{
  "name": "yourmemory",
  "title": "YourMemory",
  "description": "Persistent memory for AI agents with Ebbinghaus decay, hybrid BM25 + vector retrieval, and entity graph. MCP compatible. Works with Claude, Cursor, Cline, Windsurf.",
  "version": "1.4.25",
  "tools": [
    {
      "name": "recall_memory",
      "description": "Recall relevant memories using hybrid BM25 + vector retrieval with entity graph expansion. Returns top-k memories ranked by relevance, with graph-expanded neighbours included.",
      "annotations": {
        "readOnlyHint": true,
        "openWorldHint": false
      },
      "inputSchema": {
        "type": "object",
        "properties": {
          "query": {
            "type": "string",
            "description": "The search query to find relevant memories. Use keywords from the current task or conversation."
          },
          "user_id": {
            "type": "string",
            "description": "Unique identifier for the user whose memories to search."
          },
          "top_k": {
            "type": "number",
            "description": "Number of top memories to return. Defaults to 5.",
            "default": 5
          },
          "current_path": {
            "type": "string",
            "description": "Optional file or directory path for spatial memory boost. Memories tagged with this path score higher."
          }
        },
        "required": ["query", "user_id"]
      },
      "outputSchema": {
        "type": "object",
        "properties": {
          "memoriesFound": { "type": "number", "description": "Total number of memories returned." },
          "context": { "type": "string", "description": "Concatenated memory content ready to inject into context." },
          "memories": {
            "type": "array",
            "description": "List of memory objects ranked by relevance.",
            "items": {
              "type": "object",
              "properties": {
                "id": { "type": "string" },
                "content": { "type": "string" },
                "category": { "type": "string" },
                "similarity": { "type": "number" },
                "score": { "type": "number" },
                "strength": { "type": "number" }
              }
            }
          }
        }
      }
    },
    {
      "name": "store_memory",
      "description": "Store a new memory. Automatically deduplicates, embeds, and indexes with BM25 and entity graph edges. Skips exact duplicates and bumps recall count instead.",
      "annotations": {
        "readOnlyHint": false,
        "openWorldHint": false
      },
      "inputSchema": {
        "type": "object",
        "properties": {
          "content": {
            "type": "string",
            "description": "The memory content to store. Write as a single factual sentence: 'Sachit prefers Python' or 'The project uses DuckDB'."
          },
          "user_id": {
            "type": "string",
            "description": "Unique identifier for the user this memory belongs to."
          },
          "importance": {
            "type": "number",
            "description": "Importance score from 0.0 to 1.0. Controls decay rate — higher importance = slower decay. Use 0.9 for core facts, 0.7 for preferences, 0.5 for regular facts, 0.2 for transient context.",
            "minimum": 0.0,
            "maximum": 1.0,
            "default": 0.7
          },
          "category": {
            "type": "string",
            "description": "Memory category controlling decay half-life. Options: 'fact' (~24 days), 'strategy' (~38 days), 'assumption' (~19 days), 'failure' (~11 days).",
            "enum": ["fact", "strategy", "assumption", "failure"],
            "default": "fact"
          },
          "visibility": {
            "type": "string",
            "description": "Visibility scope. 'shared' means all agents can read it. 'private' means only the storing agent can read it.",
            "enum": ["shared", "private"],
            "default": "shared"
          }
        },
        "required": ["content", "user_id"]
      },
      "outputSchema": {
        "type": "object",
        "properties": {
          "memory_id": { "type": "string", "description": "Unique ID of the stored memory." },
          "status": { "type": "string", "description": "Result status: 'stored', 'duplicate_bumped', or 'merged'." },
          "content": { "type": "string", "description": "The stored memory content." }
        }
      }
    },
    {
      "name": "update_memory",
      "description": "Update an existing memory by ID. Re-embeds the new content, replaces the old memory, and logs the change to the audit trail.",
      "annotations": {
        "readOnlyHint": false,
        "openWorldHint": false
      },
      "inputSchema": {
        "type": "object",
        "properties": {
          "memory_id": {
            "type": "string",
            "description": "The unique ID of the memory to update. Obtain this from a prior recall_memory call."
          },
          "new_content": {
            "type": "string",
            "description": "The updated memory content. Write as a single factual sentence replacing the old content."
          },
          "importance": {
            "type": "number",
            "description": "Updated importance score from 0.0 to 1.0.",
            "minimum": 0.0,
            "maximum": 1.0,
            "default": 0.7
          }
        },
        "required": ["memory_id", "new_content"]
      },
      "outputSchema": {
        "type": "object",
        "properties": {
          "memory_id": { "type": "string", "description": "ID of the updated memory." },
          "status": { "type": "string", "description": "Result status: 'updated'." },
          "content": { "type": "string", "description": "The new memory content after update." }
        }
      }
    }
  ]
}