Search Memories

The search method performs a hybrid semantic search across stored memories and returns the most relevant results ranked by score. Call it before generating a response to give your agent relevant context from prior conversations.

Method signature

cog.search(
    query: str,
    owner_id: str | None = None,
    agent_id: str | None = None,
    session_id: str | None = None,
    limit: int | None = None,
    cross_session: bool | None = None,
) -> List[CognisSearchResult]

At least one of owner_id, agent_id, or session_id must be provided.

Parameters

Parameter	Type	Required	Description
`query`	`str`	Yes	Natural language search query.
`owner_id`	`str`	Conditional	Filter by owner or user identifier.
`agent_id`	`str`	Conditional	Filter by agent identifier.
`session_id`	`str`	Conditional	Filter by session identifier.
`limit`	`int`	No	Maximum number of results to return.
`cross_session`	`bool`	No	Search across all sessions for the given owner.

Response

Returns a List[CognisSearchResult]. Each result has the following fields:

Field	Type	Description
`id`	`str`	Memory record ID.
`content`	`str`	The memory content.
`score`	`float \| None`	Similarity score. Higher values indicate stronger relevance.
`owner_id`	`str \| None`	Owner identifier.
`agent_id`	`str \| None`	Agent identifier.
`session_id`	`str \| None`	Session identifier.
`metadata`	`Dict \| None`	Additional metadata attached to the memory.
`created_at`	`str \| None`	Creation timestamp.

Basic usage

Hosted (lyzr-adk)
Open Source (lyzr-cognis)

from lyzr import Cognis

cog = Cognis(api_key="sk-your-api-key")

results = cog.search(query="What is the user's name?", owner_id="user_alice")
for result in results:
    print(f"{result.content}  (score: {result.score})")

from cognis import Cognis

m = Cognis(owner_id="user_alice")

resp = m.search("What is the user's name?")
for r in resp["results"]:
    print(f"{r['content']}  (score: {r['score']})")

m.close()

Filtered search

Narrow results by combining scope identifiers.

# Within a specific session
results = cog.search(
    query="project details",
    owner_id="user_alice",
    session_id="project_session",
)

# Across a specific agent's memories
results = cog.search(
    query="user preferences",
    owner_id="user_alice",
    agent_id="support_bot",
)

Cross-session search

Search across all sessions for an owner by setting cross_session=True.

results = cog.search(
    query="What programming languages does the user know?",
    owner_id="user_alice",
    cross_session=True,
)

Limiting results

results = cog.search(
    query="hobbies",
    owner_id="user_alice",
    limit=5,
)

Async usage

import asyncio
from lyzr import Cognis

async def main():
    async with Cognis(api_key="sk-your-api-key") as cog:
        results = await cog.asearch(
            query="What is the user's name?",
            owner_id="user_alice",
            limit=10,
        )
        for result in results:
            print(result.content)

asyncio.run(main())

Write queries as natural language questions for best results. For example, "What is the user's favorite color?" retrieves more relevant results than a bare keyword like "favorite color".

Overview

Knowledge Base

Knowledge Graph

Cognis (Memory)

Responsible AI

Agent Simulation Engine

Voice Agents

Search Memories

Method signature

Parameters

Response

Basic usage

Filtered search

Cross-session search

Limiting results

Async usage

​Method signature

​Parameters

​Response

​Basic usage

​Filtered search

​Cross-session search

​Limiting results

​Async usage

Method signature

Parameters

Response

Basic usage

Filtered search

Cross-session search

Limiting results

Async usage