TencentCloud/TencentDB-Agent-Memory
TencentDB Agent Memory is a Hermes Agent plugin providing a 4-tier progressive and local-first memory pipeline to enhance AI agents by reducing token usage and improving task success rates.
Awesome Hermes Plugins › Memory Providers
This plugin integrates Graphiti Core with Hermes Agent to provide a sophisticated memory solution based on temporal knowledge graphs. It automatically extracts entities, facts, and relationships from conversations, storing them with timestamps in a Neo4j graph database. Before each conversation turn, the plugin's `prefetch()` function automatically searches Graphiti and injects relevant context into the system prompt, enhancing the agent's contextual understanding. Conversation data is asynchronously saved via `sync_turn()` to avoid blocking operations. The plugin also exposes explicit tools like `graphiti_search` for agent-initiated queries and `graphiti_delete_entity` for managing knowledge graph entries. It features configurable search strategies (fast, balanced, quality), content truncation, and robust credential management via environment variables. The README provides comprehensive documentation on prerequisites, installation methods (GitHub, manual, Docker Compose), and detailed configuration options for the `graphiti.json` file and environment variables, alongside a tested Docker example. This plugin is ideal for Hermes Agent users needing advanced, persistent memory capabilities leveraging knowledge graph technology.
https://github.com/p1s4/hermes-graphiti-plugin
TencentDB Agent Memory is a Hermes Agent plugin providing a 4-tier progressive and local-first memory pipeline to enhance AI agents by reducing token usage and improving task success rates.
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