threadmem 0.2.27

Thread memory for AI agents

threadmem

Chat thread memory for AI agents
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Threadmem is a simple tool that helps manage chat conversations with language models.

Backend

Installation

pip install threadmem

Usage

Role Threads

Role based threads are useful for managing openai-style chat schemas.

from threadmem import RoleThread

# Create a thread storing it in a local sqlite db
thread = RoleThread(owner_id="[e-mail]")

# Post messages
thread.post("user", "Hello, Thread!")
thread.post("assistant", "How can I help?")
thread.post("user", "Whats this image?", images=["data:image/jpeg;base64,..."])

# Output in openai chat schema format
print(thread.to_oai())

# Find a thread
threads = RoleThread.find(owner_id="[e-mail]")

# Delete a thread
threads[0].delete()

Backends

Thread and prompt storage can be backed by:

• Sqlite
• Postgresql

Sqlite will be used by default. To use postgres simply configure the env vars:

DB_TYPE=postgres
DB_NAME=threads
DB_HOST=localhost
DB_USER=postgres
DB_PASS=abc123

Develop

To test

make test

To publish

make publish