IBCS and introspective behavior.
AIC-agents is a core repository in the AIC ecosystem, focusing on autonomous, accountable, and cooperative agents designed to operate across edge devices, local systems, and decentralized environments.
Unlike conventional AI agents optimized for scale and data centralization, AIC-agents emphasizes:
- Human-aligned autonomy
- Local-first and edge-native execution
- Explicit trust, rollback, and responsibility models
- Long-term survivability without dependency on centralized infrastructure
This repository is designed to be:
- Research-friendly (clear abstractions, inspectable behavior)
- Production-aware (security, failure handling, lifecycle management)
- Ethically grounded (human-in-the-loop, non-extractive design)
AIC-agents is not about maximizing capability at all costs. It is about:
- Bounded intelligence
- Contained autonomy
- Auditable decision-making
- Reversible actions
Every agent is treated as a participant in a system, not an opaque optimizer.
AIC-agents/
├── core/ # Agent lifecycle, identity, state
├── cognition/ # Reasoning, planning, introspection
├── trust/ # Trust evaluation, reputation, policy
├── execution/ # Action execution, sandboxing
├── rollback/ # Reversibility, damage control
├── communication/ # Agent-to-agent & agent-to-system protocols
├── simulation/ # Testing, adversarial & what-if scenarios
├── policies/ # Behavioral and ethical constraints
└── docs/ # Research notes & design rationale
Each folder is intentionally modular and can evolve independently.
- Initialization (Identity, Capability Declaration)
- Context Acquisition
- Reasoning & Constraint Evaluation
- Action Proposal
- Trust & Policy Validation
- Execution or Rejection
- Monitoring & Feedback
- Rollback / Adaptation (if required)
- AIC-edgeOS: provides execution substrate
- AIC-orchestration: coordinates multi-agent behavior
- AIC-research: formal models & academic grounding
- AIC-earth: societal and macro-level framing
AIC-agents can run standalone, but gains strength when composed.
This repository is under active research and architectural development. APIs, folder structures, and abstractions may evolve.
If you are looking to build uncontrolled, extractive, or opaque AI systems, this project is likely not for you.
If you are willing to build slowly, responsibly, and honestly — welcome.