services, VPS, or personal hardware like a Mac Mini), onboarding steps, key concepts (gateway, agents, crons, tools/skills), useful integrations (email, calendar, GitHub, Linear, search APIs), and operational/security best practices (use isolated machines, prefer read-only tokens, audit crons and skills). The author describes running multiple specialized agents (e.g., personal assistant, family manager, marketer, sales bot), practical example crons/tasks, model choices (Claude Opus, Codex/ChatGPT), and notes ongoing costs and governance considerations. The piece emphasizes agentic workflows' productivity benefits while warning about prompt injection, credential exposure, and the need for robust operational security.
Anthropic’s /loop Makes Claude Agents Autonomous
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OpenClaw: Self‑Hosted AI Agent That Acts Autonomously
The article is a first‑person account of using OpenClaw, an open‑source, self‑hosted AI agent that runs on macOS, Windows or Linux and can be granted access to local tools and channels to perform actions autonomously. The author describes OpenClaw connecting to chat apps (Telegram, WhatsApp, Discord, Slack, iMessage and others), monitoring services (e.g., GitHub), browsing the web, reading/writing files, running shell commands, and automating browser interactions. The piece emphasizes data privacy (context and memory remain on the user’s machine), the need for careful permissioning and sandboxing, and practical install steps (Node.js 22+, npm install -g openclaw@latest; openclaw onboard --install-daemon). The author frames OpenClaw as a shift from chatbots to persistent, agentic assistants while warning about responsibility and least-privilege practices.
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