Reload wants to give your AI agents a shared memory

Source: TechCrunch

Background

Newton Asare realized that AI agents were becoming more like teammates than mere tools, a point he discussed with TechCrunch. The insight came as Asare and fellow serial founder Kiran Das found themselves relying on AI agents to perform tasks they would normally do themselves. Asare now believes the future lies in people managing AI “employees.”

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

Reload Platform

Last year the duo launched Reload, an AI workforce‑management platform. Reload lets organizations connect, assign roles and permissions to, and monitor AI agents across teams and departments—regardless of whether the agents were built internally or by third parties. Asare, Reload’s CEO, describes it as “the system of record for AI employees, providing visibility, coordination, and oversight as agents operate across functions.”

Product Announcement: Epic

On Thursday, Reload announced its first AI product, Epic, alongside a $2.275 million funding round led by Anthemis, with participation from Zeal Capital Partners and Plug and Play.

What Epic Does

Epic is built on top of the Reload platform and acts as an architect for coding agents. It continuously defines a product’s requirements and constraints, reminding agents what they are building and why, thereby preserving shared system understanding over time.

“In software development specifically, coding agents can generate large amounts of code, but they don’t preserve shared system understanding over time,” Asare explained. “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.”

Integration

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

Workflow

• Project kickoff: Epic helps create core system artifacts—product requirements, data models, API specifications, tech‑stack decisions, diagrams, and structured task breakdowns.
• Ongoing development: Epic maintains a structured memory of decisions, code changes, and patterns. If a team switches coding agents or multiple engineers use different agents on the same project, everyone continues to build against the same shared source of truth.

Founders’ History

Asare and Das previously co‑founded a company that was acquired; Reload is their second joint venture.

Market Landscape

The AI infrastructure space is crowded. Competitors include:

• LongChain – focuses on AI agent deployment and memory management.
• CrewAI – helps enterprises manage their AI agents.

Das, Reload’s CTO, emphasizes the company’s differentiation:

“Reload defines the system upfront and maintains shared project‑level context across agents and sessions, with a focus specifically on building infrastructure to maintain AI employees. Traditional workforce systems weren’t designed for AI agents operating as teammates—that’s the layer we’re focused on.”

Funding Use

The fresh capital will be used for hiring and product advancement, particularly expanding the infrastructure needed to support a growing number of AI agents.

“We’re building for the next era of work,” Asare concluded.