actor-agent-frameworks

Goal

Implement, configure, and maintain robust Agent and Actor-based frameworks (such as LangGraph, Akka, or custom implementations).

Steps

1. Topology Definition: Define the nodes, edges, and state schema for the agent graph.
2. Actor Implementation: Define the explicit behaviors, inbox/message queues, and lifecycle of individual actors.
3. Integration: Connect the framework to persistent memory stores (e.g., SQLite, PostgreSQL) for state checkpoints.
4. Verification: Simulate actor failures and verify that the graph/supervisor recovers state correctly.

Security & Guardrails

1. Skill Security

• Sandbox Isolation: Ensure actors executing untrusted LLM output run in a sandboxed environment without implicit system access.
• State Poisoning Prevention: Validate all messages passed between actors against a strict schema (e.g., Pydantic).

2. System Integration Security

• Secure Persistence: Checkpoints written to the database must not serialize and log plaintext sensitive secrets (API keys).
• Dead-Letter Handling: Implement secure dead-letter queues for unhandled messages to prevent memory exhaustion.