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Clor

give your agent claws

Details

External ID
48375347
Source
HN
Company
—
Product
Clor
Website domain
clor.com
Launched
June 2, 2026
Cohort
—
Upvotes
11
Upvotes percentile
0.6284153005464481
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

At my last job I spent a year building an agentic coding platform used by hundreds of thousands of people. Along the way I tried building a hosting service on OpenClaw, and also ran Hermes myself for a while. Both projects have some great feature ideas, but when I tried to use them for real work they failed more often than not, and their security models worried me. I just couldn't see either one becoming something I'd trust enough for myself/friends/family. After a lot of exploration I realized that what I really wanted all along was to create automations using the coding agent I already work in every day. It turned out coding agents were the best tool for automating anything, not just code, as long as they had the right environment and tools to work with.I also spent 20 years leading Linux infrastructure and distributed systems teams. Anyone who's written service daemons knows that most of what we think of as "always on" is really just wake up, do some work, and go back to sleep, which is an efficient pattern to use and reason about. Cron has worked this way for decades.So I built Clor, a CLI that lets your coding agent create "claws", which are background agents that automate anything on a schedule and run on your laptop, Mac mini, or a VM.A claw can be defined and shared as a single CLAW.md file, which contains a bit of metadata (name, schedule, personality, etc.) and one or more ordered tasks. Each task is a real agent run with full tool use, or a plain bash step. Anything you can ask your agent to do once, a claw can do repeatedly. One of my claws tidies my inbox every few minutes, labeling obvious spam, rescuing legit email that got mislabeled, and starring threads I owe a reply to, etc. It's way smarter than Gmail's filters because it actually reads my mail instead of just matching rules.Installing is the usual command on Linux/macOS in the terminal: curl -fsSL https://clor.com/install.sh | bash. That will set up the CLI, a small scheduling daemon, and a skill that you can run from your agent, /claws in Claude Code or $claws in Codex.

Enrichment

Theme
AI agent frameworks and developer tools
Vertical
Horizontal
Function
Agent / copilot
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
tool capabilities for ai agents
Manually corrected
False

Could you build this?

Partial Building a simple agent runner is easy, but building a robust multi-agent execution environment and hosting infrastructure that isolates processes, manages sandboxed tools, and provides reliable long-running agent loops requires deep systems engineering.

What it would actually take: The architecture needs secure multi-tenant microVM sandboxing (e.g., Firecracker or gVisor) to run arbitrary agent-generated code safely, paired with an event-driven control plane for agent execution state. The hard part is securing runtime boundaries against prompt injection escape while maintaining sub-second startup times and low resource overhead. It requires specialized cloud infrastructure and Linux container virtualization engineering.

Discussion

5 comments analyzed.

Competitors mentioned: Claude, GPT, Gemini, OpenRouter (AI inference providers), Big AI companies' agent functionality

Concerns raised: Preventing destructive actions on host system, Irreversible side effects of tasks (e.g., sent emails), Agents retrying steps they already completed, Local-only execution limits (no cloud option currently)

Feature requests: Rollback/undo mechanism for task failures, Runtime options for block-level snapshots/rollbacks, API-level undo support, Convention for marking steps as idempotent, Cloud-hosted option for running claws

Competitors

Other products that read as similar to this one — 600 launches clear the similarity bar, closest 8 shown.

Attention rank: #238 of 601 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 213 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.