Apps & Consumer
Reload launches Epic to give AI agents shared memory
Reload raised $2.275 million led by Anthemis and launched Epic, an AI product designed to provide shared context and memory for coding agents.
On Thursday, AI workforce management platform Reload announced it raised $2.275 million in a funding round led by Anthemis. The round also saw participation from Zeal Capital Partners, Plug and Play, Cohen Circle, Blueprint, and Axiom. Alongside the funding, the company launched its first AI product, Epic, which is built on top of the Reload platform to help organizations manage AI agents—autonomous software programs that use AI to perform tasks. The platform allows companies to connect both third-party and internally built agents, assign them roles, and track their work. According to Reload CEO Newton Asare, the platform serves as an authoritative data source for AI employees, offering visibility, coordination, and oversight as they work across different functions.
The launch of Epic addresses a limitation in software development: coding agents—AI tools used for software development tasks like coding and debugging—do not necessarily retain long-term memory of product requirements or intent. Asare noted that while these agents can generate large amounts of code, they do not preserve a shared system understanding over time. Epic acts as an architect alongside these agents, defining system requirements upfront and maintaining shared project-level context as the system evolves. Asare explained that Epic does not replace coding agents, but rather makes them more effective by defining the system upfront and maintaining shared context as it evolves.
Epic operates directly within the environments where developers already work, integrating as an extension in AI-assisted code editors such as Cursor and Windsurf. When a project begins, the product helps establish core system artifacts, including product requirements, data models, API specifications, tech stack decisions, diagrams, and structured task breakdowns. As development continues, it maintains a structured memory of decisions and code changes, ensuring that if a team switches coding agents or if multiple engineers use different agents, they all build against the same shared source of truth.
This focus on infrastructure for AI employees positions Reload within the AI infrastructure space, where it competes with companies like LongChain, which assists with agent deployment and memory management, and CrewAI, which helps enterprises manage agents. However, Reload CTO Kiran Das explained that traditional workforce systems were not designed for AI agents operating as teammates. “That’s the layer we’re focused on,” said Kiran Das, the company’s CTO.
Why it matters
Reload is launching Epic to provide a system of record—the authoritative data source for an organization—for AI agents. The product addresses a critical gap in software development where autonomous agents lack the long-term memory and shared context required to maintain system consistency over time.