© 2026 YOLOX SYSTEM. ALL RIGHTS RESERVED.
Persistent memory and context management for AI agents to keep track of project background, decisions, and lessons across sessions.
When you need to keep context across different AI sessions or repos
Recording project-specific background, decisions, or acceptance criteria
Searching through prior conclusions and knowledge sharing in multi-agent workflows
Share initialize project: Run 'oc init' to set up the context store in your repository
Share load context: Use '/opencontext-context' to load project background before starting work
Share search documents: Query existing documents using '/opencontext-search' to find relevant conclusions
Share store conclusions: Use '/opencontext-iterate' to record new decisions, pitfalls, and lessons learned
Share manage folders: Organize context into folders for different projects or domains
You
I'm starting a new feature. Can you load the relevant background and any pitfalls I should avoid?
Agent
The agent loads the project context from OpenContext, highlighting previous architectural decisions and a list of common pitfalls recorded by other agents.
Gives your agent the ability to fetch up-to-date documentation for any library or framework, ensuring it uses the latest APIs and best practices instead of outdated knowledge.
Gives your agent the ability to generate a comprehensive map of all relevant files, dependencies, and patterns before implementing any code changes.
Gives your agent the ability to identify and request all necessary files before answering complex technical questions.
Gives your agent the ability to create, repurpose, and schedule engaging social media content for platforms like LinkedIn, Twitter/X, and Instagram to build your audience.
Gives your agent the ability to plan a strategic content roadmap that drives traffic and generates leads by balancing searchable and shareable content.
© 2026 YOLOX SYSTEM. ALL RIGHTS RESERVED.