Reload wants to give your AI agents a shared memory | TechCrunch

TechCrunch

by Dominic-Madori Davis

February 19, 2026

AI-Generated Deep Dive Summary

Reload, an AI workforce management platform, has introduced its first product, Epic, designed to solve a critical challenge in managing AI agents: their lack of long-term memory and shared context. Founder Newton Asare identified that while AI agents perform tasks effectively, they often operate with short-term memory, leading to inconsistencies over time. Reload addresses this by acting as a "system of record" for AI employees, providing visibility, coordination, and oversight across teams. The platform allows organizations to connect AI agents built by any provider, assign roles, and track their performance while maintaining shared understanding. Epic, built on the Reload platform, specifically targets software development by complementing coding agents with a system that defines product requirements upfront and maintains shared context throughout development. It integrates seamlessly into coding environments as an extension in tools like Cursor and Windsurf, ensuring consistency even when switching agents or collaborating across teams. By creating foundational system artifacts and maintaining structured memory of decisions and code changes, Epic ensures that all team members work from the same source of truth. Reload's solution is particularly relevant as AI adoption grows, with companies increasingly relying on multiple AI agents for tasks like coding and debugging. Traditional workforce management systems were not designed for AI agents operating as teammates, leaving a gap in managing their shared knowledge and coordination. Reload stands out by focusing on building infrastructure to maintain AI employees' context over time, making it easier for teams to manage complex projects with distributed AI workers. The company's $2.275 million funding round led by Anthemis underscores the potential of this approach. Reload aims to simplify collaboration between humans and AI agents, ensuring that as AI becomes an integral part of teams, its contributions remain aligned with project goals. This innovation could significantly enhance productivity and consistency in software development, making it a key player in the emerging AI workforce management space.

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Originally published on TechCrunch on 2/19/2026