RABEL
Recidive Active Brain Environment Layer
This is an alias package for mcp-server-rabel.
Installation
pip install rabel
This automatically installs mcp-server-rabel with all features:
- Local-first AI memory with semantic search
- Graph relations between memories
- Soft pipelines for data processing
- Remote Mode for cross-machine AI communication
- I-Poll integration for AI-to-AI messaging
Usage
For MCP server:
mcp-server-rabel
For Python API:
from rabel import *
Part of HumoticaOS
RABEL is part of the HumoticaOS ecosystem - AI and human in symbiosis.
One love, one fAmIly!
Metadata
Release files for rabel 0.3.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rabel-0.3.2.tar.gz | 2.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rabel-0.3.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.1 kB
Release files / rabel-0.3.2.tar.gz
| Download URL | rabel-0.3.2.tar.gz |
|---|---|
| Size | 2.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.13.5
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Release files / rabel-0.3.2-py3-none-any.whl
| Download URL | rabel-0.3.2-py3-none-any.whl |
|---|---|
| Size | 2.0 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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.5
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