mcp · handle agentbrain
nocturne_memory · job 76%zikkaron · job 79%Ferumind · job 80%llm_wiki_kit · job 77%mwe_mcp · job 87%xmemo_cli · job 75%zen_mcp_2 · job 75%brain_mcp · job 79%daftari · job 78%learn_shell · job 79%memex · job 86%Markdown Locker · job 79%mnemoverse_memory_mcp · job 80%cortexgraph · job 77%Hjarni · job 78%engram_5 · job 81%knownbase · job 79%solomd · job 83%cachly AI Brain · job 78%meshnote · job 87%membro · job 78%threadline · job 75%Agent Knowledge Memory Wiki · job 82%agent-memory-api · job 76%Meniscus · job 77%noema · job 89%Penfield · job 75%mnemo_3 · job 75%MCP-Memory · job 85%Awareness Local · job 88%Perenna · job 84%Tideline Memory · job 79%Vist · job 76%Maindex Expert Memory Service · job 75%flint_note_mcp · job 77%Montauk · job 82%MemoryD · job 77%gitmem · job 75%OKF Agent Memory · job 81%okc-mcp · job 77%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