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33:T629,

Overhaust is a context intelligence layer built to make AI agents more efficient at building software.

As AI coding agents become increasingly capable, they are also becoming increasingly inefficient with context. Agents often spend large amounts of tokens and time rereading project files, searching through codebases, reconstructing architecture, revisiting old conversations and rediscovering decisions that were already made. This leads to higher AI costs, slower development and inconsistent results.

Overhaust sits between a developer's project and AI agents such as Cursor, Claude Code, Replit and other agentic development tools. It continuously builds an understanding of the project by combining conversation history, codebase structure, project memory and relationships between different pieces of information.

When an agent receives a task, Overhaust determines what information is actually relevant and provides a focused context instead of forcing the agent to explore everything from scratch.

The platform combines persistent memory, project indexing, relevance-based retrieval, knowledge graphs and MCP-based integrations to create a shared context layer for AI agents.

The goal is not to replace AI coding agents, but to make them significantly more effective.

Overhaust's long-term vision is to become the context infrastructure for the agentic software development ecosystem, enabling AI agents to work with persistent project knowledge while using less context, fewer tool calls and less compute.

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Overhaust is a context intelligence layer built to make AI agents more efficient at building software.

When an agent receives a task, Overhaust determines what information is actually relevant and provides a focused context instead of forcing the agent to explore everything from scratch.

The platform combines persistent memory, project indexing, relevance-based retrieval, knowledge graphs and MCP-based integrations to create a shared context layer for AI agents.

The goal is not to replace AI coding agents, but to make them significantly more effective.

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