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AEVS
proof-of-execution for AI agents
AEVS (Agent Execution Verification System) is a drop-in SDK that records every AI agent tool call and gives agents verifiable execution receipts. It captures the tool, inputs, outputs, status, and timing as tamper-evident proof, so teams can verify what an agent actually executed without relying on chat history or fragile logs.
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About AEVS on Product Hunt
“proof-of-execution for AI agents”
AEVS launched on Product Hunt on June 15th, 2026 and earned 0 upvotes and 6 comments, placing #45 on the daily leaderboard. AEVS (Agent Execution Verification System) is a drop-in SDK that records every AI agent tool call and gives agents verifiable execution receipts. It captures the tool, inputs, outputs, status, and timing as tamper-evident proof, so teams can verify what an agent actually executed without relying on chat history or fragile logs.
On the analytics side, AEVS competes within Developer Tools, Artificial Intelligence and SDK — topics that collectively have 985.7k followers on Product Hunt. The dashboard above tracks how AEVS performed against the three products that launched closest to it on the same day.
Who hunted AEVS?
AEVS was hunted by Mehul. 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.
For a complete overview of AEVS including community comment highlights and product details, visit the product overview.
Hey Product Hunt 👋
We built AEVS at Fetch AI because as AI agents start doing real work, it’s becoming harder to answer a simple but important question:
What did the agent actually execute? 🤔
Chat history can tell you what an agent said. Logs can help, but they’re often scattered, incomplete, or easy to lose. For agents that call tools, trigger workflows, move data, or interact with external systems, teams need something stronger: a verifiable record of execution ✅
That’s what AEVS provides.
AEVS is a drop-in SDK that records every AI agent tool call as a tamper-evident execution receipt
Each receipt captures the tool used, inputs, outputs, status, and timing, so teams can verify what an agent actually did without relying only on chat history or fragile logs.
The goal is to make agent execution more trustworthy, auditable, and production-ready 🔐
It’s designed for builders working with agent frameworks like LangChain/LangGraph, MCP tools, and custom agent stacks 🛠️
You can add AEVS to your existing workflow and start generating verifiable receipts for tool calls without rebuilding your agent from scratch 🚀
We’re especially interested in use cases where agents perform actions that matter: customer support workflows, financial operations, internal tools, compliance-sensitive tasks, data pipelines, and API automation
I’d love feedback from agent builders, infra teams, and anyone thinking about trust and verification for AI systems 🙌