This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Hi everyone! I’m Sherry, the founder of Custodian Labs, and I’m excited to finally share what my team has been building.
Everyone talks about creating AI agents, but getting it hosted, connected to company data, reliable in production, and safe to use with sensitive information is a completely different challenge.
We built Custodian Labs to collapse that entire process into a simple SDK.
With Custodian, developers can:
- Build and deploy an AI agent in around five lines of code
- Add RAG without configuring embeddings or a vector database
- Switch between a lot of models! (Like, 100+)
- Create specialised multi-agent teams with automatic routing
- Detect, mask, redact, or transform PII before it reaches an AI model
The last part became especially important to us. Most privacy tools simply remove sensitive information, which can also remove the context an AI system needs. Our Guardian Layer can replace PII with realistic synthetic equivalents, allowing the model to retain useful context without receiving the original sensitive data.
Our goal is to let developers focus on what their agents should do! Not databases, infrastructure, hosting, model integrations, or privacy plumbing.
We’re still early, so I’d genuinely love your feedback:
What would you need to see before trusting a platform like this in production? Which integrations or capabilities should we prioritise next?
Thanks for checking out Custodian Labs!
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About Custodian Labs on Product Hunt
“Deploy AI Agents in 5 lines of code”
Custodian Labs was submitted on Product Hunt and earned 7 upvotes and 1 comments, placing #53 on the daily leaderboard. Custodian Labs is the fastest way for developers to deploy AI agents with no infrastructure, no vendor lock-in, and privacy-safe by design.
Custodian Labs was featured in Privacy (11.3k followers), Developer Tools (518.8k followers), Artificial Intelligence (477.8k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 238.5k products, making this a competitive space to launch in.
Who hunted Custodian Labs?
Custodian Labs was hunted by Sherry Feng. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Custodian Labs stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Sherry Feng