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AGiXT

Josh-XT/AGiXT

Dynamic AI Agent Automation Platform

GraphCanon updated today · GitHub synced today

3.2k stars445 forksLast push 3w Python MIT

Decision brief

Orchestrates diverse AI providers with adaptive memory in Python.

Good fit when

  • Need to manage multiple AI providers under one platform
  • Require dynamic task execution across different AI models

Avoid when

  • Looking for a single-AI provider solution
  • Do not require complex, plugin-based customization and automation

Observed Jul 12, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Active (23d since push)
As of today
Provenance
Not a fork · Personal account
As of today
Security (OSV)
16 low (16 low)
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install AGiXT
PyPI

How it fits your stack(9)

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Integrates

Relationship graph

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Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

AGiXT orchestrates instruction management and complex task execution across diverse AI providers using adaptive memory and a versatile plugin system.

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Aug 20, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Aug 20, 2026

Languages
python

Source: github.language+pyproject.toml · Aug 20, 2026

Categories

Graph entities

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 20, 2026)

pip install agixt
Source link

Tags

README

Quick Start

pip install agixt
agixt start

For detailed installation and configuration instructions, please visit the documentation site.

For agents

This page has a .md twin and JSON over the API.

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