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!
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
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.
About withHuman on Product Hunt
“A open-source human approval layer for AI Agents”
withHuman launched on Product Hunt on October 15th, 2026 and earned 94 upvotes and 10 comments, placing #8 on the daily leaderboard. 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!
withHuman was featured in Open Source (68.9k followers), Developer Tools (521.2k followers), Artificial Intelligence (481.1k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 265.8k products, making this a competitive space to launch in.
Who hunted withHuman?
withHuman was hunted by Chris Battarbee. 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 withHuman stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Chris Battarbee