GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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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
- Steady (53d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- 16 low (16 low)
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install AGiXTHow it fits your stack(9)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Integrates
Relationship graph
Optional deeper exploration of typed edges and category neighbours.
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 · Sep 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 20, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 20, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
Quick 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.