Predictable Context
A lightweight manifest dictates exactly what context loads. Fragments are strictly typed and prioritized under a defined token budget.
A unified standard and read-only MCP server that grants your AI agents structured, token-efficient awareness of your workspace.
Modern AI coding assistants require profound context to be effective. However, dumping your entire architecture into monolithic files—whether it's .cursorrules, CLAUDE.md, GEMINI.md, or AGENTS.md—wastes tokens, introduces crippling noise, and causes the model to prioritize background reference data over strict behavioral rules.
agenticscope reimagines project context by indexing it. Your AI queries a structured, budgeted manifest of rules, personas, and database schemas—reading only what is highly relevant to the immediate task. Advanced MCP-capable clients (like Windsurf, Zed, and Claude Desktop) don't even need to read static files at all; they dynamically query the agenticscope-mcp server exactly when they need to.