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 project offers a Hermes Agent dashboard plugin designed to provide a comprehensive, read-only view of the agent's memory systems. It allows users to inspect both built-in memory elements, such as agent notes (`MEMORY.md`) and user profiles (`USER.md`), and to search through past Hermes sessions. A significant feature is its integration with multiple external memory providers, including Holographic memory (a local SQLite fact store), Mem0 Platform memories, Honcho workspace configurations, Mnemosyne local SQLite stores for episodic and factual memory, Hindsight provider states for recall and reflection, and ByteRover CLI project status. Each integrated memory type offers specific data points and filtering options for detailed inspection. The plugin is intentionally designed to be read-only, emphasizing that any memory modifications should occur through Hermes' official `memory` and `fact_store` tools or provider classes to ensure data integrity, validation, and proper maintenance. It includes detailed visualizations with screenshots for each memory type and clear instructions for installation and updating. Requirements include an operational Hermes Agent with web dashboard support and optional external memory providers. The plugin dynamically displays relevant sections based on the active memory provider configuration, making it a valuable tool for debugging, monitoring, and understanding the memory state of a Hermes Agent deployment.
https://github.com/xraysight/hermes-memory-ui
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.
Memori is an agent-native memory infrastructure, offering an LLM-agnostic layer that converts agent execution and conversation into structured, persistent state for production systems, including a ...
Basic Memory is a local-first, knowledge graph-based memory system for AI agents, providing persistent, bidirectional knowledge access via Markdown files and the MCP protocol, including a Hermes pl...
A local-first Markdown memory service with a Hermes Agent plugin that turns conversations and documents into linked, searchable notes using wikilinks, BM25 and optional embedding retrieval.
Mnemosyne is a zero-dependency, sub-millisecond AI memory system for Hermes Agents and other LLM frameworks, focusing on efficient, local, and private knowledge retention.
Memory OS is a 7-layer memory operating system for Hermes Agent, providing persistent memory, structured facts, fabric recall, an auto-curated wiki, and surgical context injection, running locally ...
Memoir is a high-performance semantic memory system for AI agents, offering Git-like version control for AI memory management to combat context contamination, token costs, and memory drift.
Offline, encrypted agentic memory vault that installs into Hermes Agent as a plugin and MCP server, keeping one transferable memory store shared by every agent on the machine.