Tag: context-management
Framework for Creating Agentic LLM Skills
This skill provides a comprehensive guide to designing and implementing modular, specialized agentic skills. It details best practices for context management, resource bundling, and progressive disclosure to extend LLM capabilities efficien…
UnClick Persistent Memory Protocol
A protocol for managing persistent, cross-session memory using the UnClick MCP server. It enables agents to load, search, and save user preferences, identities, and session summaries to maintain context across interactions.
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…
Framework for Creating Agentic Skills
This skill provides a comprehensive framework for developing modular, specialized agent capabilities. It guides developers on structuring context efficiently using metadata, scripts, and reference files to extend general-purpose agents.
Framework for Creating Specialized AI Skills
This skill provides a comprehensive framework for designing and implementing modular, specialized agent skills. It guides developers on structuring context, managing resources (scripts, references, assets), and adhering to progressive discl…
Agentic Memory Protocol for Context Management
This protocol guides agents on implementing robust, persistent memory context by defining when and how to search and write memories. It mandates deliberate context retrieval using structured metadata filters and ensures key learnings, decis…
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…
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…
Load Project Memories at Session Start
Retrieves persistent project memories, pending tasks, and active reminders from CogmemAi to ensure continuity across sessions. It is designed to be executed at the start of a session or following context compaction to maintain full project …
Interface to external, shared knowledge store
This skill provides an interface to the 'Brain,' an external, authoritative knowledge store designed for team-shared context. It allows agents to discover and retrieve durable information, such as domain research, project history, and conve…
Flaiwheel: Contextual Knowledge Base Workflow
This skill establishes institutional memory by automatically capturing and retrieving project context, architectural decisions, bug fixes, and API changes throughout a coding session. It guides the agent to proactively document learnings an…
Persistent Context Memory for Claude Code
Provides a mechanism to save and search Claude Code sessions, ensuring that decisions, code snippets, and context persist across conversations. It allows developers to retrieve structured summaries and key conversation details using natural…
Knowledge Base for Project Context and Memory
This skill establishes institutional memory by automatically capturing and retrieving project context, architectural decisions, bug fixes, and API changes across development sessions. It guides the developer through mandatory steps, such as…
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…
Cognitive Profiling and Methodology Management
Analyses session history to build and manage a cognitive profile encompassing work patterns, blind spots, and cross-domain connections. It enables the calibration of agent responses by tracking behavioural features and cognitive styles acro…
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).
Three-Layer Memory Retrieval Skill
Implements a hierarchical three-layer workflow for token-efficient retrieval of historical project context, decisions, and error logs. It enables progressive querying from lightweight search indices to temporal timelines and detailed conten…
Structured workflow for recalling project history and context
This skill implements a token-efficient, three-layer memory retrieval workflow, allowing agents to search, contextualise, and retrieve past decisions, errors, and project history. It guides the agent through indexed searching, temporal cont…
Persistent memory and context management for agents
This comprehensive system provides persistent, structured memory management for agents, enabling the logging of rules, decisions, and mistakes. It includes robust session mining capabilities to analyze historical conversations and predict n…
Persistent Long-Term Memory Triage Protocol
Evaluates conversational turns to extract, organise, and persist durable, actionable facts into long-term memory using the mem0 framework. It employs a multi-gate decision process to ensure stored information is novel, factual, and secure.
Agent Context Graph for Codex Capture
This skill facilitates the setup and verification of Codex activity capture into Memgraph, managing runtime hook wiring and providing diagnostic capabilities for event-driven graph updates.
Mureo Strategy and Campaign State Management
Manages business strategy and campaign state using Markdown and JSON files to ensure AI agents make strategy-aligned advertising decisions. It tracks personas, brand voice, and quantitative marketing goals alongside campaign configuration s…
Ad Operations Strategy and State Management
Manages business strategy and campaign state through structured Markdown and JSON files. This allows AI agents to execute advertising operations that are aligned with defined personas, brand voices, and quantitative marketing goals.