agentmemory 0.1.10

Easy-to-use agent memory, powered by chromadb

agentmemory

Easy-to-use agent memory, powered by chromadb

Installation

pip install agentmemory

Quickstart

from agentmemory import create_memory, search_memory, set_storage_path

set_storage_path('./memory')

# create a memory
create_memory("conversation", "I can't do that, Dave.", metadata={"speaker": "HAL", "some_other_key": "some value, could be a number or string"})

# search for a memory
memories = search_memory("conversation", "Dave") # category, search term

print(str(memories))

# memories is a list of dictionaries
[
    {
        "id": int,
        "document": string,
        "metadata": dict{...values},
        "embeddings": (Optional) list[float] | None
    },
    {
        ...
    }
]

Basic Usage Guide

Importing into your project

from agentmemory import (
    create_memory,
    get_memories,
    search_memory,
    get_memory,
    update_memory,
    delete_memory,
    count_memories,
    wipe_category,
    wipe_all_memories
)

Create a Memory

# category, document, metadata
create_memory("conversation", "I can't do that, Dave.", metadata={"speaker": "HAL", "some_other_key": "some value, could be a number or string"})

Search memories

memories = search_memory("conversation", "Dave") # category, search term
# memories is a list of dictionaries
[
    {
        "id": int,
        "document": string,
        "metadata": dict{...values},
        "embeddings": (Optional) list[float] | None
    },
    {
        ...
    }
]

Get all memories

memories = get_memories("conversation") # can be any category
# memories is a list of dictionaries
[
    {
        "id": int,
        "document": string,
        "metadata": dict{...values},
        "embeddings": (Optional) list[float] | None
    },
    {
        ...
    }
]

Get a memory

memory = get_memory("conversation", 1) # category, id

Update a memory

update_memory("conversation", 1, "Okay, I will open the podbay doors.")

Delete a Memory

delete_memory("conversation", 1)

Documentation

Create a Memory

create_memory(category, text, id=None, metadata=None, persist=True)

Create a new memory in a collection.

>>> create_memory(category='sample_category', text='sample_text', id='sample_id', metadata={'sample_key': 'sample_value'}, persist=True)

Search Memory

search_memory(category, search_text, n_results=5, filter_metadata=None, contains_text=None, include_embeddings=True)

Search a collection with given query texts.

>>> search_memory('sample_category', 'search_text', n_results=2, filter_metadata={'sample_key': 'sample_value'}, contains_text='sample', include_embeddings=True, include_distances=True)
[{'metadata': '...', 'document': '...', 'id': '...'}, {'metadata': '...', 'document': '...', 'id': '...'}]

Get a Memory

get_memory(category, id, include_embeddings=True)

Retrieve a specific memory from a given category based on its ID.

>>> get_memory("books", "1")

Get Memories

get_memories(category, sort_order="desc", filter_metadata=None, n_results=20, include_embeddings=True)

Retrieve a list of memories from a given category, sorted by ID, with optional filtering. sort_order controls whether you get from the beginning or end of the list.

>>> get_memories("books", sort_order="asc", n_results=10)

Update a Memory

update_memory(category, id, text=None, metadata=None, persist=True)

Update a specific memory with new text and/or metadata.

# with keyword arguments
update_memory(category="conversation", id=1, text="Okay, I will open the podbay doors.", metadata={ "speaker": "HAL", "sentiment": "positive" }, persist=True)

# with positional arguments
update_memory("conversation", 1, "Okay, I will open the podbay doors.")

Delete a Memory

delete_memory(category, id, contains_metadata=None, contains_text=None, persist=True)

Delete a specific memory based on its ID and optionally on matching metadata and/or text.

>>> delete_memory("books", "1")

Check if a memory exists

memory_exists(category, id, includes_metadata=None)

Check if a memory with a specific ID exists in a given category.

>>> memory_exists("books", "1")

Wipe an Entire Category of Memories

wipe_category(category, persist=True)

Delete an entire category of memories.

>>> wipe_category("books")

Count Memories

count_memories(category)

Count the number of memories in a given category.

>>> count_memories("books")

Wipe All Memories

wipe_all_memories(persist=True)

Delete all memories across all categories.

>>> wipe_all_memories()

Set a Persistent Storage Path

set_storage_path(path)

    >>> set_storage_path("path/to/persistent/directory")

Save All Memory to Disk

save_memory()

    >>> save_memory()

Publishing

bash publish.sh --version=<version> --username=<pypi_username> --password=<pypi_password>

Contributions Welcome

If you like this library and want to contribute in any way, please feel free to submit a PR and I will review it. Please note that the goal here is simplicity and accesibility, using common language and few dependencies.

Questions, Comments, Concerns

If you have any questions, please feel free to reach out to me on Twitter or Discord.