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Alternatives

Products that do what Agent Gateway does

Lossless token compression reduces costs by 50%‑90%.

  1. 1
    Edgee196

    The AI Gateway that TL;DR tokens

    Feb 2026

  2. 2

    Make Claude Code faster and cheaper without losing context

    Mar 2026

  3. 3
    Web Speed118

    Kill the 'Token Tax.' 90% cheaper agents.

    May 2026

  4. 4

    Prompt injection and token savings - #1 in benchmarks

    Jul 2026

  5. 5

    Use Codex at 35.6% lower costs

    Apr 2026

  6. 6

    Persistent memory for AI coding agents

    Apr 2026

  7. 7

    Strava for your coding assistants

    Apr 2026

  8. 8
    Caveman161

    why use many token when few do trick

    24d ago · caveman.so

  9. 9
    Actx0100

    Memory infrastructure for AI agents.

    16d ago · actx0.com

  10. 10
    Conduit137

    Fix the tool-list bloat slowing your AI agent

    Jun 2026

  11. 11IB

    Hey HN: Kaveh here, the founder of https://www.usage.ai/ We help companies drive down AWS EC2 spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up spending time managing costs rather than focusing on business problems. Previous to founding Usage, I worked on high-performance computing research at JP Morgan Chase and as a software engineer at a number of smaller startups. Here's how it works: We are typically brought in by a DevOps manager to cut AWS EC2 costs. The app is entirely self-service and the savings are generated automatically,…

    2022 · usage.ai

  12. 12

    10x cheaper cloud encoding

    2018

  13. 13IB

    Hey HN: I'm Kaveh, the founder of Usage (https://www.usage.ai/) We help companies drive down AWS costs. Why? Because the way it's done now is a pain. Stakeholders, especially engineers, are required to spend unnecessary time manually finding underutilized or overly expensive EC2s. We believe the optimization process should be done automatically through a series of sophisticated algorithms. At the moment, there are over 70,000 AWS EC2 prices - doing that manually just won't scale at most organizations. My background is in software engineering. Previous to founding Usage, I…

    2020

  14. 14

    One API for all documents your AI agents need

    Mar 2026

  15. 15

    Trajectory-aware LLM routing that cuts agent cost

    10d ago · iq-routing.com

  16. 16
    Warren86

    Infrastructure for coding-agent workloads

    11d ago · warren.run

  17. 17LC

    Hi HN, I'm building Librarian (https://uselibrarian.dev/), an open-source (MIT) context management tool that stops AI agents from burning tokens by blindly re-reading their entire conversation history on every turn. The Problem: If you're building agentic loops in frameworks like LangGraph or OpenClaw, you hit two walls fast: Financial Cost: Token usage scales quadratically over long conversations. Passing the whole history every time gets incredibly expensive. Context Rot: As the context window fills up, the LLM suffers from the "Lost in the Middle" effect. Response latency…

    Feb 2026 · uselibrarian.dev

  18. 18

    Run AI locally and own the whole workflow

    19d ago · meterless.ai

  19. 19CS

    Hi HN! Token cost has started to become a high topic of concern to all of us. I tried a few (awesome) tools such as rtk, caveman, and the recent (hillarious but effective) ponytail. What they usually do, is in-line token reduction, e.g. try to compress requests / responses as much as possible. But then it hit me (and I’m sure others had similar ideas) - just like we have routers that pick the right model, why not have something that will also narrow down the amount of available tools, skills and mcps based on repo/context? People usually accumulate skills, agents, MCP servers,…

    Jun 2026 · github.com

  20. 20BN

    I’ve been applying backpressure routing (Tassiulas-Ephremides, 1992) to payment flows between AI agents. Streaming payment protocols let agents pay each other in real time, but there's no congestion control. When a downstream agent hits capacity, money keeps arriving. No reroute, no throttle, no feedback signal. TCP solved this for data networks. Agent payment networks haven’t. Backproto makes receiver-side capacity a protocol primitive. Agents stake tokens to declare capacity (concave sqrt cap makes Sybil splitting unprofitable), dual-signed completion receipts track actual performance, and…

    Mar 2026 · backproto.io

  21. 21IB

    Hi everyone, I've been working on a side project over quarantine called Usage.ai and I finally feel comfortable enough to launch it. We're a service that plugs directly into AWS, automatically finds savings, and applies those savings at the press of a confirmation button all without ever needing to go to an AWS console. I'd love to get HN's thoughts on it! Demo: https://www.loom.com/share/2a6f1c8e4c214914a1cdd88c6fdec4ac Link: https://www.usage.ai/

    2020

  22. 22WB

    Hey HN: Kaveh here, founder of https://www.usage.ai/ We help companies drive down AWS, GCP, and Azure spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up spending time managing costs rather than focusing on business problems. I have been building Usage AI for almost 4 years now (4 year anniversary in 1 month from now!) with an incredible group of founding people. We started as a product just to help lower AWS EC2 costs, and now we do all major AWS services (such as RDS, OpenSearch, ElastiCache, and Redshift with more on the way) and other…

    2024

  23. 23AD
  24. 24

    Offline AI prompt compressor to save up to 50% on tokens

    Aug 2026 · shrinktoken.netlify.app

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