Reload wants to give your AI agents a shared memory

There was a point when Newton Asare began to feel that AI agents weren’t just tools anymore. “They were operating more like teammates,” he said.

That idea solidified when Asare and Kiran Das — both serial founders — realised they were increasingly relying on AI agents to handle tasks they would normally handle themselves. Asare said that led him to believe the future may involve people managing AI employees.

“And if that’s true, we’ll need a real system to manage them, with structure around onboarding, coordination, and oversight for digital workers,” he added.

Last year, the two founders launched Reload, an AI workforce management platform. On Thursday, the company announced its first AI product, Epic, along with a $2.275 million funding round led by Anthemis, with participation from Zeal Capital Partners, Plug and Play, Cohen Circle, Blueprint, and Axiom.

Reload is designed to help organisations manage AI agents across teams and departments. Companies can connect agents regardless of who built them — whether third-party tools or internal systems — assign roles and permissions, and track the work agents perform. “Reload acts like the system of record for AI employees, providing visibility, coordination, and oversight as agents operate across functions,” said Asare, Reload’s CEO.

Asare said teams today often run multiple agents simultaneously for tasks such as coding, debugging, and refactoring. The issue, he said, is that these agents tend to focus only on the prompt in front of them and don’t retain long-term memory of what a product is or why they were instructed to do something. In other words, they operate with short-term memory.

Over time, an agent can lose context, or the system can drift away from its original intent. That’s the problem Reload is addressing with Epic. Built on top of the Reload platform, Epic serves as an architect alongside other coding agents, continuously defining requirements and constraints while reminding agents what they are building and why, so systems stay consistent as they develop.

“In software development specifically, coding agents can generate large amounts of code, but they don’t preserve shared system understanding over time,” Asare said. “Epic complements those agents by defining the system upfront and maintaining shared context as it evolves. It doesn’t replace coding agents; it makes them more effective.”

Epic is designed to operate inside the coding environments developers already use. It can be installed as an extension in AI-assisted code editors like Cursor and Windsurf, running alongside other agents inside those tools.

“When a team starts a project, Epic helps create the core system artefacts such as product requirements, data models, API specifications, tech stack decisions, diagrams, and structured task breakdowns,” Asare said, noting that these form the foundation that coding agents build against.

“As development progresses, Epic maintains a structured memory of decisions, code changes, and patterns,” he said. “If you switch coding agents, your structure and memory follow. If multiple engineers use different agents on the same project, everyone builds against the same shared source of truth.”

Asare and Das previously built a company together that was acquired, making Reload their second venture as co-founders.

The broader AI infrastructure market is crowded, with competitors including LongChain, which helps with AI agent deployment and memory management, and CrewAI, which helps enterprises manage AI agents.

Das said Epic stands apart because it “defines the system upfront and maintains shared project-level context across agents and sessions,” with a specific focus on building infrastructure to support AI employees. “Traditional workforce systems weren’t designed for AI agents operating as teammates,” said Das, Reload’s CTO. “That’s the layer we’re focused on.”

The new funding will be used for hiring and product development, including expanding the infrastructure needed to support a growing number of AI agents. “We’re building for the next era of work,” Asare said.