SaaS Metrics
Product Positioning & Context
withHuman is an approval layer for AI agents. It intercepts your agents’ tool calls before they run. Rules approve or deny routine calls automatically, and risky ones go to the right person on your team. It works across Claude Code, Codex and agents built with LangGraph, Pydantic AI and more, through an open protocol (AAP). One set of rules for every agent your company runs. Open source, with a hosted version. Use code PRODUCTHUNT for 3 months of Scale free - valid till Friday!
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is withHuman?
withHuman is a digital product or tool described as: A open-source human approval layer for AI Agents
Where did withHuman originate?
Data for withHuman was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was withHuman publicly launched?
The initial public indexing or launch date for withHuman within our tracked developer communities was recorded on October 15, 2026.
How popular is withHuman?
withHuman has achieved measurable traction, logging over 94 traction score and facilitating 10 recorded discussions or engagements.
Which technical categories define withHuman?
Based on metadata extraction, withHuman is categorized under topics such as: Open Source, Developer Tools, Artificial Intelligence.
What are some commercial alternatives to withHuman?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as OpenHuman, which offers overlapping value propositions.
How does the creator describe withHuman?
The original author or development team describes the product as follows: "withHuman is an approval layer for AI agents. It intercepts your agents’ tool calls before they run. Rules approve or deny routine calls automatically, and risky ones go to the right person on your..."
Community Voice & Feedback
Love that the protocol is an open spec and not just a product. Also appreciate the honesty about what you haven’t solved yet, like context for reviewers.
Interesting!QQ - what happens if withHuman is unreachable (on either cloud or self-hosted)?
This feels like a missing layer for production agents. How much context does the reviewer see before approving a tool call? Too little is risky, but too much gets noisy fast.
The production-fix story explains the need for this really well. An approval request needs enough context for someone to make a decision, so I'm glad you called that out as something you're still working on.
Hey Product Hunt! I’m Chris, co-founder of withHuman along with Ece 👋
Before withHuman, we built an AI agent that investigated production issues and worked out fixes. It could often find the right fix. The hard part was asking a customer to let it apply that fix to their production systems. Fair enough: nobody wants to hand an agent admin access to production and hope for the best.
We added an approval step, but the same problems kept coming up in conversations. Each team had different rules about who could approve what. They wanted finer control over what the agent could do. And they were already using other agents, each with its own approval setup.
withHuman is what we wished existed back then. It sits between your agents and their tools and intercepts each tool call before it runs. Your rules approve or deny the routine ones automatically, and the risky ones go to the right person, wherever suits them. Your agents don’t need to change, and they can’t skip it.
What’s available today:
• The Agent Approval Protocol (AAP), an open spec, with prebuilt hooks for Claude Code and Codex, and SDKs for Python and TypeScript
• withHuman itself, open source, with a hosted version that has a free plan
The quickest way to try it is the Quickstart, which connects a coding agent you already use in a few minutes.
There’s plenty we’re still figuring out, like giving reviewers enough context to decide, and gating calls that don’t go through MCP. We wrote more about that here: https://withhuman.ai/blog/introd...
We’d love your feedback, especially on this: which of your agent’s actions would you want a human to sign off on first?
Ece and Chris
Before withHuman, we built an AI agent that investigated production issues and worked out fixes. It could often find the right fix. The hard part was asking a customer to let it apply that fix to their production systems. Fair enough: nobody wants to hand an agent admin access to production and hope for the best.
We added an approval step, but the same problems kept coming up in conversations. Each team had different rules about who could approve what. They wanted finer control over what the agent could do. And they were already using other agents, each with its own approval setup.
withHuman is what we wished existed back then. It sits between your agents and their tools and intercepts each tool call before it runs. Your rules approve or deny the routine ones automatically, and the risky ones go to the right person, wherever suits them. Your agents don’t need to change, and they can’t skip it.
What’s available today:
• The Agent Approval Protocol (AAP), an open spec, with prebuilt hooks for Claude Code and Codex, and SDKs for Python and TypeScript
• withHuman itself, open source, with a hosted version that has a free plan
The quickest way to try it is the Quickstart, which connects a coding agent you already use in a few minutes.
There’s plenty we’re still figuring out, like giving reviewers enough context to decide, and gating calls that don’t go through MCP. We wrote more about that here: https://withhuman.ai/blog/introd...
We’d love your feedback, especially on this: which of your agent’s actions would you want a human to sign off on first?
Ece and Chris
Discovery Source
Product Hunt Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
No mainstream media stories specifically mentioning this product name have been intercepted yet.
Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.