plugins-index.json

[{"name":"auto-summarizer","version":"0.1.0","description":"Maintains a running conversation summary to help agents handle long conversations without losing context"},{"name":"context-decay","version":"0.1.0","description":"Time-based memory decay with relevance scoring for natural context forgetting"},{"name":"conversation-logger","version":"0.1.0","description":"Logs all conversations to JSONL files for auditing, analytics, and debugging"},{"name":"episodic-memory","version":"0.1.0","description":"Episode-based memory segmentation and recall for cross-conversation context continuity"},{"name":"guardrails","version":"0.1.0","description":"Safety filter that detects potentially harmful content patterns and injects warnings into agent context"},{"name":"keyword-memory","version":"0.1.0","description":"Extracts keywords and named entities from user messages and returns them as contextual memories"},{"name":"mempalace-indexer","version":"0.3.0","description":"Auto-index conversations into MemPalace and recall relevant memories. No API keys, no cloud."},{"name":"sentiment-tracker","version":"0.1.0","description":"Analyzes user message sentiment and injects emotional context so agents can respond with appropriate tone"},{"name":"todo-tracker","version":"0.1.0","description":"Detects action items and tasks mentioned in conversations, persists them, and recalls them as context"},{"name":"topic-memory","version":"0.1.0","description":"Topic-aware memory recall with keyword clustering for cross-conversation context"},{"name":"user-profile","version":"0.1.0","description":"Persistent user profiling from conversation patterns for personalized agent responses"}]