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openai-agents-recall

Recall memory for the OpenAI Agents SDK. Recall learns about the people your agent talks to from their conversations, and gives that back as context, search results and answers.

Install

pip install openai-agents-recall

Create an API key at https://app.recallmem.dev/keys and export it as RECALL_API_KEY (and RECALL_WORKSPACE_ID to pick a workspace). Running your own server? Set RECALL_URL=http://localhost:8000.

Quickstart

from agents import Agent, Runner
from openai_agents_recall import RecallSession, recall_instructions, recall_tools

agent = Agent(
    name="Assistant",
    instructions=recall_instructions("You are a helpful assistant."),  # + what Recall knows
    tools=recall_tools(),  # recall_search, recall_ask, recall_remember
)
session = RecallSession("chat-1", user_id="user-42")  # the history, kept in Recall
result = await Runner.run(
    agent, "Plan my weekend.", session=session, context={"user_id": "user-42"}
)

The session loads the conversation before each run and stores the new items after it, and Recall learns from the user's messages among them. The instructions add the user's peer card and their most relevant facts (no model call, well under a second). The tools let the model look things up and save facts the user states. One agent can serve many users: the tools and instructions read user_id from the run's context, or pass user_id= to them.

What is in the package

Import Agents SDK interface What it does
RecallSession Session protocol Conversation history in a Recall session: get_items, add_items, pop_item, clear_session.
recall_tools() FunctionTools recall_search (facts and messages, no model call), recall_ask (an answer from memory, a few seconds), recall_remember (save facts, searchable at once).
recall_instructions() Dynamic instructions Your instructions plus what Recall knows about the user.

RecallSession stores the user's messages as written by user_id (Recall learns from them) and the agent's as written by assistant_id (read as context, not learned about). Tool calls, tool results and reasoning items are kept for the history only, and every item comes back exactly as it was added. Messages other clients write to the same Recall session are read back as user or assistant messages. pop_item() and clear_session() hide items from the history; Recall keeps the messages and what it learned. Delete the Recall session to erase them.

Pass client=Recall(...) or AsyncRecall(...) from recall-mem to any of them; without one they use Recall(), configured from the environment.

Docs

MIT licensed.

Metadata

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