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1.3.0

PyPI

aiking

AI King — public CLI + thin SDK (Apache-2.0). Full engine in aiking-core.

Published3 May 2026

Direct dependencies2

Transitive dependenciesNot calculated

README

Version 1.3.0 documentation

AI King

Single-distribution AI agent platform stack — governance, body, substrate, and optional engine in one pip install.

Install

pip install aiking          # shell + transitive engine + concinno migration deps
pip install "aiking[body]"  # add aiking.body.engine adapters (persona-api)
pip install "aiking[memoria]"  # Windows-only RAM cleanup tray (concinno-skills-memoria)
pip install "aiking[skills]"   # full opt-in skill suite

Quick check

aiking --version
aiking info
aiking layers

aiking info prints the installed substrate adapter (defaults to the vendored MIT fork substrate) and any aiking.core_engine entry points discovered from aiking-core.

What you get

Layer	Module	License
Governance	`aiking.governance`	Apache-2.0
Body	`aiking.body`	Apache-2.0
Substrate	`aiking.substrate`	Apache-2.0
Engine	`aiking_core`	AGPL-3.0-or-later / Commercial

The aiking shell is permissively Apache-2.0 licensed. The substantive engine (ZIQ, FieldRead, Cerno, guards, runtime, PSYCHE) lives in aiking-core (AGPL-3.0-or-later, commercial dual). They are wired together via the aiking.core_engine entry-point group — the shell does not import aiking_core directly, preserving the AGPL boundary.

Migrating from concinno / persona-api

The 5.3.0 release of concinno and the 2.1.0 release of persona-api emit DeprecationWarning and forward to aiking modules. Removal is scheduled for concinno 6.0.0 / persona-api 3.0.0 (~2026-11-01).

Update imports:

from concinno.guards.X      → from aiking.governance.guards.X
from concinno.cognitive.Y   → from aiking.governance.c0_router (re-export)
from concinno.ziq           → from aiking_core.ziq
from concinno.field_read    → from aiking_core.fieldread
from persona.engine         → from aiking.body.engine
from persona.cerno          → from aiking_core.cerno

Known caveat (1.0.1)

from aiking.body import engine requires pip install "aiking[body]" to pull persona-api. As of persona-api 2.1.0 the package has an upstream from .engine import PersonaEngine self-import bug that prevents import persona from succeeding even when installed. Wait for persona-api 2.1.1 for that path to work end-to-end. Everything else — aiking info, aiking layers, from aiking_core import ziq, from aiking_core import fieldread, from aiking_core import cerno, from aiking.governance import guards, from aiking.substrate import get_substrate — is verified working from a clean pip install aiking on Python 3.10–3.13.

License

Apache License, Version 2.0. See LICENSE. The optional aiking-core engine is AGPL-3.0-or-later (commercial dual; see COMMERCIAL_LICENSE.md).

Source

https://github.com/aiking931931/ai-king

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Declared dependencies 3

Native requirements

2 direct targetsNot calculated transitive count

Package / target Requirement Relationship

Package / target	Requirement	Relationship
aiking-core Environment { "extras": "", "marker": null, "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`aiking-core>=1.0.1`	runtime
concinno-skills-memoria Environment { "extras": "", "marker": "sys_platform == \"win32\" and extra == \"memoria\"", "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`concinno-skills-memoria>=0.5.0; sys_platform == "win32" and extra == "memoria"`	runtime
concinno-skills-memoria Environment { "extras": "", "marker": "sys_platform == \"win32\" and extra == \"skills\"", "requires_python": ">=3.10", "evaluation": "NOT_EVALUATED" }	`concinno-skills-memoria>=0.5.0; sys_platform == "win32" and extra == "skills"`	runtime

aiking-core

Environment

{
  "extras": "",
  "marker": null,
  "requires_python": ">=3.10",
  "evaluation": "NOT_EVALUATED"
}

aiking-core>=1.0.1

runtime

concinno-skills-memoria

Environment

{
  "extras": "",
  "marker": "sys_platform == \"win32\" and extra == \"memoria\"",
  "requires_python": ">=3.10",
  "evaluation": "NOT_EVALUATED"
}

concinno-skills-memoria>=0.5.0; sys_platform == "win32" and extra == "memoria"

runtime

concinno-skills-memoria

Environment

{
  "extras": "",
  "marker": "sys_platform == \"win32\" and extra == \"skills\"",
  "requires_python": ">=3.10",
  "evaluation": "NOT_EVALUATED"
}

concinno-skills-memoria>=0.5.0; sys_platform == "win32" and extra == "skills"

runtime

Distribution files

2 collected

aiking-1.3.0-py3-none-any.whl

bdist_wheel · 1,482.81 KB · Python py3

Source file

aiking-1.3.0.tar.gz

sdist · 1,306.8 KB · Python source

Source file

Repository

PENDING

aiking931931/ai-king

Shared repository data · GitHub

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Observed since 21 Oct, 11:06 UTC

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package_version:9f7f5ff3b448ad08b88e86ecda3db854a0764f0c8dfee638c7cfad34608dd8c8

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