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OpenDecider · House #28,969

Open decision models that route AI agents without LLM calls

In the Building AI agents neighborhood (AI and agents). In town since 2 Oct 2026.

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What Tablif read on OpenDecider's site

OpenDecider describes itself as: “OpenDecider Open decision models that route AI agents without LLM calls”

What it is

Calls itself “decision models”.

  • Calls itself: decision models
“Open decision models”

Where it puts itself

Its one line of difference: “Agent workflows often call an LLM just to decide where a request goes next. OpenDecider answers in one forward pass with a calibrated confidence”

“Agent workflows often call an LLM just to decide where a request goes next. OpenDecider answers in one forward pass with a calibrated confidence”

How it runs

A API for Linux, Windows and macOS. Runs locally and works offline. Distributed through the npm. Offers an API. Open source. AI is the core of the product.

  • Kind: api
  • Runs on: Linux · Windows · macOS
  • Runs where: on the device, offline
  • Distributed via: npm
  • API: yes
  • Open source: yes
  • AI role: core to the product
“…pip install " opendecider[serve] "”
“Works on Linux, Windows and macOS”

What it works with

Integrates with ADK, Agno, CrewAI and 5 more.

  • Integrates with: ADK · Agno · CrewAI · +5
“Works with LangGraph, CrewAI, Agno, LlamaIndex, ADK and MCP.”
“LM Studio, Ollama and vLLM”

What it offers as proof

Live, no waitlist. Publishes docs.

“…serving -> https://manjunathshiva.github.io/opendecider/guides/serve/”

Sources

Tablif read these pages, last on 2 Oct 2026. Everything above is what the product says about itself; Tablif does not verify every claim.

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