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Research domain 01

Agent Systems

From capable models to dependable systems that can act.

We study the architectures, protocols and operating conditions that allow AI Agents to plan, use tools, collaborate and recover safely across long-running tasks.

Research direction—not a product announcementBilingual · Source-linked · Evidence-labelled
Agent SystemsFUURAA conceptual visual

Open research questions

Questions that should remain visible while the field moves.

  1. 01

    How should agents divide work, negotiate shared state and verify one another’s results?

  2. 02

    Which interfaces, permissions and recovery mechanisms make autonomous action dependable?

  3. 03

    How should agent performance be evaluated in real workflows rather than isolated benchmarks?

Reference points

Public work informing this research direction.

These sources are independent references. Listing does not imply collaboration, approval or endorsement.

01NIST

AI Agent Standards Initiative

Interoperability, open protocols, security and agent identity.

Open canonical source ↗02Stanford HAI

AI Coding Agents Fail at Teamwork

Evidence that more agents do not automatically produce better outcomes.

Open canonical source ↗03Singapore IMDA

Model AI Governance Framework for Agentic AI

Practical boundaries, safeguards and human accountability.

Open canonical source ↗

Related publications

Evidence reviewed through the FUURAA research lens.

Live evidence radar

Recent signals connected to this domain.

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ObservedSubtleMemory research team · 4 June 2026

Long-term memory needs relation awareness

SubtleMemory tests whether agents distinguish complementary, nuanced and contradictory memories instead of retrieving isolated similar passages.

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ForecastOrganisation for Economic Co-operation and Development · 28 May 2026

AI reporting frameworks will converge

FUURAA forecasts mappings that let one well-structured evidence set support several national, sectoral and voluntary reporting systems.

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EmergingInfocomm Media Development Authority of Singapore · 20 May 2026

Continuous monitoring is part of agent safety

Agent behaviour can change with context, tools and external data, so pre-release testing cannot cover every operational condition.

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EmergingInfocomm Media Development Authority of Singapore · 20 May 2026

Audit trails will become default agent infrastructure

Reliable deployment requires records showing what an agent saw, decided, called and changed, especially for consequential tasks.

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ForecastInfocomm Media Development Authority of Singapore · 20 May 2026

Sector agent playbooks will supplement generic rules

FUURAA expects broad principles to be translated into sector-specific controls for health, finance, education and public services.

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ForecastStanford Institute for Human-Centered Artificial Intelligence · 20 May 2026

AI literacy will become lifelong infrastructure

FUURAA forecasts recurring learning for students, workers, managers and older adults as tools and social expectations keep changing.

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ObservedFigure · 8 May 2026

Robot teams can coordinate through observation

Figure demonstrates two humanoids completing a shared room-reset task without explicit message passing or a central planner.

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ForecastFigure · 8 May 2026

Implicit coordination still needs explicit safety protocols

Observation-based teamwork can be flexible, but shared spaces introduce uncertainty about intent, timing and collision risk.

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Keep the question open

Research advances when evidence, engineering and criticism can meet.

Researchers, engineers, universities and public institutions may propose sources, corrections or areas for structured review.

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