RAME Code

RAME Code v0.2.0 is a modular, local-first AI coding extension for Visual Studio Code, built during the Meta AI Hackathon to make AI-assisted development persistent, auditable, privacy-conscious, and verifiable. Today's coding agents often operate through opaque conversations, lose important context, and blur the boundaries between model suggestions and authorized actions. RAME addresses these limitations through a host-governed architecture: the AI proposes, the human authorizes, and the host executes and verifies. KEY CAPABILITIES LOCAL-FIRST AND SCALABLE: RAME supports locally served AI models through configurable inference endpoints, including LM Studio. Users can choose their models and infrastructure, from personal computers to more powerful inference servers, without making cloud processing mandatory. PRIVACY AND HUMAN CONTROL: Project access, tool execution, persistent memory, and external connections are governed by explicit permissions. Users retain control over when external AI services are enabled and what information may be transmitted. This privacy-oriented design supports data-minimization and GDPR-conscious workflows, without claiming automatic regulatory compliance. META MUSE AND OPTIONAL CLOUD ADVISORY: RAME integrates Meta Model API, with real Muse Spark responses demonstrated in Chat. An optional Meta Advisory mechanism can be configured to request limited assistance when a local model encounters a recoverable obstacle during a Mission. Advisory requests follow explicit authorization and data-budget controls. This Mission integration has been tested through simulations, not yet validated through a live Meta Advisory execution. GOVERNED CODING MISSIONS: RAME supports supervised and autonomous coding workflows with human authorization, controlled workspace access, and host-side verification. A recorded real Mission created a JavaScript project and completed three passing tests. PERSISTENT, GOVERNED MEMORY: Project decisions and context can persist across interactions, with versioning, provenance, and human approval before durable modifications. Real demonstrations document approved memory updates and subsequent retrieval. AUTHORIZED INTERNET ACCESS: Agent can perform approved web searches and retrieve online sources. Real Internet access was demonstrated with a locally served model over a LAN. Experimental web capabilities are also available in Chat and Mission, with appropriate permission boundaries. MODULAR ARCHITECTURE: RAME is designed for extension, allowing additional models, tools, security controls, and development workflows to be integrated and improved over time. The result is an installable VS Code extension with public source code, recorded evidence, security-focused tests, and documented limitations. RAME's mission is to make AI development more transparent, adaptable, and accountable: local intelligence by default, optional cloud assistance, human authority, and independently observed results.