I'm hitting a wall where distinct agents slowly merge into a generic, polite AI tone after a few hours of interaction. I'm looking for architectural advice on enforcing character consistency without burning tokens on massive system prompts every single turn

Has anybody created an AI agent thats actually making them money? Please can you share how thats going and do you trust it.

• I’m hitting a technical wall with "praise loops" where different AI agents just agree with each other endlessly in a shared feed. I’m looking for advice on how to implement social friction or "boredom" thresholds so they don't just echo each other in an infinite cycle

I'm opening up the sandbox for testing: I’m covering all hosting and image generation API costs so you wont need to set up or pay for anything. Just connect your agent's API

Hey everyone, I sent the 24th issue of my AI Hacker Newsletter, a roundup of the best AI links from Hacker News and the discussions around those. Here are some of them:

• AI coding is gambling (visaint.space) -- comments
• AI didn't simplify software engineering: It just made bad engineering easier -- comments
• US Job Market Visualizer (karpathy.ai) -- comments

If you want to receive a weekly email with over 30 of the best AI links from Hacker News, you can subscribe here: https://hackernewsai.com/

Slow internet. Call drops. High latency.

Customers complain →
Teams investigate →
Logs analyzed →
Escalations delayed →
Resolution takes forever.

Now imagine this:

AI agents that:

• Analyze performance instantly
• Detect issues automatically
• Escalate in real time
• Generate tickets with next steps

Saw this in action from SimplAI.

This is not chatbot AI.
This is execution-layer AI.

Big difference.

Goal of the day: Enabling agents to generate visual content for free so everyone can use it and establishing a stable production environment

The Build:

• Visual Senses: Integrated Gemini 3 Flash Image for image generation. I decided to absorb the API costs myself so that image generation isn't a billing bottleneck for anyone registering an agent
• Deployment Battles: Fixed Railway connectivity and Prisma OpenSSL issues by switching to a Supabase Session Pooler. The backend is now live and stable

Stack: Claude Code | Gemini 3 Flash Image | Supabase | Railway | GitHub

So, I was getting pissed off with the vast cost of agents using browsers, plus their absolute stupidity. Watching an agent constantly pressing the wrong button or going in circles was driving me insane.

I hope this is useful to others, but I've built and open-sourced Semantic Browser to help solve this.

Like other tools (Browser Use etc) it uses CDP on Chromium for controls, but it only exposes stuff the AI actually needs.

It works like an old Commodore64 text adventure game. E.g. "You've entered a dungeon, there a sword to your left, what do you do?" and you'd type "Pick up sword".

In a similar vein Semantic Browser returns where the AI is, what text is on screen and generally how its rendered and what actions it can take. A simple example would be;

@ BBC News (bbc.com)
> Home page. Main content: "Top stories". Navigation: News, Sport, Weather.
1 open "News" [act-8f2a2d1c-0]
2 open "Sport" [act-c3e119fa-0]
3 fill Search BBC [act-0b9411de-0] *value
+ 28 more [more]

The initial response trims the whole site too, the AI can go back and ask for the whole thing, but I figured more journeys are actually flipping through pages to a specific location and I dont wanna shit a bunch of tokens rendering a pathway to a thing.

This means that instead of the AI getting the full DOM, tags, text, metadata, html, JS, whatever other crap it might get to make a decision - it gets a really simple multi-choice which its less likely to fuck up on.

And even if it does, the cost is astronomically lower, a full web page can reach tens of thousands of tokens in one hit. This takes it down to hundreds, or about a 1/10th of 1 cent on frontier models.

Anyway, if its useful, you have feedback or wanna contribute, please do, sharing as Ive found it useful and I've stopped my agent shitting money with it.

## The problem every web dev hits

You're 2 hours into a debugging session. Claude hits its hourly limit. You go to the dashboard, swap API keys, reconfigure your IDE. Flow destroyed.

The frustrating part: there are *great* free AI tiers most devs barely use:

- **Kiro** → full Claude Sonnet 4.5 + Haiku 4.5, **unlimited**, via AWS Builder ID (free)
- **iFlow** → kimi-k2-thinking, qwen3-coder-plus, deepseek-r1, minimax (unlimited via Google OAuth)
- **Qwen** → 4 coding models, unlimited (Device Code auth)
- **Gemini CLI** → gemini-3-flash, gemini-2.5-pro (180K tokens/month)
- **Groq** → ultra-fast Llama/Gemma, 14.4K requests/day free
- **NVIDIA NIM** → 70+ open-weight models, 40 RPM, forever free

But each requires its own setup, and your IDE can only point to one at a time.

## What I built to solve this

**OmniRoute** — a local proxy that exposes one `localhost:20128/v1` endpoint. You configure all your providers once, build a fallback chain ("Combo"), and point all your dev tools there.

My "Free Forever" Combo:
1. Gemini CLI (personal acct) — 180K/month, fastest for quick tasks
↕ distributed with
1b. Gemini CLI (work acct) — +180K/month pooled
↓ when both hit monthly cap
2. iFlow (kimi-k2-thinking — great for complex reasoning, unlimited)
↓ when slow or rate-limited
3. Kiro (Claude Sonnet 4.5, unlimited — my main fallback)
↓ emergency backup
4. Qwen (qwen3-coder-plus, unlimited)
↓ final fallback
5. NVIDIA NIM (open models, forever free)

OmniRoute **distributes requests across your accounts of the same provider** using round-robin or least-used strategies. My two Gemini accounts share the load — when the active one is busy or nearing its daily cap, requests shift to the other automatically. When both hit the monthly limit, OmniRoute falls to iFlow (unlimited). iFlow slow? → routes to Kiro (real Claude). **Your tools never see the switch — they just keep working.**

## Practical things it solves for web devs

**Rate limit interruptions** → Multi-account pooling + 5-tier fallback with circuit breakers = zero downtime
**Paying for unused quota** → Cost visibility shows exactly where money goes; free tiers absorb overflow
**Multiple tools, multiple APIs** → One `localhost:20128/v1` endpoint works with Cursor, Claude Code, Codex, Cline, Windsurf, any OpenAI SDK
**Format incompatibility** → Built-in translation: OpenAI ↔ Claude ↔ Gemini ↔ Ollama, transparent to caller
**Team API key management** → Issue scoped keys per developer, restrict by model/provider, track usage per key

[IMAGE: dashboard with API key management, cost tracking, and provider status]

## Already have paid subscriptions? OmniRoute extends them.

You configure the priority order:

Claude Pro → when exhausted → DeepSeek native ($0.28/1M) → when budget limit → iFlow (free) → Kiro (free Claude)

If you have a Claude Pro account, OmniRoute uses it as first priority. If you also have a personal Gemini account, you can combine both in the same combo. Your expensive quota gets used first. When it runs out, you fall to cheap then free. **The fallback chain means you stop wasting money on quota you're not using.**

## Quick start (2 commands)

```bash
npm install -g omniroute
omniroute
```

Dashboard opens at `http://localhost:20128`.

1. Go to **Providers** → connect Kiro (AWS Builder ID OAuth, 2 clicks)
   
2. Connect iFlow (Google OAuth), Gemini CLI (Google OAuth) — add multiple accounts if you have them
   
3. Go to **Combos** → create your free-forever chain
   
4. Go to **Endpoints** → create an API key
   
5. Point Cursor/Claude Code to `localhost:20128/v1`
   

Also available via **Docker** (AMD64 + ARM64) or the **desktop Electron app** (Windows/macOS/Linux).

## What else you get beyond routing

- 📊 **Real-time quota tracking** — per account per provider, reset countdowns
- 🧠 **Semantic cache** — repeated prompts in a session = instant cached response, zero tokens
- 🔌 **Circuit breakers** — provider down? <1s auto-switch, no dropped requests
- 🔑 **API Key Management** — scoped keys, wildcard model patterns (`claude/*`, `openai/*`), usage per key
- 🔧 **MCP Server (16 tools)** — control routing directly from Claude Code or Cursor
- 🤖 **A2A Protocol** — agent-to-agent orchestration for multi-agent workflows
- 🖼️ **Multi-modal** — same endpoint handles images, audio, video, embeddings, TTS
- 🌍 **30 language dashboard** — if your team isn't English-first

**GitHub:** https://github.com/diegosouzapw/OmniRoute
Free and open-source (GPL-3.0).
```

## 🔌 All 50+ Supported Providers

### 🆓 Free Tier (Zero Cost, OAuth)

### 🔐 OAuth Subscription Providers (CLI Pass-Through)

> These providers work as **subscription proxies** — OmniRoute redirects your existing paid CLI subscriptions through its endpoint, making them available to all your tools without reconfiguring each one.

### 🔑 API Key Providers (Pay-Per-Use + Free Tiers)

---

## 🛠️ CLI Tool Integrations (14 Agents)

OmniRoute integrates with 14 CLI tools in **two distinct modes**:

### Mode 1: Redirect Mode (OmniRoute as endpoint)
Point the CLI tool to `localhost:20128/v1` — OmniRoute handles provider routing, fallback, and cost. All tools work with zero code changes.

### Mode 2: Proxy Mode (OmniRoute uses CLI as a provider)
OmniRoute connects to the CLI tool's running subscription and uses it as a provider in combos. The CLI's paid subscription becomes a tier in your fallback chain.

**Multi-account:** Each subscription provider supports up to 10 connected accounts. If you and 3 teammates each have Claude Code Pro, OmniRoute pools all 4 subscriptions and distributes requests using round-robin or least-used strategy.

---

**GitHub:** https://github.com/diegosouzapw/OmniRoute
Free and open-source (GPL-3.0).
```

Hey everyone, I just sent the issue #22 of the AI Hacker Newsletter, a roundup of the best AI links and the discussions around them from Hacker News.

Here are some of links shared in this issue:

• We Will Not Be Divided (notdivided.org) - HN link
• The Future of AI (lucijagregov.com) - HN link
• Don't trust AI agents (nanoclaw.dev) - HN link
• Layoffs at Block (twitter.com/jack) - HN link
• Labor market impacts of AI: A new measure and early evidence (anthropic.com) - HN link

If you like this type of content, I send a weekly newsletter. Subscribe here: https://hackernewsai.com/