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Flow Agent Layer

Role & Goals

Hosts autonomous agents, providing the primary interface for users/developers. Focuses on:

  • Explainability (SLRPA): Agents operate transparently.
  • Autonomy: Agents act independently based on goals and context.
  • Coordination: Agents collaborate effectively.
  • Modularity: Agent components are reusable.
  • Security: Agents operate within defined permissions.

Architecture

  • Built around the SLRPA (Sense, Learn, Reason, Predict, Act) lifecycle.
  • Integrates deeply with:
    • Knowledge Graph/MCP Layer (context, reasoning, model use)
    • Execution Layer (running DAGs)
    • Network Layer (Agent-to-Agent communication)
    • Storage Layer (CRDT-backed agent state)
    • Access & Auth Layer (Agent DIDs, VC enforcement)

SLRPA Lifecycle

Defines the core agent loop:

  1. Sense: Observe the environment (KG updates, messages, external events).
  2. Learn: Update internal models, beliefs, and the Knowledge Graph based on observations.
  3. Reason: Plan actions and make decisions using KG context, MCP-defined tools/models, and integrated solvers.
  4. Predict: Evaluate potential outcomes of planned actions, assess model confidence.
  5. Act: Execute actions (trigger DAGs, send messages, update KG state, interact with external systems).

Agent Types & Roles

Defines specialized agents that collaborate within the ecosystem, potentially including:

  • Planner Agents
  • Executor Agents
  • Sensor Agents
  • Monitor Agents
  • Coordinator Agents
  • User Proxy Agents

State Management

  • Agent state (context, beliefs, plans, goals) is stored in its local, CRDT-backed slice of the Knowledge Graph.
  • Ensures state is versioned, verifiable, and syncable with other authorized agents/users.

Agent Communication (A2A)

  • Uses secure, DID-authenticated protocols (built on the Network Layer).
  • Supports discovery, negotiation, task delegation, and knowledge sharing between agents.
  • VCs strictly gate all interactions.

Security & Identity

  • Each agent possesses a Decentralized Identifier (DID).
  • Manages cryptographic keys securely.
  • Operates based on granted VC capabilities.
  • Secure state storage and communication channels are enforced.

APIs & SDKs

Provides tools (likely TS, Python, Rust SDKs, CLI: flow agent) for:

  • Agent creation and configuration
  • Deployment and management
  • Monitoring and debugging
  • User-agent interaction and delegation