On Launch Llama
Decawork
For IT teams: Decawork governs employee-built AI agents from one dashboard so you control access and oversight Decawork keeps the workflow clear so you ship outcomes with less busywork.
Built by Aman, Sarthak Aggarwal, and Garry Tan
Visit website → Upvotes · 336
Decawork is a Product Hunt listing on Launch Llama with 336 total upvotes, founded by Aman, Sarthak Aggarwal, and Garry Tan who joined in Aug 2026, compared against 6 alternatives.
Product Hunt listing
Listing status
336upvotes
Community score
Aman, Sarthak Aggarwal, and Garry Tan (Joined Aug 2026)
Founder
Compared against 6 alternatives
Market comparison
Key Features
- Train company-specific models to approve AI actions in real time
- Set policies in plain English for agent behavior
- Keep all agents and their activity visible in one place
- Make approval decisions based on current task context
- Route API requests and MCP tool calls through governance layer
About
Decawork is how IT teams take employee-built AI agents live and control every one of them from one place. An employee builds an agent on Claude Code, Codex, or any vibecoding tool; we take it in, put it on company accounts, and run it as a company asset. From there, IT team manages the agent like an employee: access, oversight, retirement.
Use Cases
- IT teams deploying employee-built AI agents as company assets with oversight
- Organizations managing agent access permissions based on task requirements
Pricing
See the Decawork website for current pricing.
Verdict
In the competitive authentication & identity tools space, Decawork stands out as a solid option. With 336 upvotes from the Launch Llama community, it's clearly resonating with founders. Decawork is how IT teams take employee-built AI agents live and control every one of them from one place. If for it teams: decawork governs employee-built ai agents from one dashboard so you control access and oversight decawork keeps the workflow clear so you ship outcomes with less busywork is a priority for your team, it's worth giving Decawork a closer look.
FAQ
What is Decawork?
Decawork is how IT teams take employee-built AI agents live and control every one of them from one place. An employee builds an agent on Claude Code, Codex, or any vibecoding tool; we take it in, put it on company accounts, and run it as a company asset. From there, IT team manages the agent like an employee: access, oversight, retirement.
Who should use Decawork?
Decawork is a strong fit if you are one of: • indie hackers and solo founders • early-stage startup teams If that does not sound like you, skim the features and site before committing time.
What problem does Decawork solve?
Decawork is built around this outcome: For IT teams: Decawork governs employee-built AI agents from one dashboard so you control access and oversight Decawork keeps the workflow clear so you ship outcomes with less busywork. Use the site demo or docs to confirm it matches the bottleneck you are trying to remove.
What are the main features of Decawork?
Decawork includes: • Train company-specific models to approve AI actions in real time • Set policies in plain English for agent behavior • Keep all agents and their activity visible in one place • Make approval decisions based on current task context • Route API requests and MCP tool calls through governance layer
How much does Decawork cost?
See the Decawork website for current pricing. Check the official site before you buy so you see current plans, trials, and limits.
How does Decawork use AI?
Decawork uses AI as part of its workflow. Before relying on it for customer-facing or confidential work, confirm what data is sent to models, whether outputs are editable, and how you can review results.
Is Decawork worth trying?
It promises: For IT teams: Decawork governs employee-built AI agents from one dashboard so you control access and oversight Decawork keeps the workflow clear so you ship outcomes with less busywork. A concrete use case founders care about: IT teams deploying employee-built AI agents as company assets with oversight. It has 336 community upvotes on Launch Llama, which is a signal of interest — not a guarantee it fits you. Worth trying if that problem is painful for you this week; skip it if you only need a one-off workaround you already have.
How do I try Decawork?
Open the official Decawork website from this page, run the smallest real task you care about (not a toy demo), and decide in one session whether it removes friction. Check pricing and data/privacy terms before you put production work into it.
Founder Guides
Alternatives
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Ask AI
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For agents
llms.txt · llms-full.txt · ai.txt · Live fact sheet · Full catalog (.md) · Endpoint index · API spec · REST access · Agent server · Server manifest · Server discovery