Cognee

Cognee is an open-source memory engine with a semantic graph at its core that provides observability for AI agents and semantic workflows. The Cognee–Respan integration patches Cognee’s @observe decorator so every task and workflow run becomes a Respan span automatically.

Set up Respan

Create an account at platform.respan.ai and grab an API key .

Resources

Paste this into your coding agent:


Help me set up Respan tracing with the Cognee integration.
Follow https://www.respan.ai/docs/integrations/cognee.md

Setup

Install packages

Terminal


pip install respan-ai cognee-community-observability-respan

Set environment variables

Terminal


export MONITORING_TOOL="respan"
export RESPAN_API_KEY="YOUR_RESPAN_API_KEY"
export LLM_API_KEY="YOUR_OPENAI_API_KEY"

MONITORING_TOOL=respan tells Cognee to use Respan as its observability backend. LLM_API_KEY is required if your pipeline calls LLMs.

Initialize and run

Python


import asyncio
import cognee_community_observability_respan  # noqa: F401 — patches Cognee on import
from cognee.modules.observability.get_observe import get_observe

observe = get_observe()  # returns Respan-backed decorator

@observe
def process_documents(documents: list[str]):
    return [f"Processed: {doc}" for doc in documents]

@observe
def create_knowledge_graph(processed_docs: list[str]):
    return [{"id": i, "content": doc} for i, doc in enumerate(processed_docs)]

@observe(workflow=True)
async def semantic_workflow():
    documents = ["Document 1", "Document 2", "Document 3"]
    processed = process_documents(documents)
    return create_knowledge_graph(processed)

result = asyncio.run(semantic_workflow())
print(f"Created knowledge graph with {len(result)} nodes")

View your trace

Open the Traces page to see your Cognee workflow with task spans, knowledge graph operations, and LLM calls.

How it works

The Respan integration patches Cognee’s get_observe() at import time so:

@observe maps to Respan’s task() decorator.
@observe(workflow=True) maps to Respan’s workflow() decorator.
Telemetry is initialized once via RespanTelemetry() on import.

Configuration

Variable	Description	Required
`MONITORING_TOOL`	Set to `respan`	Yes
`RESPAN_API_KEY`	Your Respan API key	Yes
`LLM_API_KEY`	Your LLM provider API key	Optional

Custom span names

Python


@observe(name="custom_task_name")
def my_task():
    pass

@observe(workflow=True, name="custom_workflow_name")
async def my_workflow():
    pass

Troubleshooting

Issue	Solution
No traces	Ensure `RESPAN_API_KEY` is set and `MONITORING_TOOL=respan`.
Decorators don’t fire	Import `cognee_community_observability_respan` before calling `get_observe()`.