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)
1 maintainer
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-0.1.8.tar.gz
(30.3 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-0.1.8.tar.gz.
File metadata
- Download URL: ladybug_memory-0.1.8.tar.gz
- Upload date:
- Size: 30.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.14.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d7f1128837c4ad7009376ccd69fa1d5f6d6284a7dc5bb12f2938950c7724dd55
|
|
| MD5 |
8a4e48645e161b76d47083609c6f0f0a
|
|
| BLAKE2b-256 |
2d63c3acdd2ae7ea946091ff55669f6caa056829a23f84a7c1aae3170bec633f
|
File details
Details for the file ladybug_memory-0.1.8-py3-none-any.whl.
File metadata
- Download URL: ladybug_memory-0.1.8-py3-none-any.whl
- Upload date:
- Size: 21.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.14.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a86b15176298f5005e7efb191bd23f8552e5a806b7939ef7c2949e02d83e6b27
|
|
| MD5 |
c4e8dc5c64e9dd3eba00c03acbd4fa5e
|
|
| BLAKE2b-256 |
0a40911de06135d127a338b33430856a6e1b3762bfea5ff2dec3fca34d746885
|
