mcp · handle mcp_memory_keeper
claude_mem_lite · job 78%axme_code · job 71%claude_memory_mcp_2 · job 80%egc · job 77%decisionnode · job 77%memoir · job 75%locus · job 79%Mem0 · job 72%cachly AI Brain · job 78%conxt · job 74%Penfield · job 71%rlm_claude · job 80%zikkaron · job 74%Agent Memory MCP - Persistent Memory for AI Agents · job 75%sigil · job 75%codemem · job 78%wormhole_mcp · job 75%mnemo_2 · job 79%Relay · job 77%cortexgraph · job 78%lossless_code · job 74%in_memoria · job 76%mnemex · job 72%pseudolife_mcp · job 74%monomind · job 73%iai_personal_memory_engine · job 81%heimdall_mcp_server · job 80%context_sync · job 75%cortex · job 72%toon_memory · job 77%kawacode_mcp · job 81%local_context_mcp · job 72%linklore · job 72%MemBridge · job 76%Engram · job 73%Khwan · job 75%remem · job 76%omega_memory · job 73%mindkeg_mcp · job 75%memoraeu · job 74%Percentages are graph-similarity metadata, not suitability scores. A graph edge answers “is it connected” — plan fit and comparable cost are checked below.
Pick the exact reference and alternative series. Each history is separate; gaps stay gaps.
This view calls the same get_evidence tool your agent would — chart, table and MCP response describe the same records. Watch the reference series