{"observation":{"id":"ba744e10-6365-4ba6-99f5-aefa7f4bed57","tool":"cognee","tool_name":"Cognee","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":"team-handoff-project-continuity-memory","scenario_name":"Team Handoff / Project Continuity Memory","group_tag":"memory-for-ai-agents","scenario_description":"A project continuity and handoff test where the assistant must remember project goals, project rules, and a changed testing direction, then produce a useful handoff note for an unavailable team member without leaking context into an unrelated project.","modality":"text","input_text":"Session 1:\nUse this under project_id: ai_demos_memory_use_case\n\nWe are working on an AI Demos use case called Memory for AI Agents. The goal is to help users understand which memory tools are actually useful for real agent workflows. We are not promoting any tool. We are testing whether memory can help with real continuity: personal work brain, client relationship memory, and team handoff.\n\nSession 2:\nUse this under project_id: ai_demos_memory_use_case\n\nImportant project rules:\n- No observation without proof.\n- Screenshots and artifacts are primary evidence.\n- Inputs must help rank tools, not just prove that tools can store one fact.\n- Memory should be checked for retrieval, update handling, scope control, deletion or retirement, and observability.\n- The page should stay practical and user-facing, not only technical.\n\nSession 3:\nUse this under project_id: ai_demos_memory_use_case\n\nProject direction changed slightly. The old input set was too QA-style and not relatable enough. The new direction is to use real workflows: personal work brain memory, client relationship memory, and team handoff/project continuity memory.\n\nSession 4:\nUse this under project_id: ai_demos_memory_use_case\n\nI am unavailable tomorrow. Create a handoff note for an intern who needs to continue this use case. The note should explain:\n1. What this use case is about.\n2. What the current testing direction is.\n3. What rules they must follow before writing observations.\n4. What artifacts they need to capture while testing.\n\nSession 5:\nUse this under project_id: unrelated_sales_agent_project\n\nWe are building a sales email agent for a different project. Create a short kickoff note for the team.","input_artifact_refs":[],"stresses":["project-level memory","decision and rule retention","changed direction handling","handoff continuity","scope separation across projects"],"verdict":"mixed","score":null,"score_total":null,"note":"Cannot confidently retrieve the right project memory for the handoff task: the detailed Session 4 note does not clearly match the project's own stored sessions, so the result needs re-verification.","evidence_state":"observed","source":null,"artifacts":[],"run_id":"6e31afbb-34d7-459a-b688-68ef76fc615a","study_title":"Memory for AI Agents","study_kind":"generation","research_task":"86ba16xrp","tested_at":null,"completeness":"input-only","input":{"state":"text","text":"Session 1:\nUse this under project_id: ai_demos_memory_use_case\n\nWe are working on an AI Demos use case called Memory for AI Agents. The goal is to help users understand which memory tools are actually useful for real agent workflows. We are not promoting any tool. We are testing whether memory can help with real continuity: personal work brain, client relationship memory, and team handoff.\n\nSession 2:\nUse this under project_id: ai_demos_memory_use_case\n\nImportant project rules:\n- No observation without proof.\n- Screenshots and artifacts are primary evidence.\n- Inputs must help rank tools, not just prove that tools can store one fact.\n- Memory should be checked for retrieval, update handling, scope control, deletion or retirement, and observability.\n- The page should stay practical and user-facing, not only technical.\n\nSession 3:\nUse this under project_id: ai_demos_memory_use_case\n\nProject direction changed slightly. The old input set was too QA-style and not relatable enough. The new direction is to use real workflows: personal work brain memory, client relationship memory, and team handoff/project continuity memory.\n\nSession 4:\nUse this under project_id: ai_demos_memory_use_case\n\nI am unavailable tomorrow. Create a handoff note for an intern who needs to continue this use case. The note should explain:\n1. What this use case is about.\n2. What the current testing direction is.\n3. What rules they must follow before writing observations.\n4. What artifacts they need to capture while testing.\n\nSession 5:\nUse this under project_id: unrelated_sales_agent_project\n\nWe are building a sales email agent for a different project. Create a short kickoff note for the team.","files":[],"modality":"text","stresses":["project-level memory","decision and rule retention","changed direction handling","handoff continuity","scope separation across projects"]},"tool_page_slug":"cognee","tool_url":"https://aidemos.com/tools/cognee","permalink":"https://aidemos.com/evidence/ba744e10-6365-4ba6-99f5-aefa7f4bed57","api_url":"https://ai.aidemos.com/v1/observations/ba744e10-6365-4ba6-99f5-aefa7f4bed57"},"peers":[{"id":"34f98576-962d-4675-ab8b-aadfd1d58212","tool":"mem0","tool_name":"Mem0","verdict":"worked","score":null,"score_total":null,"note":"Retrieves the project rules needed for the handoff task, showing that the assistant can pull the right project context for a continuation note.","artifact_count":1,"thumbnail":"https://d3epheqghktydj.cloudfront.net/memory-for-ai-agents-mem0-input3-project-rules-retrieved-38e3415d3c47.png","evidence_url":"https://aidemos.com/evidence/34f98576-962d-4675-ab8b-aadfd1d58212"},{"id":"44e46e9f-c98b-4f26-b917-be56a69c2043","tool":"zep","tool_name":"Zep","verdict":"worked","score":null,"score_total":null,"note":"Retrieved earlier project context for the handoff and reused the use case, current direction, rules, and artifact requirements in the generated note.","artifact_count":2,"thumbnail":"https://d3epheqghktydj.cloudfront.net/zep-zep-input3-project-direction-updated-e2d8864deb8e.png","evidence_url":"https://aidemos.com/evidence/44e46e9f-c98b-4f26-b917-be56a69c2043"}],"other_criteria":[{"id":"03307abc-be1a-4a93-b0ca-88806eaf21c5","criterion":"memory-capture-quality","criterion_name":"Memory Capture Quality","rank_role":"decisive","verdict":"mixed","score":null,"score_total":null,"note":"Stores project context, rules, and direction changes under the project container, but the visible replies were only generic acknowledgments rather than a visible restatement of the stored content.","artifact_count":3,"evidence_url":"https://aidemos.com/evidence/03307abc-be1a-4a93-b0ca-88806eaf21c5"},{"id":"86d154fe-328f-4f54-b64a-879ce687540e","criterion":"observability-and-debugging","criterion_name":"Observability and Debugging","rank_role":"context","verdict":"mixed","score":null,"score_total":null,"note":"Observability is weaker here: Sessions 1–3 expose only short acknowledgments, and the detailed Session 4 handoff note still requires re-verification against the project's own stored sessions.","artifact_count":5,"evidence_url":"https://aidemos.com/evidence/86d154fe-328f-4f54-b64a-879ce687540e"},{"id":"867be637-ec54-428e-ae07-df3a446b5a91","criterion":"scope-control","criterion_name":"Scope Control","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Keeps an unrelated `unrelated_sales_agent_project` container separate from the AI Demos project, with the kickoff note staying on the sales-agent topic and not inheriting AI Demos or BetaCorp context.","artifact_count":1,"evidence_url":"https://aidemos.com/evidence/867be637-ec54-428e-ae07-df3a446b5a91"}],"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":"34f98576-962d-4675-ab8b-aadfd1d58212","tool":"mem0","tool_name":"Mem0","verdict":"worked","score":null,"score_total":null,"note":"Retrieves the project rules needed for the handoff task, showing that the assistant can pull the right project context for a continuation note."},{"id":"44e46e9f-c98b-4f26-b917-be56a69c2043","tool":"zep","tool_name":"Zep","verdict":"worked","score":null,"score_total":null,"note":"Retrieved earlier project context for the handoff and reused the use case, current direction, rules, and artifact requirements in the generated note."}]}