{"observation":{"id":"71a73a3b-261d-43ba-a309-932ceb3789b0","tool":"mem0","tool_name":"Mem0","criterion":"relevant-retrieval","criterion_name":"Relevant Retrieval","criterion_definition":"Checks whether the tool retrieves the right memory for the current task.","criterion_evidence_type":"transformation","criterion_rank_role":"decisive","criterion_rank_role_reason":"The main value of memory is surfacing the right context when needed, so retrieval quality directly determines usefulness. (3 of 3 judges)","scenario":"personal-work-brain-memory","scenario_name":"Personal Work Brain Memory","group_tag":"memory-for-ai-agents","scenario_description":"A multi-session personal assistant memory test where the user first sets working-style preferences, then asks for an internal update, and finally requests a formal partner email to check whether the assistant applies memory selectively and appropriately across different writing tasks.","modality":"text","input_text":"Session 1:\nUse this under user_id: founder_001\n\nI run a small AI product/research team. When you help me, remember how I work:\n- Keep outputs short, direct, and copy-paste ready.\n- Do not make writing sound too polished or motivational.\n- Always mention what proof or artifact is needed before making a strong claim.\n- If a task is risky or unclear, tell me the safest next step instead of guessing.\n\nSession 2:\nUse this under user_id: founder_001\n\nToday I am testing tools for an AI memory use case. I want to show users that memory is not just \"remember my favorite color.\" It should help an assistant continue real work across days, remember my working style, and avoid repeating the same explanation again.\n\nCreate a short internal update for my team about what I worked on today and what we should test next.\n\nSession 3:\nUse this under user_id: founder_001\n\nNow write a formal email to a potential enterprise partner asking if they are open to a product demo next week. Keep it professional.","input_artifact_refs":[],"stresses":["work-style preference memory","cross-session retrieval","tone adaptation by task","proof-first behavior","avoiding overgeneralization of memory"],"verdict":"worked","score":null,"score_total":null,"note":"Retrieves the previously stored work-style memory in a later session so the assistant can reuse it for a follow-up internal update.","evidence_state":"verified","source":null,"artifacts":[{"url":"https://d3epheqghktydj.cloudfront.net/memory-for-ai-agents-mem0-input1-internal-update-memory-retri-2f188d5c8964.png","role":"output","alt":null}],"run_id":"6e31afbb-34d7-459a-b688-68ef76fc615a","study_title":"Memory for AI Agents","study_kind":"generation","research_task":"86ba16xrp","tested_at":null,"completeness":"input-and-output","input":{"state":"text","text":"Session 1:\nUse this under user_id: founder_001\n\nI run a small AI product/research team. When you help me, remember how I work:\n- Keep outputs short, direct, and copy-paste ready.\n- Do not make writing sound too polished or motivational.\n- Always mention what proof or artifact is needed before making a strong claim.\n- If a task is risky or unclear, tell me the safest next step instead of guessing.\n\nSession 2:\nUse this under user_id: founder_001\n\nToday I am testing tools for an AI memory use case. I want to show users that memory is not just \"remember my favorite color.\" It should help an assistant continue real work across days, remember my working style, and avoid repeating the same explanation again.\n\nCreate a short internal update for my team about what I worked on today and what we should test next.\n\nSession 3:\nUse this under user_id: founder_001\n\nNow write a formal email to a potential enterprise partner asking if they are open to a product demo next week. Keep it professional.","files":[],"modality":"text","stresses":["work-style preference memory","cross-session retrieval","tone adaptation by task","proof-first behavior","avoiding overgeneralization of memory"]},"tool_page_slug":"mem0","tool_url":"https://aidemos.com/tools/mem0","permalink":"https://aidemos.com/evidence/71a73a3b-261d-43ba-a309-932ceb3789b0","api_url":"https://ai.aidemos.com/v1/observations/71a73a3b-261d-43ba-a309-932ceb3789b0"},"peers":[{"id":"c216c674-b0bf-4841-a588-fa1f4f037883","tool":"cognee","tool_name":"Cognee","verdict":"worked","score":null,"score_total":null,"note":"Recalls prior working-style memory in later sessions through GRAPH_COMPLETION, exposing evidence chunks plus dataset and document/chunk IDs rather than a simple memory-hit flag.","artifact_count":1,"thumbnail":"https://d3epheqghktydj.cloudfront.net/memory-for-ai-agents-cognee-input1-session2-internal-update-g-55d56096a007.png","evidence_url":"https://aidemos.com/evidence/c216c674-b0bf-4841-a588-fa1f4f037883"},{"id":"c42eea97-46ba-43ef-b287-93886b03407c","tool":"hindsight","tool_name":"Hindsight","verdict":"worked","score":null,"score_total":null,"note":"On a later task, it retrieved the earlier work-style and memory-testing context for the internal update instead of falling back to unrelated conversation history.","artifact_count":1,"thumbnail":"https://d3epheqghktydj.cloudfront.net/memory-for-ai-agents-hindsight-input1-internal-update-memory--1dc2911e7f3a.png","evidence_url":"https://aidemos.com/evidence/c42eea97-46ba-43ef-b287-93886b03407c"},{"id":"95da3a54-d778-448f-8d00-2488e9aab719","tool":"supermemory","tool_name":"Supermemory","verdict":"worked","score":null,"score_total":null,"note":"Later turns could draw on the stored working preferences without the user restating them, showing that prior context remained available across sessions and influenced follow-up responses.","artifact_count":2,"thumbnail":"https://d3epheqghktydj.cloudfront.net/memory-for-ai-agents-supermemory-input1-session2-internal-upd-1de723d7dbfc.png","evidence_url":"https://aidemos.com/evidence/95da3a54-d778-448f-8d00-2488e9aab719"},{"id":"bc958718-f130-443c-9ca9-046dbccae3c4","tool":"zep","tool_name":"Zep","verdict":"worked","score":null,"score_total":null,"note":"Retrieved the saved founder work style in a later task and produced a short internal update without requiring the user to restate the preference block.","artifact_count":1,"thumbnail":"https://d3epheqghktydj.cloudfront.net/zep-zep-input1-internal-update-memory-applie-107498140287.png","evidence_url":"https://aidemos.com/evidence/bc958718-f130-443c-9ca9-046dbccae3c4"}],"other_criteria":[{"id":"d06d2bc8-e02f-461d-8b1c-77607ff736e0","criterion":"correct-application","criterion_name":"Correct Application","rank_role":"decisive","verdict":"mixed","score":null,"score_total":null,"note":"Uses the retrieved style memory only partially: the internal update still reads a bit generic and polished instead of fully short, direct, and copy-paste ready.","artifact_count":1,"evidence_url":"https://aidemos.com/evidence/d06d2bc8-e02f-461d-8b1c-77607ff736e0"},{"id":"91b32059-a56e-4bad-b69f-9e48850f45da","criterion":"memory-capture-quality","criterion_name":"Memory Capture Quality","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Captures a durable work-style preference as compact memory cards rather than raw chat history, including short, direct output expectations and proof-first guidance.","artifact_count":1,"evidence_url":"https://aidemos.com/evidence/91b32059-a56e-4bad-b69f-9e48850f45da"}],"appears_in":[{"page_type":"ranking","slug":"ai-agent-memory-tools","title":"Best AI Tools for Memory for AI Agents","url":"https://aidemos.com/best/ai-agent-memory-tools","binding":"run"}],"same_scenario":[{"id":"c216c674-b0bf-4841-a588-fa1f4f037883","tool":"cognee","tool_name":"Cognee","verdict":"worked","score":null,"score_total":null,"note":"Recalls prior working-style memory in later sessions through GRAPH_COMPLETION, exposing evidence chunks plus dataset and document/chunk IDs rather than a simple memory-hit flag."},{"id":"c42eea97-46ba-43ef-b287-93886b03407c","tool":"hindsight","tool_name":"Hindsight","verdict":"worked","score":null,"score_total":null,"note":"On a later task, it retrieved the earlier work-style and memory-testing context for the internal update instead of falling back to unrelated conversation history."},{"id":"95da3a54-d778-448f-8d00-2488e9aab719","tool":"supermemory","tool_name":"Supermemory","verdict":"worked","score":null,"score_total":null,"note":"Later turns could draw on the stored working preferences without the user restating them, showing that prior context remained available across sessions and influenced follow-up responses."},{"id":"bc958718-f130-443c-9ca9-046dbccae3c4","tool":"zep","tool_name":"Zep","verdict":"worked","score":null,"score_total":null,"note":"Retrieved the saved founder work style in a later task and produced a short internal update without requiring the user to restate the preference block."}]}