
Waggle
Hey HN, I've been following Google's A2A protocol since it launched and noticed that there is still no good way to find agents out on the public internet. They're scattered across GitHub repos, registries, cloud deployments, random subdomains, and many go offline without anyone noticing. So I built Waggle, which is a search engine that crawls the web for any domain that exposes a valid agent card, indexes them with semantic embeddings, and tracks their health over time. Waggle's index is exposed in a few different ways. First, there is good old search. There is also a REST API for…
Waggle launched on February 26, 2026 with 7 votes, #1,385 of 16,627 launches that month and more than 90% of that year's launches.
What it does
Waggle is a search engine for the agentic internet. Discover public AI agents that implement Google's A2A protocol - then delegate tasks to them directly. Ask Waggle "What are the GPS coordinates of the Empire State Building" and it will find a geocoding agent, hand off your task, and return the result. Available via web app chat, a free REST API, an A2A meta-agent, and a Claude Code Skill.
A search engine for the agentic internet. Discover and connect with A2A protocol AI agents that can automate your workflows.
Search a live index of free and paid A2A agents , delegate tasks, and let your own apps do the same. Every agent carries Health, Quality, and Trust scores, to help you make a more informed choice. Waggle is a discovery layer for the agent economy. We index live A2A agents and score each one for Health, Quality, and Trust, so people and other agents can find, delegate to, and pay the right agent with confidence. Find agents by what they do, not just keywords. Our AI understands what you're asking for. Every agent carries Health, Quality, and Trust signals, so you know what you're delegating to before you connect. Describe a task and Waggle finds a capable agent and hands it off for you, with…from waggle.zone
In the maker’s words, at launch
Hey HN, I've been following Google's A2A protocol since it launched and noticed that there is still no good way to find agents out on the public internet. They're scattered across GitHub repos, registries, cloud deployments, random subdomains, and many go offline without anyone noticing. So I built Waggle, which is a…
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Real-time dashboard for Claude Code agent teamsApr 2026 · github.com · ▲77This project (Agents Observe) started as an exploration into building automation harnesses around claude code. I needed a way to see exactly what teams of agents were doing in realtime and to filter and search their output. A few interesting learnings from building and using this: - Claude code hooks are blocking - performance degrades rapidly if you have a lot of plugins that use hooks - Hooks provide a lot more useful info than OTEL data - Claude's jsonl files provide the full picture - Lifecycle management of MCP processes started by plugins is a bit kludgy at best The biggest takeaway is…
TrailsJan 2026 · trails-red.vercel.app · ▲81Hey all, Justin here. I previously built Phind, the AI search engine for developers. One of the biggest problems we had there was figuring out what went wrong with bad searches. We had tons of searches per day, but less than 1% of users gave any explicit feedback. So we were either manually digging through searches or making general system improvements and hoping they helped. This problem gets harder with agents. Traces are longer and more complex. It takes more effort to review them, so I'm building a tool that lets you analyze LLM outputs directly to help developers of LLM apps and agents…

Keenable – A different web search API for AI agentsAug 2026 · keenable.ai · ▲12Hey HN! We built https://keenable.ai, a different web search API for AI agents. Keenable searches our own 100B+ page index. We are focused on low cost and latency (p95 <250ms from us-east). We don’t believe in benchmaxxing, so we open-sourced our internal benchmarking suite, NEEDLE (available at https://keenableai.github.io/needle): a live benchmark that compares Keenable with other search APIs on fresh agent-like queries. I spent seven years at Amazon as a scientist working on web grounding for Alexa/AGI, and my co-founder Andrey previously led search at…
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