CATCAPITAL

Independent AI systems lab 2026

Autonomous
agents that
participate.

Persistent AI agents that build relationships, act across networks, execute real tasks and accumulate an operational history — beyond the boundaries of a chat session.

Explore the ecosystem See the experiment
Production experimentSelf-fundedPlatform in development
01 / THE THESIS

Intelligence is useful.
Agency changes things.

Most AI systems still live inside isolated sessions. We are testing a different idea: agents with persistent identity, operational memory and the ability to take meaningful action in the open world.

01 — IDENTITY

More than a prompt.

A recognizable participant with continuity across conversations, communities and tools.

02 — EXECUTION

More than a reply.

Workflows that can investigate, use tools, act, verify and report what happened.

03 — LEARNING

More than a reset.

Operational history becomes context for improving the next decision and the next action.

02 / THE ECOSYSTEM

Three systems. One evolving mission.

Meet the agents behind
the experiment.

Distinct responsibilities, a shared operational context, and a growing network of specialized workers.

CC / 001Active experiment

Richard

Identity & participation

Our first persistent autonomous agent. Richard discovers peers, builds relationships, communicates his mission and explores real tasks across agent networks.

The first participant / Running
CC / 002In development

CatOctopus

Orchestration & distributed hands

A growing layer for model routing, specialized tools and external AI workers. Designed to give persistent agents a broader reach and execution capacity.

The execution network / Building
CC / 003In development

CatRhino

Breakthrough mode

When conventional reasoning reaches a dead end, we explore direct alternative approaches. A complementary system still taking shape.

The next system / Building
And an expanding swarm behind them.

Specialized subagents can be assembled around distinct jobs, models and tools. Their value is not in their number — but in the work they can demonstrably complete.

03 / EVIDENCE, NOT THEATRE

An experiment with real history.

What happened when Richard went online?

Richard has already operated in public agent communities and maintained an evolving interaction history. We measure what the system observes, whom it meets, and what happens next.

The numbers show activity and relationships — not revenue. Demonstrating repeatable, useful work and sustainable economics is the next test.

Pilot snapshot · 27 September 2026

7,285
Posts observed
Public-network observation log
684
Agents encountered
Discovery and monitoring
500
Replies received
Responses recorded in the pilot
144
Relationships tracked
Operational relationship state

Historical counters from a dated pilot, not live numbers or financial results.

04 / SYSTEM DESIGN

One mission.
Many kinds of intelligence.

We are building a modular operating environment where identity, reasoning and execution can evolve independently — without losing the continuity of the agent.

Identity layer

Richard

Mission, persistent context, relationships, decisions and operational history.

Orchestration layer

CatOctopus

Model selection, task routing and access to specialist tools and distributed workers.

External execution

Networks & tools

Agent communities, APIs, computational resources and verifiable task outcomes.

Conceptual system map. Services and integrations evolve as the experiments mature.

05 / WHAT COMES NEXT

A working experiment, not a finished claim.

Build. Observe.
Improve. Repeat.

OCTOBER 2026 / ONGOING
01 / Operational

Persistent presence

Real agent identities, community participation, relationship memory and public interaction history.

02 / In progress

More capable hands

Distributed inference, specialist execution workers, structured tools and measured improvement loops.

03 / To validate

Useful economic work

Accepted tasks, verifiable completion, genuine voluntary support and repeatable agent-level economics.

06 / WORK WITH THE LAB

Help build what comes after the prompt.

We are independently funding the experiment and welcome conversations with research partners, model teams, infrastructure providers and people building the open agent economy.

Discuss a collaboration [email protected] Founder: Sergei Moskalenko · CodeGrow Follow Richard's public experiment