r/bestai2026

Builders-welcome post with the substance up front (disclosure: I'm the maintainer). OmniRoute is a free, MIT, self-hosted AI gateway — one OpenAI-compatible endpoint over 237 providers — built around two problems: runs dying on a provider 429, and tokens bleeding on tool/log output.

One endpoint, 237 providers — 90+ of them free. You point any tool or agent at a single OpenAI-compatible endpoint (localhost:20128/v1) and it can reach 237 LLM providers without you rewriting anything. 90+ have free tiers and 11 are free forever (no card), which aggregates to ~1.6B documented free tokens/month — and that's honest, pool-deduped math (we count each shared pool once instead of inflating it; the methodology is public in the repo). There's a one-command setup-* for 13+ coding tools (Claude Code, Codex, Cursor, Cline, Roo, Kilo, Gemini CLI…), so switching your existing setup over takes seconds.

Fallback combos — so it never stops mid-task. A "combo" is a ladder of models the router walks automatically: your subscription first, then API keys, then cheap models, then free ones. When a provider returns a 500 or you hit a rate limit, it slides to the next target in milliseconds, mid-request, and your tool never even sees the error. There are 17 routing strategies (priority, weighted, round-robin, cost-optimized, auto/coding:fast…) plus three resilience layers — a per-provider circuit breaker, a per-key cooldown, and a per-model lockout — so one dead key can't take down a whole provider.

Fusion — an ensemble mode for the hard steps. Beyond simple routing, there's a fusion strategy that fans a single prompt out to a panel of different models in parallel and then has a judge model synthesize one best answer (mixture-of-agents, built in). It's cost-aware, so easy turns stay on one fast model and it only fuses when the step is worth it.

A 10-engine compression pipeline — the part most routers don't have. Every request flows through a transparent compression pass you can toggle/stack per combo. Instead of one trick, it stacks the best of the open-source ecosystem: RTK filters command/tool output (git diffs, test logs, builds) at 60–90%, Microsoft's LLMLingua-2 does ML semantic pruning, Caveman handles prose, session-dedup strips repeats across turns. Critically, code, URLs and JSON are preserved byte-perfect, and a default-on inflation guard throws the compressed version away and sends the original if compressing would actually grow the prompt — it never makes things worse. On tool-heavy sessions that's ~89% average input-token reduction (an 8k-token git diff becomes a few hundred). Full credit to every upstream project (RTK, Caveman, LLMLingua-2, Troglodita) is in the README.

Agent-native — the agent can drive the router itself. There's a built-in MCP server (95 tools across 30 audited scopes, over stdio / SSE / streamable-HTTP), plus A2A (v0.3, JSON-RPC 2.0) support. That means an agent can query providers, switch combos, read its own remaining quota and manage memory through the gateway — not just consume tokens through it.

It's 100% local (zero telemetry, AES-256-GCM at rest), MIT-licensed, has a prompt-injection guard on every LLM route, opt-in memory, and runs on npm, Docker, desktop or your phone via Termux.

For context on whether it's worth your time: it's grown to ~9.8K GitHub stars, 1,490+ forks and 280+ contributors in ~4.5 months, with 21,000+ automated tests and 1,830+ issues closed — so it's a battle-tested project, not a brand-new experiment.

npm install -g omniroute

GitHub: https://github.com/diegosouzapw/OmniRoute · Site: https://omniroute.online

Would value a critique of the routing/compression architecture from this crowd.

Running a small online shop by myself means I have to juggle a million tasks, from taking product photos to managing my finances. Finding reliable tools has been key to keeping things on track, and I thought I'd share a few that have really helped me.

First up is SaySo. This one is a bit of a lifesaver since I can just speak my emails and product listings instead of typing them out. It's voice-first and surprisingly accurate, even with my occasional mumbling. The best part? It’s super private, with zero data retention, so I don't have to worry about my info floating around. It’s not perfect, though. Sometimes it mishears my commands, which can be a little frustrating when I'm in a rush.

Next, for my product photos, I’ve been using snappyit (https://snappyit.ai). It's pretty handy for turning my phone photos into clean, professional-looking shots. It does ghost-mannequin effects and swaps backgrounds with ease, which saves me a ton of time and money compared to hiring a studio. Costs about $0.10 to $0.30 per image, so it's way cheaper than the $15 to $50 I’d be spending otherwise. The only downside is that if I'm shooting products with complex textures or unusual shades, I have to double-check the color accuracy.

Then there’s Apolosign, which is basically a fancy digital calendar that helps me keep my shop schedule and shipping deadlines visible at all times. It's a WiFi smart display, and I love that I can glance over and see everything I need to get done for the day. It’s not revolutionary, but it does the job, and I’d be lost without it.

Of course, I still rely on Canva for creating marketing materials and social media posts. It’s got a ton of templates, which is great, but I sometimes find it a bit clunky when I'm trying to be more creative. Still, it’s better than starting from scratch, and it gets the job done.

And lastly, QuickBooks for managing my finances. It’s a well-known tool, and while it’s comprehensive, it can be a bit overwhelming. I had to spend quite a bit of time figuring it out in the beginning. But now that I'm used to it, it's an essential part of keeping my books in order.

TL;DR: Sayso for voice-typed emails and listings, snappyit for cost-effective product photos, Apolosign for keeping my schedule visible, Canva for design needs, and QuickBooks for finances. Each has its ups and downs, but together, they keep my shop running smoothly.