Tag: persistence
Persistent memory and knowledge management server
A robust memory server designed for agents to manage persistent knowledge and context. It facilitates advanced retrieval (semantic, hybrid) and knowledge absorption, automatically handling supersession, deduplication, and consolidation of f…
Persistent Agent Memory and Failure Prevention
This tool provides persistent, structured memory for agents across sessions. It allows developers to capture detailed success or failure feedback, automatically generating prevention rules that guide the agent to avoid repeating past mistak…
Persistent, Consensus-Validated Memory for AI Agents
This tool provides a local, persistent knowledge layer for agents, ensuring memories undergo BFT consensus validation and decay over time. It allows agents to recall context, track tasks, and maintain continuity across sessions without rely…
Persistent Memory and Knowledge Graph for Agents
This system provides persistent, structured memory for agents, allowing them to store, recall, and connect context across sessions. It utilizes a hybrid search mechanism combining vector, BM25, and graph traversal for robust knowledge compo…
Structured Memory Commit and Persistence
This skill allows the agent to manually commit critical context—such as decisions, preferences, or technical facts—into a persistent memory store. It enforces structured capture by requiring a defined context type and explicit reasoning (th…
Persistent, Versioned Memory for AI Agents
This tool provides agents with a structured, versioned knowledge base, allowing for the storage of facts and complex summaries via keypaths. It supports semantic search, full project history tracking, and conflict detection, acting as a rob…
Persist conversation state into long-term memory
This skill persists the current conversation state into a dedicated memory store, ensuring critical facts, decisions, and architectural choices survive context compaction, session boundaries, or model handoffs. It provides structured method…
Persists user facts and preferences across sessions
Captures explicit user statements, preferences, and project decisions immediately upon trigger. It structures this information using defined types, scopes, and importance levels for persistent retrieval in future sessions.
Persistent memory for knowledge and context storage
This skill allows the agent to persist critical context, such as architectural decisions, bug fixes, or discovered patterns, into a structured memory system. It employs a predictive coding gate to automatically filter noise, ensuring only g…
UnClick Persistent Memory Protocol Implementation
This skill enforces a mandatory, four-step protocol for managing persistent, cross-session user context via the UnClick MCP server. It ensures the agent proactively loads, searches, saves facts, and saves session summaries to maintain conti…
Persistent knowledge management and memory server
Memora is an MCP memory server designed for robust, persistent knowledge management and context loading. It facilitates advanced retrieval (semantic/hybrid search) and knowledge absorption, automatically handling supersession, deduplication…
Persistent Semantic Memory for Context and Knowledge
This system provides persistent, semantic memory storage, allowing agents to retain and retrieve knowledge, architectural decisions, and task context across multiple sessions. It supports structured organization via hierarchies, dedicated T…