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Agent swarms that can work longer, with evidence.

RNDLabs is developing an autonomous agent-swarm app and stack for long-running tasks where auditability, isolation, and operator trust matter.

Long-running autonomous task execution

A core design pillar for safer autonomous agent operations in production-like environments.

Cryptographically secured audit trail logs

A core design pillar for safer autonomous agent operations in production-like environments.

MicroVM-secured code execution sandboxes

A core design pillar for safer autonomous agent operations in production-like environments.

Composable specialist agents for research, coding, operations, and analysis

A core design pillar for safer autonomous agent operations in production-like environments.

Architecture

A control plane for long-running agent work.

The planned stack separates operator intent, planning, specialist execution, sandboxed tools, and evidence capture so autonomous work can be inspected instead of treated as a black box.

Agent-Swarm architecture showing operator intent, planner, specialist agents, MicroVM execution, audit log, and review loop

Evidence-first autonomy

Every meaningful task step should leave a trace: who or what requested it, which agent acted, what tools were used, what changed, and what evidence supports the result.

The product direction is designed around replayable audit trails, MicroVM-secured code execution, model and tool policy checks, and human review gates for critical decisions.

Why this matters

Autonomous systems need more than task decomposition. They need a verifiable operating model.

Agent-Swarm is positioned around long-horizon autonomy: agents coordinating research, implementation, analysis, marketing, and operations over extended periods. The product direction includes cryptographically secured audit trail logs and MicroVM-secured sandboxes for safer execution of code and tools.

For basic SME needs, the same ideas can start smaller: document RAG, internal chatbots, workflow assistants, reporting automation, and controlled agent tasks. Those capabilities can later become lanes inside Agent-Swarm when a customer needs stronger auditability and autonomy.

Talk to RNDLabs about Agent-Swarm