Telem – Route agent web search across providers and inspect the traces
TL;DR: Web search open router that routes agent web search across providers (Exa, Parallel, Tavily, Brave, SerpAPI etc.), and traces web search results with quality metrics, so you can visualize whether a bad agent run is a web search problem or a reasoning problem. I work in venture capital, and before that I worked in information retrieval. When agents went viral, I built a due diligence agent for my day job. I vibe-coded the first version. It was pretty bad. My first reaction is to blame the model. I tried to change backend models, maybe because Fable doesn't want to help me do people…
Telem – Route agent web search across providers and inspect the traces launched on August 27, 2026 with 8 votes, #1,241 of 23,274 launches that month and more than 75% of that year's launches.
What it does
Telem AI builds infrastructure for AI agents: web search routing, web fetch routing, and agent observability.
Every query is routed to the best-fit providers with our auto router. Higher accuracy, fewer tokens, lower cost. Best engines per query Illustrative picks. The router scores every engine for each query. +20% accuracy over the best single engine on long horizon tasks. Right fetcher per site Each site goes to the fetcher that handles it best. 97% accurate page checks Walls, blocks and empty pages are caught. Search accuracy from our long horizon research · tokens and cost simulated on our benchmark (7,835 runs) · fetch errors 1.1% vs 5.0% over 459 fetches each · How auto routing works → One dashboard for every search your agents run — which engine answered, how…from telem.ai
In the maker’s words, at launch
TL;DR: Web search open router that routes agent web search across providers (Exa, Parallel, Tavily, Brave, SerpAPI etc.), and traces web search results with quality metrics, so you can visualize whether a bad agent run is a web search problem or a reasoning problem. I work in venture capital, and before that I worked…
Does a similar job
all alternatives →
/agent by Firecrawl Dec 2025 · firecrawl.dev · ▲569While building mendable - we found that feeding LLMs well-structured markdown improved accuracy. We also found it surprisingly hard. We found some great tools online, but none reliably handled the entire process. We wanted an API that took a URL, crawled the pages in the URL, and gave us an easy-to-use, up-to-date markdown we could feed into our index. So, we released an open-source repo and an API that crawls and turns entire websites into a markdown with just a few lines of code The API handles: - Crawling without consistent sitemaps - Infra to handle running many crawling jobs - Proxying,…
Web Search Agents by NimbleAug 2026 · nimbleway.com · ▲371Self-learning agents automate web research + retrieval
Notte Browser Agents2025 · notte.cc · ▲275Hey HN, We’ve been building browser agents for a while. In production, we kept converging on the same pattern: deterministic scripts for the happy path, agents only for edge cases. So we built Demonstrate Mode. The idea is simple: You perform your workflow once in a remote browser. Notte records the interactions and generates deterministic automation code. How it works: - Record clicks, inputs, navigations in a cloud browser - Compile them into deterministic code (no LLM at runtime) - Run and deploy on managed browser infrastructure Closest analog is Playwright codegen but: - Infrastructure…
The new Firecrawl /searchJul 2026 · docs.firecrawl.dev · ▲257Our most accurate Search API for AI agents.
Airweave – Let agents search any app2025 · github.com · ▲176Hey HN, we're Lennert and Rauf. We’re building Airweave (https://github.com/airweave-ai/airweave), an open-source tool that lets agents search and retrieve data from any app or database. Here’s a general intro: https://www.youtube.com/watch?v=EFI-7SYGQ48, and here’s a longer one that shows more real-world use cases, examples of how Airweave is used by Cursor (0:33) and Claude desktop (2:04), etc.: https://youtu.be/p2dl-39HwQo A couple of months ago we were building agents that interacted with different apps and were frustrated when they…
rtrvr.ai/exchange2025 · rtrvr.ai · ▲152No one’s got money for another AI subscription. So we made our browser agent totally FREE. What's the catch? Just ads while Retriever AI fetches you leads, does your exams, applied to jobs, and sends connection requests. Think like a Claude Code or Clay level tool in your browser, but free for everyone! After 35K+ users and 7M+ workflows, we spent the last few months attacking the cost of every agent step: - switching to DeepSeek Flash - Code Mode to one shot complex workflows - optimizing for 80%+ token cache hits So that now just an ad impression covers the entire cost of the agent (LLM…
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 22d ago · stillwet.art
FastRouter.ai▲364Route requests to the right LLM for cost, latency & quality
AI · 23d ago · fastrouter.ai
Source: Show HN post ↗ · launch text quoted in part
Launched alongside, August 2026
the whole month →- TL
Life & fun · Aug 2026 · louisabraham.github.io
Clipto MCP▲655Hey HN, We recently built Clipto. It’s a tool that lets you search over terabytes of video, audio, and images on your computer, without relying on the cloud. Motivation: we probably all had this similar experience, we know a moment exists in a video or audio, but finding it takes hours scrubbing the timeline. You can send all the media to process in the cloud, but it’s slow, expensive and raises privacy concerns. So we decided to build our own on-device media search engine. How it works (high level): 1. We ingest video, audio, image; normalize formats via ffmpeg; run content analysis to…
Work · Aug 2026 · clipto.com
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
Astute▲606Automate your B2B brand going viral, with new media creators
AI · Aug 2026 · company-app.joinastute.com