Tag: memory
Capture structured agent feedback and rules
This skill processes explicit user quality signals (e.g., thumbs up/down) by capturing detailed context, failure modes, and suggested prevention actions. It structures this feedback into reusable memories and rules for improving future agen…
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…
Persistent memory for AI coding agents
This tool provides persistent, queryable memory for AI agents, allowing them to store critical decisions, user preferences, and lessons learned. It uses a hybrid retrieval architecture (vector similarity and full-text search) to ensure agen…
Proactive Context Retrieval for Agent Continuity
This skill proactively retrieves relevant past memories, decisions, and preferences from the mnemo knowledge base. It helps maintain continuity across sessions by surfacing prior context when starting a task or making a significant decision…
Shared memory for agent debugging workflows
This skill guides agents to leverage Noosphere as a shared memory layer for debugging complex issues. Agents must consult existing memories before fixing and upload distilled lessons (patterns, warnings, decisions) afterward for future reus…
Agent Memory Protocol and Context Management
This system provides a complete, protocol-driven memory layer for agents, managing context through structured capture, semantic recall, and consolidation. It uses local SQLite embeddings to ensure persistent, context-aware operation without…
Summarize recent user screen activity
This skill analyzes captured screen activity logs by fetching timeline data, grouping entries by application and task, and estimating time spent. It generates a structured, narrative summary detailing the user's recent workflow.
Report current forge project status
Retrieves a comprehensive overview of the current forge project, detailing the active plan, module dependency graph, iteration history, and saved project learnings. It formats this information into a structured report for immediate develope…
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…