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Reload wants to give your AI agents a shared memory

techtost.comBy techtost.com20 February 202604 Mins Read
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There came a point when Newton Asare realized that AI agents were no longer just tools. “They functioned more like teammates,” he told TechCrunch.

The realization crystallized when Asare and Kiran Das, both founders of the series, noticed that they were using AI agents to perform tasks they would normally do themselves. Asare said he came to believe the future lies with humans managing AI employees.

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

Last year, the duo started Refillan AI workforce management platform. On Thursday, the company announced the first AI product, Epicalong with a $2.275 million round led by Anthemis, with participation from Zeal Capital Partners, Plug and Play, Cohen Circle, Blueprint and Axiom.

Reload is a platform that allows organizations to manage AI agents across teams and departments. Companies can connect agents, regardless of who built them (whether third-party or in-house), assign them roles and permissions, and monitor the work they perform. “Reload acts like the system of record for AI employees, providing visibility, coordination and oversight as agents operate across functions,” said Asare, the company’s CEO.

Right now, he noted, teams use multiple agents simultaneously for tasks like coding, debugging and refactoring. The problem is that these agents often focus solely on what they were asked to do and don’t necessarily retain the long-term memory of what a product is or why they were told to perform a certain function. They work, in other words, only with short-term memory.

Over time, an agent may lose context or the system may evolve away from its original intent. That’s why Reload is launching Epic. Built on the Reload platform, it serves as an architect alongside other coding agents, constantly defining the requirements and constraints of a product and reminding agents what they’re building and why, to keep a system consistent as it develops.

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“In software development in particular, coding agents can create large amounts of code, but they don’t maintain a shared understanding of the system over time,” Asare said. “Epic complements these agents by defining the system upfront and maintaining the common framework as it evolves. It doesn’t replace coding agents, it makes them more efficient.”

Epic is designed to live inside the coding environments where developers already work. It can be installed as an extension to AI-assisted code editors such as Cursor and Windsurf, running alongside other agents within these tools.

“When a team starts a project, Epic helps create the core system artifacts, such as product requirements, data models, API specifications, technology stack decisions, diagrams, and structured task breakdowns,” Asare said, adding that these are the foundations on which coding agents build.

“As development progresses, Epic maintains a structured memory of decisions, code changes, and templates,” he continued. “If you change coding agents, your structure and memory follow. If multiple engineers use different agents on the same project, they’re all building against the same common source of truth.”

Asare and Das previously had a company together that was acquired and this is their second company together.

The AI ​​infrastructure space is crowded. Competitors include LongChain, which helps develop and manage the memory of AI agents, and CrewAI, which helps businesses manage their AI agents.

Das said Epic is different because it “defines the system up front and maintains shared project-level context between agents and sessions,” with a focus specifically on building infrastructure to sustain AI agents. “Traditional workforce systems were not designed for AI agents acting as teammates,” said Das, who serves as the company’s CTO. “That’s the layer we’re focusing on.”

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

This piece has been updated to add the other investors in the round.

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