
Router eChat
The iOS of Ai
Router eChat launched on May 26, 2025 with 11 votes, #1,913 of 7,905 launches that month and more than 50% of that year's launches.
What it does
eChat + Router is your AI control center. Talk to any model, run any agent. One chat, 800+ tools. Powered to be Router’s LLM switchboard. Built on EDITH’s decentralized supercloud. No limits. No lock-in. Just pure intelligence on demand.
Does a similar job
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FastRouter.ai21d ago · fastrouter.ai · ▲364Route requests to the right LLM for cost, latency & quality

Aident AI Beta 2Mar 2026 · aident.ai · ▲398Hi HN — I’m Kimi, founder of Aident AI. A couple years ago, I cold-started a startup and tried to automate my outreach pipeline with a patchwork: RPA + Zapier + "just some ChatGPT". It worked… until it didn’t. Every time I tweaked the strategy, the automation snapped. The system wasn’t built for change — it was built for wiring. And that’s when it hit me: AI is finally smart enough to do real work, but we still don’t have a clean way to communicate the work to it: Drag-and-drop flows are too rigid; Scripts are too fragile; Prompts are too ephemeral. I kept thinking: why can’t automation be…
Smart model routing directly in Claude, Codex and CursorJun 2026 · github.com · ▲216We built a model router that plugs into coding agents (e.g. Claude Code, Codex, Cursor, etc.) and intelligently sends requests to the best model to serve them. Here's a quick demo of running it locally: https://www.youtube.com/watch?v=isKhAyivtfM. At Weave, we write most of our code with AI, and it's been getting more expensive. This came to a head when Opus 4.7 was released and, thanks to its tokenizer changes, our costs shot up. We knew we didn't need Opus for everything but we didn't want to lose out on the intelligence for the cases where you really need it. So we decided…
TrueFoundry AI GatewayDec 2025 · truefoundry.com · ▲315Many teams connecting LLMs to external tools eventually encounter the same architectural issue: as more tools and agents are added, the integration pattern becomes an N×M mesh of direct connections. Each agent implements its own auth, retries, rate limiting, and logging; each tool needs credentials distributed to multiple places and observability becomes fragmented. We built LLM gateway with this goal to provide a single place to manage authentication, authorization, routing, and observability for MCP servers, with a path toward a more general agent-gateway architecture in the future. The…

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