Do you ever ask "Please Claude I need this my account is kinda tokenless " (engram-three.vercel.app)

Engram has announced a groundbreaking context layer designed to enhance the efficiency of AI agents in codebases by drastically reducing token usage and improving context accessibility. By leveraging a live code knowledge graph, Engram delivers project context in just 167 milliseconds, facilitating seamless communication between agents and code while replacing over 20 file-read round-trips with a single structured graph query. The system’s innovative MCP tools allow agents to trace errors, understand the impact of changes, and access a persistent memory that retains vital information across sessions, thereby significantly accelerating the coding process. This development is significant for the AI/ML community as it addresses a common pain point: agents often lack proper context when executing tasks, leading to slow resolutions and inefficiencies. Engram’s features, such as PR-aware context and impact analysis, empower agents to work more intelligently, knowing the dependencies and implications of their changes before acting. With additional capabilities like live architecture documentation and a multi-repo approach, Engram promises to transform how development teams manage and utilize AI, making it an indispensable tool for streamlining collaboration and enhancing productivity.