Run OpenClaw bots for repo upkeep, note-taking and team Slack help
User runs OpenClaw bots that maintain a personal repo, take notes and send news summaries, and in Slack summarize meeting notes and answer team questions. Task: The user runs multiple OpenClaw and Zeroclaw instances on a DGX Spark machine for local inference. Bot 1 maintains a personal repo via Discord by logging issues and updating docs. Bot 2 handles note-taking and daily AI news summaries. Bot 3 acts as a Slack team assistant, processing Google meeting notes and answering org questions. Human role involves throwing ideas at bots and reviewing outputs.; tools: OpenClaw. Human role: Source evidence is unavailable regarding specific human roles or oversight steps.; limitations: Prerequisites include a DGX Spark machine for local inference and access to Discord/Slack channels. A major constraint is the operational overhead of tracking multiple agents across machines using SSH and manual config editing. The source is a single user comment, so reliability is anecdotal. Human approval is implied for reviewing summaries and priorities..
Tools
Published on Agent Work Atlas:
Overview
User runs OpenClaw bots that maintain a personal repo, take notes and send news summaries, and in Slack summarize meeting notes and answer team questions.
Workflow
The user runs multiple OpenClaw and Zeroclaw instances on a DGX Spark machine for local inference. Bot 1 maintains a personal repo via Discord by logging issues and updating docs. Bot 2 handles note-taking and daily AI news summaries. Bot 3 acts as a Slack team assistant, processing Google meeting notes and answering org questions. Human role involves throwing ideas at bots and reviewing outputs.
Reported result
The Slack team assistant is identified as the most 'real' use case so far. No quantitative metrics or success rates are provided. The user explicitly states that managing multiple agents via SSH and config files became too difficult to handle, prompting the creation of a separate orchestration tool.
Human role
Source evidence is unavailable regarding specific human roles or oversight steps.
Limitations
Prerequisites include a DGX Spark machine for local inference and access to Discord/Slack channels. A major constraint is the operational overhead of tracking multiple agents across machines using SSH and manual config editing. The source is a single user comment, so reliability is anecdotal. Human approval is implied for reviewing summaries and priorities.
Try it
Act as an automation engineer. I need to set up a Slack bot using OpenClaw to summarize meeting notes. Inputs: [Replaceable: URL to Google Drive folder with meeting transcripts], [Replaceable: Slack channel ID], [Replaceable: Summary format template]. Steps: 1. Configure OpenClaw to connect to the specified Slack channel. 2. Set up a trigger to fetch new transcripts from the Google Drive folder. 3. Generate a summary focusing on action items and key decisions. 4. Post the summary to the Slack channel. Deliverables: A working bot configuration and a sample summary output. Quality Check: Verify that the summary accurately reflects the transcript content. Safeguards: Run a dry test with one transcript first. Do not post to the live channel until I confirm the output is correct. If inputs are missing, ask for the specific file paths or IDs.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.