Agent memory interface implemented using LadybugDB
Project description
Memory
Agent memory interface implemented using LadybugDB. Other more optimized interfaces are possible.
Installation
uv sync
Usage
uv pip install ladybug-memory
from lbmemory import LadybugMemory
mem = LadybugMemory("memory.lbdb")
mem.store("User prefers Python", memory_type="preference", importance=8)
results = mem.search("python")
for r in results:
print(r.entry.content)
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ladybug_memory-0.1.5.tar.gz
(29.8 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
File details
Details for the file ladybug_memory-0.1.5.tar.gz.
File metadata
- Download URL: ladybug_memory-0.1.5.tar.gz
- Upload date:
- Size: 29.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6dba9c18e1fa5607a29c5a46287f5d6176796df39ed372f7f12bffc50dcd2603
|
|
| MD5 |
ea352eb0c9d2f0510140b63d35e1fcec
|
|
| BLAKE2b-256 |
bfeedf6b67865ee2c9578f8395bb30d74ad5f27e62c6044d8df9b435939ac03b
|
File details
Details for the file ladybug_memory-0.1.5-py3-none-any.whl.
File metadata
- Download URL: ladybug_memory-0.1.5-py3-none-any.whl
- Upload date:
- Size: 21.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b5d4dc484f5874d63cd5bca493376318a639cfbaab04c14482297a84bb30a8d0
|
|
| MD5 |
51fa8bc6807ef51626a03d1fa63a70da
|
|
| BLAKE2b-256 |
0b96c812755a8b35b53faf4bf4a640d65ff26315699786d773e1ca2b4e486cc9
|
