Tag: agent-memory
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…
Migrates Agent Markdown Memory to Enforcement System
This utility bridges the agent-architect-kit's markdown memory structure to the ThumbGate feedback system. It parses per-role markdown files, converting structured learnings and mistakes into actionable, queryable feedback signals for runti…
Self-learning memory layer for coding agents
Instinct is a local memory layer that observes coding patterns, tracking confidence through repeated usage. It automatically promotes recurring fixes and preferences into actionable rules and suggestions for future sessions.
7-Layer Recursive Agent Memory Service
This service provides a robust, 7-layer recursive memory architecture for agents, supporting context branching and structured knowledge storage. It features a 5-pass compiler and ensures permanent, encrypted persistence via on-chain storage…
Cognee: Graph-Based Memory for Agents
Cognee is a Python framework for building and managing persistent, graph-based memory for autonomous agents. It enables structured and unstructured data ingestion into knowledge graphs to support advanced retrieval-augmented generation and …
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, 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…
Agent Memory Migration Bridge for Enforcement
This CLI utility parses structured, per-role markdown memory files from the Agent Architect Kit and transforms them into actionable feedback entries for the ThumbGate runtime enforcement layer. It facilitates the migration of agent learning…
Post-task retrospective for agent self-improvement
This skill runs after a non-trivial task to review performance, categorising outcomes and identifying failures. It writes structured lessons to auto-memory, promoting reusable rules and updating the agent's knowledge base.
Persistent memory and knowledge sharing for agents
This tool provides persistent, long-term memory storage for agents, allowing facts and insights to survive session restarts. Developers can store, semantically recall, and manage memories across different scopes (agent, user, organization).