Heer-Patel69/Aetheris

Python

1

28 commits

updated Jul 18, 2026

See the code

README

Aetheris Engineering Operating System

     _    _____ _____ _   _ _____ ____  ___ ____
    / \  | ____|_   _| | | | ____|  _ \|_ _/ ___|
   / _ \ |  _|   | | | |_| |  _| | |_) || |\___ \
  / ___ \| |___  | | |  _  | |___|  _ < | | ___) |
 /_/   \_\_____| |_| |_| |_|_____|_| \_\___|____/

Python Version License Build Status Core Engine


What is Aetheris?

Aetheris is an AI Engineering Operating System designed to inject strict architectural discipline, engineering workflows, and deterministic persistence into any LLM runtime engine.

Core Philosophy: Stateless Reasoning over Stateful Projects

Traditional AI coding assistants rely heavily on fragile, short-term conversational chat history. Aetheris shifts this paradigm by treating the LLM as a stateless reasoning agent.

The entire execution state, memory, decisions, and system constraints live directly inside the repository under the hidden .aetheris/ directory layer. This ensures that the engineering context is version-controlled, fully auditable, and easily shared across multi-agent environments or human developer handoffs.


What Does It Do? (Core Features)

Aetheris powers your development workspace using a highly dynamic, Python-driven CLI core:

  • Dynamic Registry Tracking: Aetheris automatically crawls the workspace in real time using .gitignore-aware file discovery. It scales seamlessly to index a growing matrix of 244 Skills, 9 RFC engineering laws, and 170 SPECs execution contracts without any hardcoded filesystem limits.
  • Context Precision & Optimization (Headroom Integration): Automatically compiles and token-optimizes prompt payloads. It compresses heavy logs, machine-generated tracebacks, and dense JSON payloads while ensuring your core source code remains completely uncompromised.
  • 12-Phase Architectural Lifecycle: Moves AI code creation away from ad-hoc hacking. The operating system forces the agentic lifecycle to flow strictly through sequential, deliberate phases including: Requirements Analysis, UI/UX Design, DB Schema Definition, Security Hardening, Automated Code Verification, and Telemetry Instrumentation.
  • Global Runtime Routing Engine: Control background telemetry and process daemons (aetheris start and aetheris stop). These daemons manage whether the workspace compilation pipeline is actively intercepted and governed by the Aetheris Kernel or routed back cleanly to local native IDE configurations.

Prerequisites

Before installing Aetheris, ensure your system meets the following software stack requirements:

  1. Python Runtime: Python >= 3.10 installed globally and registered to your system path.
  2. Package Installer: pip updated to the latest version (python -m pip install --upgrade pip).
  3. Version Control: git system binary installed and available on the command line.
  4. System Dependencies: Internet connectivity (for cloud-based LLM routers) or a running local instance of Ollama / LM Studio (for completely offline local operations).

Step-by-Step Installation Protocols

Select the installation pathway that fits your deployment needs:

Pathway A: Local Development Installation (Editable Mode)

For developers actively modifying the Aetheris codebase. Installs the package globally, but links execution to your local workspace so any code changes inside src/ take effect immediately:

git clone https://github.com/aetheris/aetheris.git
cd aetheris
pip install -e .

Pathway B: Open-Source Distribution (Direct from GitHub)

For end-users deploying Aetheris globally on a target machine directly from a remote repository:

pip install git+https://github.com/aetheris/aetheris.git

Pathway C: Compiled Offline Packaging (.whl Wheel Builds)

For closed, offline enterprise environments where external internet access is restricted:

  1. Build the wheel package on an internet-enabled machine:
    pip install build
    python -m build
    
  2. Transfer the compiled wheel file from dist/ (e.g. aetheris-0.1.0-py3-none-any.whl) to the target machine.
  3. Install the wheel package offline:
    pip install aetheris-0.1.0-py3-none-any.whl
    

Interactive CLI Quick-Start Commands

Use the following CLI commands to manage the Aetheris workspace lifecycle:

CommandDescription
aetheris initScaffolds the structural directory layout (.aetheris/) in the current folder.
aetheris analyzeTriggers a real-time, .gitignore-aware filesystem crawl and lists registry counts.
aetheris startBoots the persistent telemetry proxies and routes coding tasks through the Kernel.
aetheris stopDismantles context daemons and returns execution control back to native IDE settings.
aetheris dashboardExposes the metrics dashboard endpoint (default: http://localhost:8448).
aetheris skill [name]Inspects and queries capabilities and skills registered in the system.

Operational State Routing

[!IMPORTANT] Running aetheris start spins up background context compression brokers. Once locked onto the system PID, the entire development pipeline is governed by Aetheris Kernel laws, verifying specifications and enforcing RFC compliance.

[!WARNING] Running aetheris stop safely detaches the Aetheris control plane. Standard text editor behavior is immediately restored, letting you pass prompts back directly to your local IDE's native LLM configurations without workspace interventions.

Contributors

Heer-Patel69

28 commits

Heer-Patel69/Aetheris

Python

1

28 commits

updated Jul 18, 2026

See the code

README

Aetheris Engineering Operating System

     _    _____ _____ _   _ _____ ____  ___ ____
    / \  | ____|_   _| | | | ____|  _ \|_ _/ ___|
   / _ \ |  _|   | | | |_| |  _| | |_) || |\___ \
  / ___ \| |___  | | |  _  | |___|  _ < | | ___) |
 /_/   \_\_____| |_| |_| |_|_____|_| \_\___|____/

Python Version License Build Status Core Engine


What is Aetheris?

Aetheris is an AI Engineering Operating System designed to inject strict architectural discipline, engineering workflows, and deterministic persistence into any LLM runtime engine.

Core Philosophy: Stateless Reasoning over Stateful Projects

Traditional AI coding assistants rely heavily on fragile, short-term conversational chat history. Aetheris shifts this paradigm by treating the LLM as a stateless reasoning agent.

The entire execution state, memory, decisions, and system constraints live directly inside the repository under the hidden .aetheris/ directory layer. This ensures that the engineering context is version-controlled, fully auditable, and easily shared across multi-agent environments or human developer handoffs.


What Does It Do? (Core Features)

Aetheris powers your development workspace using a highly dynamic, Python-driven CLI core:

  • Dynamic Registry Tracking: Aetheris automatically crawls the workspace in real time using .gitignore-aware file discovery. It scales seamlessly to index a growing matrix of 244 Skills, 9 RFC engineering laws, and 170 SPECs execution contracts without any hardcoded filesystem limits.
  • Context Precision & Optimization (Headroom Integration): Automatically compiles and token-optimizes prompt payloads. It compresses heavy logs, machine-generated tracebacks, and dense JSON payloads while ensuring your core source code remains completely uncompromised.
  • 12-Phase Architectural Lifecycle: Moves AI code creation away from ad-hoc hacking. The operating system forces the agentic lifecycle to flow strictly through sequential, deliberate phases including: Requirements Analysis, UI/UX Design, DB Schema Definition, Security Hardening, Automated Code Verification, and Telemetry Instrumentation.
  • Global Runtime Routing Engine: Control background telemetry and process daemons (aetheris start and aetheris stop). These daemons manage whether the workspace compilation pipeline is actively intercepted and governed by the Aetheris Kernel or routed back cleanly to local native IDE configurations.

Prerequisites

Before installing Aetheris, ensure your system meets the following software stack requirements:

  1. Python Runtime: Python >= 3.10 installed globally and registered to your system path.
  2. Package Installer: pip updated to the latest version (python -m pip install --upgrade pip).
  3. Version Control: git system binary installed and available on the command line.
  4. System Dependencies: Internet connectivity (for cloud-based LLM routers) or a running local instance of Ollama / LM Studio (for completely offline local operations).

Step-by-Step Installation Protocols

Select the installation pathway that fits your deployment needs:

Pathway A: Local Development Installation (Editable Mode)

For developers actively modifying the Aetheris codebase. Installs the package globally, but links execution to your local workspace so any code changes inside src/ take effect immediately:

git clone https://github.com/aetheris/aetheris.git
cd aetheris
pip install -e .

Pathway B: Open-Source Distribution (Direct from GitHub)

For end-users deploying Aetheris globally on a target machine directly from a remote repository:

pip install git+https://github.com/aetheris/aetheris.git

Pathway C: Compiled Offline Packaging (.whl Wheel Builds)

For closed, offline enterprise environments where external internet access is restricted:

  1. Build the wheel package on an internet-enabled machine:
    pip install build
    python -m build
    
  2. Transfer the compiled wheel file from dist/ (e.g. aetheris-0.1.0-py3-none-any.whl) to the target machine.
  3. Install the wheel package offline:
    pip install aetheris-0.1.0-py3-none-any.whl
    

Interactive CLI Quick-Start Commands

Use the following CLI commands to manage the Aetheris workspace lifecycle:

CommandDescription
aetheris initScaffolds the structural directory layout (.aetheris/) in the current folder.
aetheris analyzeTriggers a real-time, .gitignore-aware filesystem crawl and lists registry counts.
aetheris startBoots the persistent telemetry proxies and routes coding tasks through the Kernel.
aetheris stopDismantles context daemons and returns execution control back to native IDE settings.
aetheris dashboardExposes the metrics dashboard endpoint (default: http://localhost:8448).
aetheris skill [name]Inspects and queries capabilities and skills registered in the system.

Operational State Routing

[!IMPORTANT] Running aetheris start spins up background context compression brokers. Once locked onto the system PID, the entire development pipeline is governed by Aetheris Kernel laws, verifying specifications and enforcing RFC compliance.

[!WARNING] Running aetheris stop safely detaches the Aetheris control plane. Standard text editor behavior is immediately restored, letting you pass prompts back directly to your local IDE's native LLM configurations without workspace interventions.

Contributors

Heer-Patel69

28 commits

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