feat: adding oss version of companion cookbook#4564
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whysosaket merged 5 commits intomainfrom Mar 28, 2026
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…ding-ai-companion guide
…a wording, and note formatting
utkarsh240799
previously approved these changes
Mar 27, 2026
whysosaket
reviewed
Mar 28, 2026
| Tell Mem0 what matters: | ||
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| ```python | ||
| MEMORY_CONFIG["custom_fact_extraction_prompt"] = """ |
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Please verify from code if this is the right key name. (Just want to double check)
whysosaket
reviewed
Mar 28, 2026
whysosaket
reviewed
Mar 28, 2026
| <Tab title="Open Source"> | ||
| ```python | ||
| memory.add( | ||
| "Max wants direct, data-driven feedback. Skip motivational language.", |
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Let's not encourage use to unstructured add, it should be kv pair as in other places.
whysosaket
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Mar 28, 2026
| speed_sessions = memory.search( | ||
| "speed work", | ||
| user_id="max", | ||
| filters={"workout_type": "speed"}, |
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can we confirm if filters like this work on oss?
…mpt and clarify config usage
whysosaket
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Mar 28, 2026
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Description
Audited and tested the Open Source tab of the "Build a Companion with Mem0" cookbook (
docs/cookbooks/essentials/building-ai-companion.mdx) to verify all code snippets work end-to-end with theexact stack described: Ollama (LLM + embeddings) + Qdrant server (Docker).
Tested 9 cookbook patterns — all API calls, config, and filter syntax are correct and functional:
metadatabuckets withmemory_bucket)custom_fact_extraction_prompt)infer=False)expires_onin metadata)run_idmemory.update)delete_allwithrun_id)One issue found:
custom_fact_extraction_promptdoesn't work reliably withllama3.1:8b— the model can't follow the structured JSON extraction prompt, causing it to drop all factsincluding valid ones. The default extraction (without the custom prompt) already filters filler correctly.
Type of Change
Breaking Changes
N/A
Test Coverage
Ran
test_companion.pyagainst the exact cookbook stack (Ollama llama3.1 + nomic-embed-text + Qdrant server on Docker). 17/17 automated checks passed.Checklist