AGENT INFRA

Raise the ceiling for what agents can achieve.

Agent infrastructure, by our definition.

Agent infrastructure is the foundation that makes AI agents more practical, more powerful, and more reliableβ€”giving them the environment, memory, coordination, authority, and durability to take on larger, longer, and more complex work.

It is the connected layer beneath many agents and applications: the systems that let capabilities persist, cooperate, improve, and remain worthy of trust.

The eight capabilities that raise the ceiling.

These Areas reinforce one another. Progress in any one can make the whole agentic ecosystem more capable and dependable.

  1. Execution Environments & Sandboxing

    Safe, capable places for agents to work: sandboxes, browsers, containers, filesystems, process isolation, and resource controls.

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  2. Agent Communication & Coordination

    How agents discover one another, exchange context, delegate work, coordinate across boundaries, and resolve conflicts.

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  3. Memory, Data & Filesystems

    Durable context, working data, artifacts, and governed filesystems that let agents retain and share what matters.

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  4. Identity, Permissions & Trusted Tools

    Clear authority, scoped credentials, and dependable tool connections that give agents useful power with accountable boundaries.

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  5. Durable Workflows & Recovery

    State, checkpoints, retries, and recovery paths for work that lasts longer than a single session or failure.

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  6. Observability, Auditability & Provenance

    Traces, logs, evidence, and policy visibility that make agent behavior understandable, inspectable, and improvable.

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  7. Human Handoffs & Control

    Thoughtful approvals, escalation, intervention, and context transfer when people should guide the next move.

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  8. Evaluation & Operational Reliability

    Ways to test, measure, and improve agents for dependable performance, safe failure, recovery, and long-running operation.

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An Agent Communication Matrix.

Messages alone are not enough. Agents need shared conventions for context, authority, commitments, and outcomes across every important handoff.

Agent ↔ Agent
What must be clear

Identity, role, intent, context, commitments, and state.

What it unlocks

Legible delegation and dependable collaboration.

Agent ↔ Tool
What must be clear

Capability, schema, permission, side effect, and result.

What it unlocks

Useful power with safe, inspectable boundaries.

Agent ↔ Human
What must be clear

Goal, decision needed, evidence, approval, and outcome.

What it unlocks

Thoughtful handoffs and meaningful human control.

Agent ↔ Environment
What must be clear

Resources, lifecycle, working state, and failure conditions.

What it unlocks

Work that can continue, recover, and improve over time.

Better models need stronger foundations.

Model capability is only one part of what makes an agent useful. Without lasting context, safe authority, reliable coordination, and clear evidence of what happened, agents remain limited to short, fragile bursts of work.

Strong foundations turn isolated capability into sustained progress. They give teams the confidence to ask more of agentsβ€”and give agents the support to meet that higher bar.

Build the foundations agents will need next.

01

Reliability makes capability usable

A capability that works once in a demo is not enough. We value systems that are understandable, recoverable, and dependable over time.

02

Open work compounds

Projects, specifications, and field notes become more valuable when others can inspect, challenge, and extend them.

03

People remain in control

Agents should extend human intent with thoughtful boundaries, clear handoffs, and accountable authority.

Built for people who dream big about what agents can become.