Skip to content
Back to the index

datagoat-decide

datagoat.ioInfrastructure

No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 14 Oct 2026. How this is checked

datagoat-decide is an MIT-licensed Python package that answers decision steps in AI agents and falls back to an AI model when needed. It is intended for developers building agent workflows, including LangGraph-based systems.

Inferred · not functionally tested

Open SourceMITWebCLISelf-hostedAPI
datagoat-decide preview
Visit datagoat.io

Overview

4 features

Purpose: Adding reliable decision steps to AI agents without requiring an AI call for every decision.

Inferred · not functionally tested

Audience: AI agent developers

Inferred · not functionally tested

Functions: agents, workflow_automation

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI, WEB · deployment: browser, cli, self_hosted, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: datagoat.io · github.com. These links do not verify the individual claims.

datagoat-decide is a Frameworks & runtimes project. Inferred · not functionally tested: It focuses on adding reliable decision steps to AI agents without requiring an AI call for every decision. Inferred · not functionally tested: It is built as an open-source project for AI agent developers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: datagoat-decide is available on the web, the command line, and API, and it can be self-hosted.

It is developed by Dmitri Milstein-Match, and it first shipped in 2026. Inferred · not functionally tested: Key capabilities include decision steps, AI fallback, and agent integration.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Decision steps
  • AI fallback
  • Agent integration
  • LangGraph support

Topics: Inferred · not functionally tested

Tags
agent-decisionsfallback-logiclanggraphagent-workflows
AI capabilities
TextStructured
Inference: Hybrid

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
BrowserCLISelf-hostedAPI-only

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceGitHub

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed14 Oct · 02:50 UTC
    datagoat-decide seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about datagoat-decide

What does datagoat-decide do?
Inferred · not functionally tested: Datagoat-decide focuses on adding reliable decision steps to AI agents without requiring an AI call for every decision. It is catalogued under Frameworks & runtimes on PulseGate.
Who should use datagoat-decide?
Inferred · not functionally tested: datagoat-decide is an open-source project built for AI agent developers.
Is datagoat-decide free?
Basis unknown · not verified: Yes — datagoat-decide is open source under the MIT license and free to use.
What platforms does datagoat-decide run on?
Basis unknown · not verified: datagoat-decide runs on the web, the command line, and API. It can also be self-hosted.
Is datagoat-decide still active?
Unverified. datagoat-decide has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What are alternatives to datagoat-decide?
Similar projects tracked by PulseGate include Antigravity Multiagents Starterpack, Coalesce Local UI, and Blueprint.Antigravity Multiagents StarterpackCoalesce Local UIBlueprint
Who develops datagoat-decide?
datagoat-decide is developed by Dmitri Milstein-Match.
When did datagoat-decide launch?
datagoat-decide first shipped in 2026.

Also in Frameworks & runtimes

Same category — not a similarity match