Reload equips AI agents with shared memory to boost collaboration and efficiency

Newton Asare reached a turning point when he realized AI agents had evolved beyond simple tools. “They were starting to function more like actual teammates,” he explained to TechCrunch.
This insight solidified when Asare and Kiran Das, both experienced serial founders, noticed they were delegating tasks to AI agents that they would typically handle themselves. Asare concluded that the future of work lies in humans managing AI staff.
“If that’s the case, we need a robust system to manage them, with structured processes for onboarding, coordination, and oversight of these digital workers,” he noted.
Last year, the pair launched Reload, an AI workforce management platform. On Thursday, the company unveiled its first product, Epic, and announced a $2.275 million funding round led by Anthemis, with participation from Zeal Capital Partners, Plug and Play, Cohen Circle, Blueprint, and Axiom.
Reload enables organizations to oversee AI agents across various teams and departments. Companies can integrate agents regardless of their origin—whether built in-house or by third parties—assign roles and permissions, and monitor their activities. “Reload serves as the system of record for AI employees, offering visibility, coordination, and oversight as agents operate across different functions,” said Asare, Reload’s CEO.
Currently, he noted, teams often use multiple agents simultaneously for tasks like coding, debugging, and refactoring. The issue is that these agents typically focus only on immediate prompts and lack long-term memory regarding the product’s overall purpose or their specific role. In essence, they operate with only short-term memory.
Over time, agents may lose context, or the system may drift from its original intent. This is why Reload is launching Epic. Built on the Reload platform, Epic acts as an architect alongside other coding agents, continuously defining product requirements and constraints, and reminding agents of their goals to ensure system consistency as it evolves.
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Save up to $300 on your pass or save up to 30% with group tickets for teams of four or more.
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On June 23 in Boston, more than 1,100 founders gather at TechCrunch Founder Summit 2026 for a full day dedicated to growth, execution, and real-world scaling. Learn from industry-shaping founders and investors. Connect with peers facing similar challenges. Leave with actionable tactics you can implement immediately
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Boston, MA|June 23, 2026REGISTER NOW“In software development, coding agents can generate vast amounts of code, but they fail to preserve a shared understanding of the system over time,” Asare said. “Epic complements these agents by establishing the system upfront and maintaining shared context as it evolves. It doesn’t replace coding agents; it enhances their effectiveness.”
Epic is designed to integrate seamlessly into the coding environments developers already use. It can be installed as an extension in AI-assisted editors like Cursor and Windsurf, running alongside other agents within these tools.
“When a team begins a project, Epic helps generate core system artifacts such as product requirements, data models, API specifications, tech stack decisions, diagrams, and structured task breakdowns,” Asare explained, noting that these form the foundation upon which coding agents build.
“As development progresses, Epic maintains a structured memory of decisions, code changes, and patterns,” he continued. “If you switch coding agents, your structure and memory move with you. If multiple engineers use different agents on the same project, everyone builds against a single source of truth.”
Asare and Das previously co-founded a company that was acquired, making this their second venture together.
The AI infrastructure space is highly competitive. Competitors include LongChain, which assists with AI agent deployment and memory management, and CrewAI, which helps enterprises manage their AI agents.
Das stated that Epic differs 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, the company’s CTO. “That’s the layer we’re focused on.”
The new funding will support hiring and product development, specifically expanding the infrastructure needed to support a growing number of AI agents. “We’re building for the next era of work,” Asare said.
This article was updated to include other investors in the round.
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Newton Asare reached a turning point when he realized AI agents had evolved beyond simple tools. “They were starting to function more like actual teammates,” he explained to TechCrunch.
This insight solidified when Asare and Kiran Das, both experienced serial founders, noticed they were delegating tasks to AI agents that they would typically handle themselves. Asare concluded that the future of work lies in humans managing AI staff.
“If that’s the case, we need a robust system to manage them, with structured processes for onboarding, coordination, and oversight of these digital workers,” he noted.
Last year, the pair launched Reload, an AI workforce management platform. On Thursday, the company unveiled its first product, Epic, and announced a $2.275 million funding round led by Anthemis, with participation from Zeal Capital Partners, Plug and Play, Cohen Circle, Blueprint, and Axiom.
Reload enables organizations to oversee AI agents across various teams and departments. Companies can integrate agents regardless of their origin—whether built in-house or by third parties—assign roles and permissions, and monitor their activities. “Reload serves as the system of record for AI employees, offering visibility, coordination, and oversight as agents operate across different functions,” said Asare, Reload’s CEO.
Currently, he noted, teams often use multiple agents simultaneously for tasks like coding, debugging, and refactoring. The issue is that these agents typically focus only on immediate prompts and lack long-term memory regarding the product’s overall purpose or their specific role. In essence, they operate with only short-term memory.
Over time, agents may lose context, or the system may drift from its original intent. This is why Reload is launching Epic. Built on the Reload platform, Epic acts as an architect alongside other coding agents, continuously defining product requirements and constraints, and reminding agents of their goals to ensure system consistency as it evolves.
Techcrunch eventTechCrunch Founder Summit 2026: Tickets Live
On June 23 in Boston, more than 1,100 founders gather at TechCrunch Founder Summit 2026 for a full day dedicated to growth, execution, and real-world scaling. Learn from industry-shaping founders and investors. Connect with peers facing similar challenges. Leave with actionable tactics you can implement immediately
Save up to $300 on your pass or save up to 30% with group tickets for teams of four or more.
TechCrunch Founder Summit: Tickets Live
On June 23 in Boston, more than 1,100 founders gather at TechCrunch Founder Summit 2026 for a full day dedicated to growth, execution, and real-world scaling. Learn from industry-shaping founders and investors. Connect with peers facing similar challenges. Leave with actionable tactics you can implement immediately
Save up to $300 on your pass or save up to 30% with group tickets for teams of four or more.
Boston, MA|June 23, 2026REGISTER NOW“In software development, coding agents can generate vast amounts of code, but they fail to preserve a shared understanding of the system over time,” Asare said. “Epic complements these agents by establishing the system upfront and maintaining shared context as it evolves. It doesn’t replace coding agents; it enhances their effectiveness.”
Epic is designed to integrate seamlessly into the coding environments developers already use. It can be installed as an extension in AI-assisted editors like Cursor and Windsurf, running alongside other agents within these tools.
“When a team begins a project, Epic helps generate core system artifacts such as product requirements, data models, API specifications, tech stack decisions, diagrams, and structured task breakdowns,” Asare explained, noting that these form the foundation upon which coding agents build.
“As development progresses, Epic maintains a structured memory of decisions, code changes, and patterns,” he continued. “If you switch coding agents, your structure and memory move with you. If multiple engineers use different agents on the same project, everyone builds against a single source of truth.”
Asare and Das previously co-founded a company that was acquired, making this their second venture together.
The AI infrastructure space is highly competitive. Competitors include LongChain, which assists with AI agent deployment and memory management, and CrewAI, which helps enterprises manage their AI agents.
Das stated that Epic differs 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, the company’s CTO. “That’s the layer we’re focused on.”
The new funding will support hiring and product development, specifically expanding the infrastructure needed to support a growing number of AI agents. “We’re building for the next era of work,” Asare said.
This article was updated to include other investors in the round.
Vertu asks executives to pay $6,880 for an AI agent and reveals its actual performance
Artificial intelligence has emerged as the smartphone industry’s newest frontier, with manufacturers scrambling to integrate AI-driven features to capture mainstream audiences. Vertu, however, is charting a distinct course. The British luxury handset
General Intuition targets $300M raise at $2B valuation
General Intuition, the New York-based startup developing a foundation model that trains AI agents to navigate space and time, is in discussions to raise roughly $300 million, sources familiar with the matter told TechCrunch.The funding round comes ei
India's MoEngage bets on millions of AI agents for marketing future
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