docs: add temporal reasoning llms coverage
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agumpandey
@@ -185,6 +185,7 @@ If the user is on a pre-current major (Python < 2, TS < 3, or Platform `output_f
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### Features - Advanced Retrieval
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- [Advanced Retrieval](https://docs.mem0.ai/platform/features/advanced-retrieval) [Platform]: Use when the user needs keyword search, reranking, or hybrid retrieval.
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- [Criteria-Based Retrieval](https://docs.mem0.ai/platform/features/criteria-retrieval) [Platform]: Use when targeting memories by custom criteria, not just semantic similarity.
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- [Temporal Reasoning](https://docs.mem0.ai/platform/features/temporal-reasoning) [Platform]: Use when time-aware searches like last week, upcoming, or right now need better result ordering.
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- [Contextual Add](https://docs.mem0.ai/platform/features/contextual-add) [Platform]: Use when `add()` should consider the surrounding conversation, not just the latest turn.
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- [Custom Instructions](https://docs.mem0.ai/platform/features/custom-instructions) [Platform]: Use when tailoring what Mem0 extracts and stores on Platform.
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- [Advanced Memory Operations](https://docs.mem0.ai/platform/advanced-memory-operations) [Platform]: Use when basic CRUD is not enough - batch ops, complex filters, workflows.
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+29
-64
@@ -417,10 +417,10 @@
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"nullable": true,
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"description": "Additional metadata associated with the event."
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},
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"results": {
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"type": "array",
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"description": "Array of results produced by the event. For add events, this confirms the write completed; temporal reasoning enrichment runs asynchronously by default."
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},
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"results": {
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"type": "array",
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"description": "Array of results produced by the event. For add events, this confirms the write completed; temporal reasoning enrichment runs asynchronously by default."
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},
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"created_at": {
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"type": "string",
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"format": "date-time",
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@@ -1593,7 +1593,7 @@
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},
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{
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"lang": "JavaScript",
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"source": "// To use the JavaScript SDK, install the package:\n// npm i mem0ai\n\nimport MemoryClient from 'mem0ai';\nconst client = new MemoryClient({ apiKey: \"your-api-key\" });\n\nconst query = \"Your search query here\";\n\nclient.search(query, { filters: { user_id: \"<user_id>\" } })\n .then(result => console.log(result))\n .catch(error => console.error(error));"
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"source": "// To use the JavaScript SDK, install the package:\n// npm i mem0ai\n\nimport MemoryClient from 'mem0ai';\nconst client = new MemoryClient({ apiKey: \"your-api-key\" });\n\nconst query = \"Your search query here\";\n\nclient.search(query, { user_id: \"<user_id>\" })\n .then(result => console.log(result))\n .catch(error => console.error(error));"
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},
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{
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"lang": "cURL",
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@@ -1828,30 +1828,17 @@
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"type": "string",
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"description": "The extracted memory fact."
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},
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"user_id": {
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"type": "string",
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"nullable": true,
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"description": "External user identifier scoping this memory, if any."
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"score": {
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"type": "number",
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"format": "float",
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"minimum": 0,
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"maximum": 1,
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"description": "Combined multi-signal relevance score in [0, 1] (search responses only)."
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},
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"agent_id": {
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"type": "string",
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"nullable": true,
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"description": "External agent identifier scoping this memory, if any."
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},
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"app_id": {
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"type": "string",
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"nullable": true,
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"description": "External app identifier scoping this memory, if any."
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},
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"run_id": {
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"type": "string",
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"nullable": true,
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"description": "External run identifier scoping this memory, if any."
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},
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"metadata": {
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"type": "object",
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"additionalProperties": true,
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"description": "User-supplied metadata attached to the memory."
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"metadata": {
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"type": "object",
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"additionalProperties": true,
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"description": "User-supplied metadata attached to the memory."
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},
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"categories": {
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"type": "array",
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@@ -1867,7 +1854,7 @@
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"type": "string",
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"format": "date-time"
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}
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},
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},
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"required": [
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"id",
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"memory",
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@@ -1888,19 +1875,18 @@
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"next": "https://api.mem0.ai/v3/memories/?page=2&page_size=100",
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"previous": null,
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"results": [
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{
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"id": "mem-uuid",
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"memory": "User moved to San Francisco from New York in January 2026",
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"user_id": "alice",
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"metadata": {},
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"categories": [
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"location"
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],
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"created_at": "2026-01-15T10:30:00Z",
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"updated_at": "2026-01-15T10:30:00Z"
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}
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]
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}
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{
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"id": "mem-uuid",
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"memory": "User moved to San Francisco from New York in January 2026",
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"metadata": {},
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"categories": [
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"location"
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],
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"created_at": "2026-01-15T10:30:00Z",
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"updated_at": "2026-01-15T10:30:00Z"
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}
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]
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}
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}
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}
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},
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@@ -1982,10 +1968,6 @@
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"type": "string",
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"description": "Scope memories to this agent."
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},
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"app_id": {
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"type": "string",
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"description": "Scope memories to this app."
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},
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"run_id": {
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"type": "string",
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"description": "Scope memories to this session / run."
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@@ -1999,17 +1981,6 @@
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"type": "string",
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"description": "Project-level instructions that guide extraction for this call."
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},
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"multilingual": {
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"type": "boolean",
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"nullable": true,
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"description": "Extract memories in the same language as the input."
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},
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"expiration_date": {
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"type": "string",
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"format": "date",
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"nullable": true,
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"description": "Optional expiration date for stored memories."
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},
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"infer": {
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"type": "boolean",
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"default": true,
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@@ -2235,13 +2206,7 @@
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{
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"id": "mem-uuid",
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"memory": "User moved to San Francisco from New York in January 2026",
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"user_id": "alice",
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"score": 0.82,
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"score_breakdown": {
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"semantic": 0.78,
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"bm25": 0.0,
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"entity": 0.0
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},
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"metadata": {},
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"categories": [
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"location"
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@@ -6291,4 +6256,4 @@
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}
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},
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"x-original-swagger-version": "2.0"
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}
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}
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