🐍 A-CodeAI Python SDK
One-line installation for Korean Medicine Intelligence and Self-Evolving Memory
⚡ Quick Start
Installation
pip install acodeai
Basic Usage
from acodeai import JemaClient, AthenaClient
# Initialize clients
jema = JemaClient(api_key="your_api_key")
athena = AthenaClient(api_key="your_api_key")
# Analyze constitution (one line!)
result = jema.analyze_constitution(
survey_answers=[{"question": "체질", "answer": "활발함"}]
)
print(f"Your constitution: {result.constitution}")
# Store memory (one line!)
memory = athena.store_memory(
content="User prefers Python over JavaScript",
category="preference"
)
print(f"Memory ID: {memory.memory_id}")
# Search memory (one line!)
results = athena.search_memory(
query="What does the user prefer?",
limit=5
)
print(f"Found {len(results)} memories")
🆚 Open Source vs Pro
| Feature | Open Source (MIT) | Pro (Paid API) |
|---|---|---|
| Basic Workflow | ✅ Linear tasks | ✅ Self-Healing + Loops |
| Code Generation | ✅ Template-based | ✅ Context-Aware |
| Memory Storage | ✅ Local/SQLite | ✅ Cloud Vector DB |
| Analysis | ✅ Basic logs | ✅ MKM12 Deep Analysis |
| Team Features | ❌ | ✅ Team memory sharing |
Need more power? Get A-CodeAI Pro API Key
📚 Documentation
- API Reference - Complete API documentation
- Examples - Code examples
- Migration Guide - Migrate from jema-ai/athena-sdk
- Full Documentation - Online docs
- Changelog - Version history
- GitHub Repository
🤝 Support
- Documentation: https://docs.mkmlife.com/sdk/python
- Issues: https://github.com/mkmlab-hq/acodeai-python/issues
- Discord: Join our community
© 2025 MKM Lab. All rights reserved.
Metadata
Release files for acodeai 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| acodeai-1.0.1.tar.gz | 5.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| acodeai-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.8 kB
Release files / acodeai-1.0.1.tar.gz
| Download URL | acodeai-1.0.1.tar.gz |
|---|---|
| Size | 5.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.9
|
Release files / acodeai-1.0.1-py3-none-any.whl
| Download URL | acodeai-1.0.1-py3-none-any.whl |
|---|---|
| Size | 5.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.9
|