5d499c552b
Long-term memory plugin using Memvid SDK with: - Efficient compressed storage (.mv2 format) - Full conversation history preservation - Hybrid search (semantic + lexical) - RAG capabilities - PII protection for all session transcripts
58 lines
1.7 KiB
JSON
58 lines
1.7 KiB
JSON
{
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"id": "memory-memvid",
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"name": "Memory (Memvid)",
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"description": "Long-term memory using Memvid SDK. Provides efficient storage, hybrid search, and RAG capabilities with full conversation history preservation.",
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"kind": "memory",
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"version": "2026.1.27",
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"author": "Memvid",
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"repository": "https://github.com/memvid/memvid",
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"configSchema": {
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"type": "object",
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"properties": {
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"memoryPath": {
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"type": "string",
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"description": "Path to the .mv2 memory file (default: ~/.clawdbot/memories/moltbot.mv2)"
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},
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"openaiApiKey": {
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"type": "string",
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"description": "OpenAI API key for embeddings (uses OPENAI_API_KEY env var if not set)"
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},
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"embeddingModel": {
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"type": "string",
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"description": "OpenAI embedding model",
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"default": "text-embedding-3-small"
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},
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"autoRecall": {
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"type": "boolean",
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"description": "Automatically inject relevant memories before agent starts",
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"default": true
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},
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"autoCapture": {
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"type": "boolean",
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"description": "Automatically capture important information after agent ends",
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"default": true
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},
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"topK": {
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"type": "number",
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"description": "Number of results to return from memory search",
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"default": 5
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},
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"snippetChars": {
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"type": "number",
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"description": "Maximum characters per snippet",
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"default": 500
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},
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"minScore": {
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"type": "number",
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"description": "Minimum similarity score for memory matches (0-1)",
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"default": 0.3
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},
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"ragModel": {
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"type": "string",
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"description": "Model for RAG answers",
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"default": "gpt-4o-mini"
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}
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}
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}
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}
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