agentforge-context

What problem does it solve?

Context engineering is the agent's cognitive bandwidth management. It ensures finite context windows are used efficiently, memory is organized, and prompts are optimized for long-running tasks across multiple phases.

Core Features & Use Cases

• Layered system prompts with progressive disclosure to load context incrementally.
• Prompt Cache, auto-compact, and memory management to reduce token usage.
• RAG budgeting and codebase repo maps for large-scale tasks.
• Multi-tenant context isolation to securely separate per-request contexts.

Quick Start

Load and enable the Phase 3 Context Engineering prompts, activate layered prompts, prompt caching, and automatic compression in your agent to improve throughput and lower token costs.