A judgment needs evidence.
Evidence → specialist perspectives → audit → report.
Parallel perspectives, an audit, and a bounded correction step make the reasoning available for review.
Conceptual company structure
The next workforce is software.
AgentBase builds and operates AI agent fleets for real business operations.
We run client workloads, build agent fleets inside companies, and prove new systems in two-week engagements.
Run · Build · ProveOne campaign brief, seven specialist roles. Social Seeding gives discovery, outreach, replies and reporting a shared context—with people reviewing the decisions.
Original V2 interface, rendered from the product source with empty example fields.
View the interface ↗Closed beta. The V2 walkthrough shows agent roles at different stages of implementation; people review outreach drafts before sending.
Start with a creator or brand clip. Find the product behind it, inspect the details, and keep a path back to the source. Kbeauty connects discovery to context.
A video-first storefront connects clips, their original sources and product information in one place.
The opportunity: change how people discover products, then build the operating tools around that experience.
Storefront browsing preview. Own checkout is not yet enabled.
Memex makes past agent sessions retrievable. When work gets stuck, Loop Breaker suggests a next action from a similar session—and opens the exact turn behind it.
Repeated build failure → retrieve a similar session → inspect the recorded next action. Interactive illustration using a synthetic Rust CI session.
Memex provides local memory for Claude Code and Codex through MCP and session hooks.
This is a synthetic session walkthrough, not a live retrieval run.
A useful agent leaves more than an answer. Our tools explore how to examine a judgment, make a choice visible, and carry that decision into the next piece of work.
Evidence → specialist perspectives → audit → report.
Parallel perspectives, an audit, and a bounded correction step make the reasoning available for review.
Explore visual directions → record the choice → hand off to the specification.
A Claude Code workflow carries a selected preview and its decision record into specifications, implementation and tests.
Selected work from our team, including projects begun before AgentBase LLC. These products and tools are building blocks for our ambition; they are not yet one autonomous company.
Our goal is to replace human operating labor with software organizations. From one assignment to connected departments, agents take on the work. People set the direction and remain accountable.
Conceptual task structure
Read the brief, use the relevant context, and return a result someone can inspect. Define the input, the allowed work, and what counts as done.
Illustrative assignment: research a creator against a campaign brief and return the evidence for their fit.
The building blocks behind the work: specialist roles, persistent memory, inspectable judgment, and execution.
Google Gemini OpenAI
Capabilities demonstrated across our products and tools.Start with a recurring operation, a process to change, or a system to build. Choose a working model below.
We operate recurring workloads with an agent fleet and clear decision points.
We embed an agent fleet in your company, with defined responsibilities and human oversight.
We turn a bounded problem into a working system in a two-week engagement.
Start with an example input, the decisions a person makes, and the output that counts as done.
Email us — both founders read every line.
Meet Theo, the outreach writer. Campaign facts become an email draft; a person decides whether it can be sent.