Additional changes Agents write a task plan to .scratch/<branch>/plan.md and self-review with code-review Agents fix hard violations, report judgement calls and rerun the self-review before every push Agents declare the review in a Self-review section of the pull request body Add the ai-self-review workflow and scripts/check_pr_self_review.py for pull requests into main Detect agents by Assisted-by or Anthropic Co-Authored-By trailers, body markers or the AI box Fail only on a missing Self-review section or a missing, malformed or stale Reviewed SHA Note an unticked AI-assisted box and malformed optional lines without failing Comment on the pull request how to fix a failure and update that one comment on later runs Show the same report in the job summary and accept Windows line endings in the body Skip dependabot and release pull requests Run on pull_request_target with the base branch's script, never pull request code Add the pull request template: the pr skill's sections plus Checklist and Self-review Require always valid optimization parameters in the energy-domain skill Require datetimeutil for date and time handling in new and changed code in AGENTS.md Require the Assisted-by trailer on agent commits in the commit-messages skill Add tests for the check in tests/test_ai.py Add GLOSSARY.md and the agent tracker docs in docs/agents/ Add decision record docs/adr/0001 with an ADR index in the docs toctree Document the workflow in docs/develop/ai.md and CONTRIBUTING.md Exclude docs/agents from Sphinx and PyMarkdown and ignore .scratch/ Document cz check instead of make gitlint for commit messages in docs/develop/ai.md Assisted-by: Claude Code (claude-opus-5-5) Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Build optimized energy management plans for your home automation
AkkudoktorEOS is a comprehensive solution for simulating and optimizing energy systems based on renewable sources. Optimize your photovoltaic systems, battery storage, load management, and electric vehicles while considering real-time electricity pricing.
Why use AkkudoktorEOS?
AkkudoktorEOS can be used to build energy management plans that are optimized for your specific setup of PV system, battery, electric vehicle, household load and electricity pricing. It can be integrated into home automation systems such as NodeRED, Home Assistant, EVCC.
🏘️ Community
We are an open-source community-driven project and we love to hear from you. Here are some ways to get involved:
-
GitHub Issue Tracker: discuss ideas and features, and report bugs.
-
Akkudoktor Forum: get direct suppport from the community.
What do people build with AkkudoktorEOS
The community uses AkkudoktorEOS to minimize grid energy consumption and to maximize the revenue from grid energy feed in with their home automation system.
- Andreas Schmitz, the Akkudoktor, uses EOS integrated in his NodeRED home automation system for OpenSource Energieoptimierung.
- Jörg, meintechblog, uses EOS for day-ahead optimization for time-variable energy prices. See: So installiere ich EOS von Andreas Schmitz
Why not use AkkudoktorEOS?
AkkudoktorEOS does not control your home automation assets. It must be integrated into a home automation system. If you do not use a home automation system or you feel uncomfortable with the configuration effort needed for the integration you should better use other solutions.
Quick Start
Upgrading an existing installation?
The next release includes a substantial energy-planning update: 15-minute GENETIC plans, EV departure targets, flexible household loads, optional battery export, and better measurement and PV-forecast tools. These features are currently unreleased.
Existing Home Assistant automations, Node-RED flows and custom API clients may need changes.
Devices now use stable IDs, the new optimizer reads hardware settings from EOS configuration,
and incomplete forecasts or outdated battery measurements can stop a run. The legacy
POST /optimize remains available with GENETIC0; the new POST /v1/optimize has a different
request format. Back up your configuration and data before updating.
Read the upgrade guide and changelog before switching an existing installation.
Start with Docker
Run EOS with Docker (access dashboard at http://localhost:8504):
docker run -d \
--name akkudoktoreos \
-p 8503:8503 \
-p 8504:8504 \
-e OPENBLAS_NUM_THREADS=1 \
-e OMP_NUM_THREADS=1 \
-e MKL_NUM_THREADS=1 \
-e EOS_SERVER__HOST=0.0.0.0 \
-e EOS_SERVER__EOSDASH_HOST=0.0.0.0 \
-e EOS_SERVER__EOSDASH_PORT=8504 \
--ulimit nproc=65535:65535 \
--ulimit nofile=65535:65535 \
--security-opt seccomp=unconfined \
akkudoktor/eos:latest
System Requirements
- Python: 3.11 or higher
- Architecture: amd64, aarch64 (armv8)
- OS: Linux, Windows, macOS
Note
: Other architectures (armv6, armv7) require manual compilation of dependencies with Rust and GCC.
Installation
Home Assistant add-on
To install the Akkudoktor-EOS add-on in Home Assistant:
-
Add the repository URL:
In Home Assistant, go to:
Settings → Add-ons → Add-on Store → ⋮ (top-right menu) → Repositoriesand enter the URL of this Git repository:
https://github.com/Akkudoktor-EOS/EOS -
Install the add-on:
After adding the repository, the add-on will appear in the Add-on Store. Click Install.
-
Start the add-on:
Once installed, click Start in the add-on panel.
-
Access the dashboard:
Click Open Web UI in the add-on panel.
-
Configure EOS (optional): In the dashboard, go to:
Config
Docker (Recommended)
- create docker compose file:
services:
eos:
image: akkudoktor/eos:latest
container_name: akkudoktoreos
restart: unless-stopped
environment:
- OPENBLAS_NUM_THREADS=1
- OMP_NUM_THREADS=1
- MKL_NUM_THREADS=1
- EOS_SERVER__HOST=0.0.0.0
- EOS_SERVER__PORT=8503
- EOS_SERVER__EOSDASH_HOST=0.0.0.0
- EOS_SERVER__EOSDASH_PORT=8504
# Change this to a random secret, e.g. output of: openssl rand -hex 32
- EOS_SERVER__EOSDASH_SESSKEY=change-me
ports:
- "8503:8503" # EOS API
- "8504:8504" # EOSdash
volumes:
- ./data:/data
- create a .env file with the secret:
echo "EOS_SESSKEY=$(openssl rand -hex 16)" > .env
- pull image and start:
docker pull akkudoktor/eos:latest
docker compose up -d
-
Access EOS:
- API: http://localhost:8503
- API docs: http://localhost:8503/docs
- EOSdash: http://localhost:8504
Configuration and data are stored in ./data.
Note: The
docker-compose.yamlin the repository root is intended for development (it builds the image locally and relies on the repository's.env). Use the file above if you only want to run the published image.
From Source
git clone https://github.com/Akkudoktor-EOS/EOS.git
cd EOS
Linux:
python -m venv .venv
.venv/bin/pip install -r requirements.txt
.venv/bin/pip install -e .
.venv/bin/python -m akkudoktoreos.server.eos
Windows:
python -m venv .venv
.venv\Scripts\pip install -r requirements.txt
.venv\Scripts\pip install -e .
.venv\Scripts\python -m akkudoktoreos.server.eos
Configuration
EOS uses EOS.config.json for configuration. If the file doesn't exist, a default configuration is
created automatically.
Custom Configuration Directory
export EOS_DIR=/path/to/your/config
Configuration Methods
- EOSdash (Recommended) - Web interface at
http://localhost:8504 - Manual - Edit
EOS.config.jsondirectly - API - Use the Server API
See the documentation for all configuration options.
Port Configuration
Default ports: 8503 (API), 8504 (Dashboard)
If running on shared systems (e.g., Synology NAS), these ports may conflict with system services. Reconfigure port mappings as needed:
docker run -p 8505:8503 -p 8506:8504 ...
API Documentation
Interactive API docs available at:
- Swagger UI:
http://localhost:8503/docs - OpenAPI Spec: View Online
Resources
Contributing
We welcome contributions! See CONTRIBUTING for guidelines.
License
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

