mirror of
https://github.com/openclaw/openclaw.git
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1ae3afbd6b
- Fix initPromise retry: reset to null on failure so subsequent calls retry instead of returning cached rejected promise - Remove dead code: findPromotionCandidates, findDemotionCandidates, calculateEffectiveImportance (~190 lines, never called) - Add agentId filter to deleteMemory() to prevent cross-agent deletion - Fix phase label swaps: 1b=Semantic Dedup, 1c=Conflict Detection (CLI banner, phaseNames map, SleepCycleResult/Options type comments) - Add autoRecallMinScore and coreMemory config to plugin JSON schema so the UI can validate and display these options - Add embedding LRU cache (200 entries, SHA-256 keyed) to eliminate redundant API calls across auto-recall, auto-capture, and tools - Add Ollama concurrency limiter (chunks of 4) to prevent thundering herd on single-threaded embedding server Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
170 lines
4.6 KiB
JSON
170 lines
4.6 KiB
JSON
{
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"id": "memory-neo4j",
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"kind": "memory",
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"uiHints": {
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"embedding.provider": {
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"label": "Embedding Provider",
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"placeholder": "openai",
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"help": "Provider for embeddings: 'openai' or 'ollama'"
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},
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"embedding.apiKey": {
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"label": "API Key",
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"sensitive": true,
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"placeholder": "sk-proj-...",
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"help": "API key for OpenAI embeddings (not needed for Ollama)"
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},
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"embedding.model": {
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"label": "Embedding Model",
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"placeholder": "text-embedding-3-small",
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"help": "Embedding model to use (e.g., text-embedding-3-small for OpenAI, mxbai-embed-large for Ollama)"
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},
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"embedding.baseUrl": {
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"label": "Base URL",
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"placeholder": "http://localhost:11434",
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"help": "Base URL for Ollama API (optional)"
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},
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"neo4j.uri": {
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"label": "Neo4j URI",
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"placeholder": "bolt://localhost:7687",
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"help": "Bolt connection URI for your Neo4j instance"
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},
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"neo4j.user": {
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"label": "Neo4j Username",
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"placeholder": "neo4j"
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},
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"neo4j.password": {
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"label": "Neo4j Password",
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"sensitive": true
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},
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"autoCapture": {
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"label": "Auto-Capture",
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"help": "Automatically capture important information from conversations"
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},
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"autoRecall": {
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"label": "Auto-Recall",
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"help": "Automatically inject relevant memories into context"
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},
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"autoRecallMinScore": {
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"label": "Auto-Recall Min Score",
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"help": "Minimum similarity score (0-1) for auto-recall results (default: 0.25)"
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},
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"coreMemory.enabled": {
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"label": "Core Memory",
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"help": "Enable core memory bootstrap (top memories auto-loaded into context)"
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},
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"coreMemory.maxEntries": {
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"label": "Core Memory Max Entries",
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"help": "Maximum number of core memories to load per session (default: 50)"
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},
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"coreMemory.refreshAtContextPercent": {
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"label": "Core Memory Refresh %",
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"help": "Re-inject core memories when context usage reaches this percentage (1-100, optional)"
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},
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"extraction.apiKey": {
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"label": "Extraction API Key",
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"sensitive": true,
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"placeholder": "sk-or-v1-...",
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"help": "API key for extraction LLM (not needed for Ollama/local models)"
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},
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"extraction.model": {
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"label": "Extraction Model",
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"placeholder": "google/gemini-2.0-flash-001",
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"help": "Model for entity extraction (e.g., google/gemini-2.0-flash-001 for OpenRouter, llama3.1:8b for Ollama)"
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},
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"extraction.baseUrl": {
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"label": "Extraction Base URL",
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"placeholder": "https://openrouter.ai/api/v1",
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"help": "Base URL for extraction API (e.g., https://openrouter.ai/api/v1 or http://localhost:11434/v1 for Ollama)"
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}
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},
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"configSchema": {
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"type": "object",
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"additionalProperties": false,
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"properties": {
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"embedding": {
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"type": "object",
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"additionalProperties": false,
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"properties": {
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"provider": {
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"type": "string",
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"enum": ["openai", "ollama"]
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},
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"apiKey": {
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"type": "string"
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},
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"model": {
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"type": "string"
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},
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"baseUrl": {
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"type": "string"
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}
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}
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},
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"neo4j": {
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"type": "object",
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"additionalProperties": false,
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"properties": {
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"uri": {
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"type": "string"
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},
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"user": {
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"type": "string"
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},
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"username": {
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"type": "string"
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},
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"password": {
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"type": "string"
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}
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},
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"required": ["uri"]
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},
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"autoCapture": {
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"type": "boolean"
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},
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"autoRecall": {
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"type": "boolean"
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},
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"autoRecallMinScore": {
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"type": "number",
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"minimum": 0,
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"maximum": 1
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},
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"coreMemory": {
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"type": "object",
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"additionalProperties": false,
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"properties": {
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"enabled": {
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"type": "boolean"
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},
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"maxEntries": {
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"type": "number",
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"minimum": 1
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},
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"refreshAtContextPercent": {
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"type": "number",
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"minimum": 1,
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"maximum": 100
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}
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}
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},
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"extraction": {
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"type": "object",
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"additionalProperties": false,
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"properties": {
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"apiKey": {
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"type": "string"
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},
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"model": {
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"type": "string"
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},
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"baseUrl": {
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"type": "string"
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}
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}
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}
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},
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"required": ["neo4j"]
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}
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}
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