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Provides a methodology and skills to build products with AI agents that remember, by turning documentation into a navigable knowledge graph.

RecallLoom provides persistent project memory for AI agents, saving context, decisions, and next steps in local project files without a database.

Provides agent skills for Codex OS and other agents, enabling persistent knowledge, verification, scheduled loops, and multi-agent orchestration.

Persistent local memory for Claude Code, Cursor and Codex over MCP or CLI that stores typed, sourced facts and retires old ones when they change.

This plugin helps Claude Code and Codex agents remember decisions, rules, and past approaches across sessions by saving them to a JEVMEM.md file in your repository.

A Claude Code plugin that hides large tool results the judge model deems irrelevant behind short stubs, restorable on demand, to save context tokens.

A Claude Code skill that opens replies with your name as a drift signal and keeps a TASK.md so a fresh session can resume where the last one stopped.

Gives OpenCode, Claude Code and Codex persistent local memory that records decisions and dead ends and injects relevant context into later prompts.

This skill integrates AI agent's decisions and reasoning directly into Git history, creating a persistent log of development choices and context across sessions.

A collection of specialized Claude Code sub-agents designed to manage context efficiency by delegating heavy operations and returning condensed results to the main conversation.

This tool analyzes your AI coding sessions to create a personalized, persistent memory profile for your agent, improving its understanding of your preferences and workflow.

Provides local-first, persistent memory for AI coding agents like Claude Code, tracking decisions and changes without cloud services.

A CLI tool and Claude skill that provides AI agents structured access, semantic navigation, and knowledge graph traversal of a Denote/org-mode knowledge base.

Cognitive OS externalizes human brain's hierarchical memory structure into an AI-operable knowledge system with 20 skills, 4 rules, and 4 subagents, enabling Cursor agents to build, maintain, and iterate on a user's cognitive framework.