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AI · alternatives · 2026

24 alternatives to Invoke Network

LLMs that do: Invoke connects LLMs to real API services

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.

  1. 1
    LLM Gatewayfree tier▲296

    I built an OpenAI-compatible LLM gateway that routes requests to OpenAI, Anthropic, Ollama, vLLM, llama-server, SGLang... anything that speaks /v1/chat/completions. Single Go binary, one YAML config file, no infrastructure. It does the things you'd expect from this kind of gateway... semantic routing via a three-layer cascade (keyword heuristics, embedding similarity, LLM classifier) that picks the best model when clients omit the model field, weighted round-robin load balancing across local inference servers with health checks and failover. The part I think is most…

    2025 · llmgateway.io · its alternatives →

  2. 2

    Hey HN, we’re building an open specification that lets agents discover and invoke APIs with natural language, built on the OpenAPI standard. agents.json clearly defines the contract between LLMs and API as a standard that's open, observable, and replicable. Here’s a walkthrough of how it works: https://youtu.be/kby2Wdt2Dtk?si=59xGCDy48Zzwr7ND. There’s 2 parts to this: 1. An agents.json file describes how to link API calls together into outcome-based tools for LLMs. This file sits alongside an OpenAPI file. 2. The agents.json SDK loads agents.json files as tools for an LLM that…

    2025 · github.com · its alternatives →

  3. 3

    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 →

  4. 4
    Interlify▲247

    Connect your APIs to LLMs in minutes

    2025 · its alternatives →

  5. 5
    Toolhouse▲424

    Connect AI to the real world

    2024 · toolhouse.ai · its alternatives →

  6. 6
    AgentSky▲430

    Any harness, any LLM — cloud-hosted agents on demand.

    Aug 2026 · agentsky.dev · its alternatives →

  7. 7

    I spent a few hours last weekend testing whether AI can replace code by executing directly. Built a contact manager where every HTTP request goes to an LLM with three tools: database (SQLite), webResponse (HTML/JSON/JS), and updateMemory (feedback). No routes, no controllers, no business logic. The AI designs schemas on first request, generates UIs from paths alone, and evolves based on natural language feedback. It works—forms submit, data persists, APIs return JSON—but it's catastrophically slow (30-60s per request), absurdly expensive ($0.05/request), and has zero UI…

    Nov 2025 · github.com · its alternatives →

  8. 8

    Hey HN, We've been building a multi-model API for LLMs called OpenRouter since we launched the Window AI extension in April this year [0]. The events of the last week make it clear the LLM landscape is unpredictable, so LLM aggregators are picking up interest. Unlike others, we're making a router on top of a public, explorable dataset. We recently built a way to rank and visualize this data, including the token counts we see going to and from different models, both open-sourced (like Llama, Mistral, finetunes, and variants) and closed-sourced (OpenAI, Anthropic). The API supports - 50+…

    Apr 2026 · openrouter.ai · its alternatives →

  9. 9
    Arch▲314

    Hey HN — I’m Adil from Katanemo (with Salman, Shuguang, and Meiyu) We previously shared an early version of this project as ArchGW. Based on customer feedback, the scope expanded from “LLM routing and model access” into something broader: delivery infrastructure for agentic applications. We renamed it to Plano and reworked the architecture accordingly. The problem On-the-ground AI practitioners will tell you that calling an LLM is not the hard part. The really hard part is delivering agentic applications to production quickly and reliably, then iterating without rewriting system code every…

    2024 · github.com · its alternatives →

  10. 10

    AI prompt engineering business model guide

    2023 · shushantlakhyani.gumroad.com · its alternatives →

  11. 11
    Astra AI▲142

    Universal API for adding any app to your LLM

    2024 · its alternatives →

  12. 12

    Any process to AI with all LLM models

    2024 · officely.ai · its alternatives →

  13. 13

    Revolutionize LLMs chat platform with pay-as-you-go pricing

    2025 · chat.helpedby.ai · its alternatives →

  14. 14

    Build local LLMs using top data science libraries

    2023 · its alternatives →

  15. 15
    Taylor AI▲118

    Fine-tune open source LLMs in minutes

    2023 · trytaylor.ai · its alternatives →

  16. 16

    Connect once to every major AI model. Run AI workflows in the background while your backend controls what AI sees.

    Jan 2026 · modelriver.com · its alternatives →

  17. 17

    Integrate LLMs into your product in minutes with AI's help

    2023 · outset.ai · its alternatives →

  18. 18

    Proxy remote LLM API as Ollama and LM Studio, for using them in JetBrains AI Assistant - Stream29/ProxyAsLocalModel

    2025 · github.com · its alternatives →

  19. 19

    Access all AI models you need through a single, reliable API

    2025 · llmapi.in · its alternatives →

  20. 20
    Agihalo▲68

    LLM Router for A.I Agent & Saas with x402

    Jan 2026 · agihalo.com · its alternatives →

  21. 21

    Hi HN, Matvey, Ildar, Joey, and Dominik here. If you're building LLM agents that use tools, you're probably worried about prompt injection attacks that can hijack those tools. We were too, and found that solutions like prompt-based filtering or secondary "guard" LLMs can be unreliable. Our thesis is that agent security should be handled at the network level between the agent and the LLM, just like a traditional web application firewall. So we built Archestra Platform: an open-source gateway that acts as a secure proxy for your AI agents. It's designed to be a deterministic firewall against…

    2025 · archestra.ai · its alternatives →

  22. 22

    Recently featured in a LangChain blog https://blog.langchain.dev/empowering-development-with-flowt... , use LLMs to construct an API first runnable workflow with an IDE experience.

    2024 · github.com · its alternatives →

  23. 23

    One Gateway to Powerful AI Models

    Jul 2026 · tokenhub.com · its alternatives →

  24. 24
    LLM-CLI▲13

    Cloud and local LLM AI assistant for the command line

    2025 · github.com · 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 →