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AGI MCP Server

search_memories_advanced

Perform an advanced memory search using text queries, vector embeddings, memory types, importance range, and date filters to retrieve relevant results from the AGI MCP Server’s persistent memory system.

Instructions

Advanced memory search with multiple criteria

Input Schema

NameRequiredDescriptionDefault
criteriaYes

Input Schema (JSON Schema)

{ "properties": { "criteria": { "properties": { "date_range": { "default": {}, "properties": { "end": { "format": "date-time", "type": "string" }, "start": { "format": "date-time", "type": "string" } }, "type": "object" }, "embedding": { "description": "Vector embedding for similarity search", "items": { "type": "number" }, "type": "array" }, "importance_range": { "default": [ 0, 1 ], "description": "Importance range [min, max]", "items": { "type": "number" }, "maxItems": 2, "minItems": 2, "type": "array" }, "limit": { "default": 10, "description": "Maximum number of results", "type": "integer" }, "memory_types": { "default": [], "description": "Filter by memory types", "items": { "type": "string" }, "type": "array" }, "text_query": { "description": "Text search query", "type": "string" } }, "type": "object" } }, "required": [ "criteria" ], "type": "object" }

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/cognitivecomputations/agi-mcp-server'

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