_ _____ _____ _ _ _____ ____ ___ ____
/ \ | ____|_ _| | | | ____| _ \|_ _/ ___|
/ _ \ | _| | | | |_| | _| | |_) || |\___ \
/ ___ \| |___ | | | _ | |___| _ < | | ___) |
/_/ \_\_____| |_| |_| |_|_____|_| \_\___|____/
Aetheris is an AI Engineering Operating System designed to inject strict architectural discipline, engineering workflows, and deterministic persistence into any LLM runtime engine.
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.
Aetheris powers your development workspace using a highly dynamic, Python-driven CLI core:
.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.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.Before installing Aetheris, ensure your system meets the following software stack requirements:
>= 3.10 installed globally and registered to your system path.pip updated to the latest version (python -m pip install --upgrade pip).git system binary installed and available on the command line.Ollama / LM Studio (for completely offline local operations).Select the installation pathway that fits your deployment needs:
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 .
For end-users deploying Aetheris globally on a target machine directly from a remote repository:
pip install git+https://github.com/aetheris/aetheris.git
For closed, offline enterprise environments where external internet access is restricted:
pip install build
python -m build
dist/ (e.g. aetheris-0.1.0-py3-none-any.whl) to the target machine.pip install aetheris-0.1.0-py3-none-any.whl
Use the following CLI commands to manage the Aetheris workspace lifecycle:
| Command | Description |
|---|---|
aetheris init | Scaffolds the structural directory layout (.aetheris/) in the current folder. |
aetheris analyze | Triggers a real-time, .gitignore-aware filesystem crawl and lists registry counts. |
aetheris start | Boots the persistent telemetry proxies and routes coding tasks through the Kernel. |
aetheris stop | Dismantles context daemons and returns execution control back to native IDE settings. |
aetheris dashboard | Exposes the metrics dashboard endpoint (default: http://localhost:8448). |
aetheris skill [name] | Inspects and queries capabilities and skills registered in the system. |
[!IMPORTANT] Running
aetheris startspins 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 stopsafely 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.
28 commits
Python
52.3%
JavaScript
16.3%
Rust
11.2%
HTML
6.7%
TypeScript
5.1%
TeX
2.3%
Shell
2.2%
CSS
1.9%
_ _____ _____ _ _ _____ ____ ___ ____
/ \ | ____|_ _| | | | ____| _ \|_ _/ ___|
/ _ \ | _| | | | |_| | _| | |_) || |\___ \
/ ___ \| |___ | | | _ | |___| _ < | | ___) |
/_/ \_\_____| |_| |_| |_|_____|_| \_\___|____/
Aetheris is an AI Engineering Operating System designed to inject strict architectural discipline, engineering workflows, and deterministic persistence into any LLM runtime engine.
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.
Aetheris powers your development workspace using a highly dynamic, Python-driven CLI core:
.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.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.Before installing Aetheris, ensure your system meets the following software stack requirements:
>= 3.10 installed globally and registered to your system path.pip updated to the latest version (python -m pip install --upgrade pip).git system binary installed and available on the command line.Ollama / LM Studio (for completely offline local operations).Select the installation pathway that fits your deployment needs:
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 .
For end-users deploying Aetheris globally on a target machine directly from a remote repository:
pip install git+https://github.com/aetheris/aetheris.git
For closed, offline enterprise environments where external internet access is restricted:
pip install build
python -m build
dist/ (e.g. aetheris-0.1.0-py3-none-any.whl) to the target machine.pip install aetheris-0.1.0-py3-none-any.whl
Use the following CLI commands to manage the Aetheris workspace lifecycle:
| Command | Description |
|---|---|
aetheris init | Scaffolds the structural directory layout (.aetheris/) in the current folder. |
aetheris analyze | Triggers a real-time, .gitignore-aware filesystem crawl and lists registry counts. |
aetheris start | Boots the persistent telemetry proxies and routes coding tasks through the Kernel. |
aetheris stop | Dismantles context daemons and returns execution control back to native IDE settings. |
aetheris dashboard | Exposes the metrics dashboard endpoint (default: http://localhost:8448). |
aetheris skill [name] | Inspects and queries capabilities and skills registered in the system. |
[!IMPORTANT] Running
aetheris startspins 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 stopsafely 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.
28 commits
Python
52.3%
JavaScript
16.3%
Rust
11.2%
HTML
6.7%
TypeScript
5.1%
TeX
2.3%
Shell
2.2%
CSS
1.9%