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AI & Autonomous Systems

Infrastructure that lets agents find capabilities, act under clear rules and leave a verifiable record.

We work in three areas: agent infrastructure and orchestration, trust and governance for execution, and research into autonomous intelligence.

Possible actionsAuthorizationExecuted, signed, recorded

The domain

What autonomous systems need beyond intelligence.

An agent that acts on its own needs a way to reach capabilities, rules for what it may do, and a record of what it did.

AI agents now call tools, move data and trigger payments without a person approving each step. That makes the moment before an action, and the evidence after it, part of the engineering problem.

Our work covers three areas. Agent infrastructure and orchestration connects agents to tools and to other agents. Trust, governance and execution decides what may run and records what did. Autonomous intelligence research looks at what comes after.

Capabilities and status

Three complementary areas. Every capability carries the status its evidence supports.

Demonstratedtested capability or reproducible public demonstrationImplemented / documentedexists and is documented, current function not independently verifiedIn researchexperimental or exploratory workStatus to confirmnot enough evidence to classify

Agent Infrastructure & Orchestration

How agents reach tools, data services and other agents.

  • MCP tool servers

    A FeedOracle MCP server answered a live status call on 31 October 2026 and reported MCP and A2A support.

    DemonstratedFeedOracle MCPEvidence
  • A2A discovery

    ToolOracle publishes an A2A Agent Card (protocol 0.3.0) with a JSON-RPC endpoint and its skills. Checked on 31 October 2026.

    DemonstratedToolOracleEvidence
  • Capability routing

    Routes an agent’s intent to suitable MCP and A2A endpoints, using an intent classifier with a static fallback route. The first handshake is free and stateless.

    Implemented / documentedToolOracle
  • Human approval gates

    A person stays in the loop for regulated or irreversible actions.

    Implemented / documentedToolOracle
  • Coordinated multi-agent systems

    A2A interfaces exist. Coordination of several agents on one task is not yet documented.

    Status to confirm—
  • Autonomous workflows

    Multi-step work carried out end to end by agents is not yet documented as a capability.

    Status to confirm—

Trust, Governance & Execution

What may run, and proof of what did.

  • Pre-action authorization

    Decides PERMIT or DENY for one exact action under the current intent and policy, before anything runs.

    Implemented / documentedAgentNOMOS
  • Evidence checks

    Confirms that the invoked capability is real and that its evidence is current and validly signed.

    Implemented / documentedAgentNOMOS
  • Signed execution receipts

    Binds execution to what was authorized and signs a receipt (Ed25519), checked against a separate execution JWKS. On 31 October 2026 we verified the published reference receipt independently: its digest recomputes, its signature verifies, and a changed field makes the check fail.

    DemonstratedAgentNOMOSEvidence
  • Published verification keys

    feedoracle.io publishes a general JWKS (ES256K, ML-DSA-65) and a separate execution JWKS for AgentNOMOS receipts (Ed25519). Both checked on 31 October 2026.

    DemonstratedFeedOracleEvidence

Autonomous Intelligence Research

Research directions of the FeedOracle Research Center, not finished results.

  • Experimental AI

    New methods, explored before anything is built on them.

    In researchResearch Center
  • Autonomous systems research

    How autonomous systems decide, act and stay accountable.

    In researchResearch Center
  • Edge AI and IoT research

    Governance for devices that lose their connection: offline authorization, locally signed receipts and queued recovery. An evaluation-stage internal prototype (EDGE-01), not tested on physical hardware.

    In researchResearch CenterDetails
  • Intelligent automation

    Beyond intent classification for routing, there is no documented capability yet.

    Status to confirm—

Example: a governed agent action

One concrete example from Trust, Governance & Execution: the sequence AgentNOMOS documents for every governed action.

  1. Intent

    The agent states what it wants to do.

  2. Capability

    A matching capability is found, for example through ToolOracle routing.

    ToolOracle
  3. Evidence

    Current, source-bound evidence is attached to the decision.

    AgentNOMOS
  4. Authorization

    PERMIT or DENY for this exact action.

    AgentNOMOS
  5. Execution

    Only the authorized action runs.

    AgentNOMOS
  6. Signed receipt

    A signed record of what actually ran.

    AgentNOMOS
  7. Outcome

    The observed result, recorded separately and linked to the receipt.

    AgentNOMOS

Standards and building blocks

  • MCP
  • A2A and Agent Cards
  • x402 payments on Base
  • Ed25519 signatures
  • Published keys (JWKS)
  • llms.txt

Developments in this field

Independent developments that grew out of this field.

  • AgentNOMOS

    Governs AI agents before they act and proves what happened after. Verification is stateless and works offline, with a published verifier and reference bundles.

    • Verify
    • Authorize
    • Execute
    Implemented / documentedagentnomos.com
  • ToolOracle

    A capability router for autonomous agents. It routes intents to MCP and A2A endpoints, publishes an A2A Agent Card, and keeps human approval for regulated or irreversible actions.

    Implemented / documentedtooloracle.io

Connections to the other fields

Where AI and autonomous systems meet the other three fields.

  • Blockchain & Distributed Infrastructure

    Agents pay per call with x402 in USDC on Base. Some paid endpoints are live; further routes are staged. A secondary connection: AgentNOMOS does not depend on a blockchain to authorize.

    Implemented / documented
  • Data & Intelligence

    Authorization rests on current, source-bound evidence. ToolOracle connects agents to data services.

    Implemented / documented
  • Quantum & Scientific Computing

    Quantum feature maps for kernel methods: a compiled study whose documented IBM hardware run gave a negative result.

    In research

Relationship to the Research Center

This field feeds the FeedOracle Research Center with open questions about how agents decide and stay accountable. Two of the five research directions start here. Work in them stays research until a prototype exists, and nothing is called demonstrated without a reproducible test.

FeedOracle Research Center
  • Experimental AI
  • Autonomous systems research

Work with us

For developers who want to build on this field, and for teams who want to research with us.