AI · alternatives · 2026
24 alternatives to Agent Gateway
Lossless token compression reduces costs by 50%‑90%.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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Context Gateway▲220We built an open-source proxy that sits between coding agents (Claude Code, OpenClaw, etc.) and the LLM, compressing tool outputs before they enter the context window. Demo: https://www.youtube.com/watch?v=-vFZ6MPrwjw#t=9s. Motivation: Agents are terrible at managing context. A single file read or grep can dump thousands of tokens into the window, most of it noise. This isn't just expensive — it actively degrades quality. Long-context benchmarks consistently show steep accuracy drops as context grows (OpenAI's GPT-5.4 eval goes from 97.2% at 32k to 36.6% at 1M…
Mar 2026 · github.com · its alternatives →
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Paritok▲258Spend up to 85% less and run 3× longer coding agent sessions
Aug 2026 · paritok.com · its alternatives →
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Use AI models without managing keys or billing
Dec 2025 · docs.netlify.com · its alternatives →
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Many 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…
Dec 2025 · truefoundry.com · its alternatives →
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Prompt injection and token savings - #1 in benchmarks
Jul 2026 · constellationgate.ai · its alternatives →
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AgentReady▲118Compression API that reduces prompt size by 40-60% before sending to your LLM. Your API key never leaves your environment.
Feb 2026 · agentready.cloud · its alternatives →
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TokenZip▲82Open protocol for AI agents to share memory, not tokens
Mar 2026 · tokenzip.org · its alternatives →
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Conduit▲137Fix the tool-list bloat slowing your AI agent
Jun 2026 · toolport.app · its alternatives →
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Tokenwise▲143A smart LLM proxy that shows where you're overpaying
Jun 2026 · tokenwisehq.com · its alternatives →
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IQ Routing▲100Route every LLM call to the cheapest model that holds quality. Chatbots, RAG, agent loops, and finance. Cut spend 40 to 80 percent, measured on our own traffic, live in thirty seconds.
Aug 2026 · iq-routing.com · its alternatives →
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Compress agent messages to reduce LLM token cost
May 2026 · github.com · its alternatives →
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TokenVeil▲12Self-hosted AI proxy. Your data never leaves your network.
Jul 2026 · tokenveil.eu · its alternatives →
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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 · its alternatives →
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- 19TC
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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 · its alternatives →
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Autotune▲8Time to first token is 39% faster Agent wall times decrease by 46% No swaps Tracks your resource usage in real-time and adjusts how the model runs so that it works perfectly on your device. Implements KV cache sizing, prefix caching, live RAM pressure management, context trimming, KV quantization, and more. Built a ton of features 10k downloads and climbing consider using it and giving it a star :)
May 2026 · autotunellm.com · its alternatives →
- 24BN
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 · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →