The memory layer for AI agents — shared learning across your entire organization. Observe, teach, reflect, auto-capture, auto-recall, onboard, succession, coaching amplification, per-observation RBAC, auditable timeline, and more.
Project description
The author of this package has not provided a project description
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
loom_learn-0.3.1.tar.gz
(107.8 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
loom_learn-0.3.1-py3-none-any.whl
(114.8 kB
view details)
File details
Details for the file loom_learn-0.3.1.tar.gz.
File metadata
- Download URL: loom_learn-0.3.1.tar.gz
- Upload date:
- Size: 107.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
30ae3bc08cc6f0dd3664cf8f72bb9960e6a889af1d3ae1c77871cab1cc96de7a
|
|
| MD5 |
654eed4a45cc5f7dd926e54bdcfa46f8
|
|
| BLAKE2b-256 |
1d3f93238481e9b328a299b9ddfb9b31b9ad9e53a9c6c37dc4619ddef8786038
|
File details
Details for the file loom_learn-0.3.1-py3-none-any.whl.
File metadata
- Download URL: loom_learn-0.3.1-py3-none-any.whl
- Upload date:
- Size: 114.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
902d2dd2e660b9c8813043c60d0cdd5e37dc85282e39cbf5d0a49db00abfd99c
|
|
| MD5 |
4f4b07a12f46dd24689d77d8f845387a
|
|
| BLAKE2b-256 |
66419730fdd00eefa422ea1c960c4fdb69d291ff3d74a0f5fc826a745434df49
|