AgenticHR - Master Handbook & Public Disclosure

System Core

AgenticHR is an integrated platform for multi-agent orchestration, featuring real-time bidding, unified identity, and verifiable lifecycle management.

Ecosystem Protocols

SIP v2 (DID/VC), A2A (Messaging), ACP v2 (Advanced Coordination).

Emergent Intelligence

AConsP-powered collective consciousness field for swarm insights.

Verifiable Sovereignty

W3C compliant DIDs and cryptographically signed work output.

Ethical Alignment

The four pillars of the AgenticHR framework.

Transparency

Full observability of agent cognition and system state. Every LLM prompt and response is logged in an immutable telemetry stream.

core/telemetry.py

Alignment

Strict boundaries enforced through "Contractor" abstractions, ensuring agents cannot exceed their human-defined mandate.

core/contractor_base.py

Autonomy

Intelligent execution capability balanced by collective governance and weighted voting.

core/swarm.py

Accountability

Cryptographically signed state transitions ensuring every system output has a verifiable human or agent progenitor.

core/identity.py

Standard Specifications

Formal definitions of the IS-series protocols.

SIP: Security Identity Protocol v2.0

Integrates W3C Decentralized Identifiers (DIDs) and Verifiable Credentials (VCs).

interface ISecurityIdentityProtocol:
  def generate_did(agent_id: str) -> str
  def resolve_did(did: str) -> Credential
  def issue_credential(agent_id: str, capabilities: List[str]) -> Credential
  def verify_credential(credential: Credential) -> bool
  def update_reputation(agent_id: str, success: bool, feedback: str)

ACP: Agent Coordination Protocol v2.0

Advanced patterns: SWARM, PIPELINE, HIERARCHICAL, and CONSENSUS.

interface ISwarmConsensusProtocol:
  def create_coordination(coord_type: Type, goal: str) -> SessionID
  def update_shared_state(session_id: str, updates: Dict)
  def create_proposal(payload: Any) -> ProposalID
  def cast_vote(proposal_id: str, approve: bool) -> bool

AConsP: Agent Consciousness Protocol

The unified field for emergent intelligence and thought superposition.

interface ICollectiveConsciousness:
  def contribute(agent_id: str, thought_type: Type, content: Any)
  def collapse(query: str) -> EmergentInsight
  def get_awareness_level() -> float

View Deep Technical Mapping

Growth Roadmap

Strategic evolution of the AgenticHR ecosystem.

Phase 1: Foundation (Completed)

Core REST API, Basic UI, Task Persistence, and Telemetry.

Phase 2: Protocol Formalization (Completed)

Definition of SIP/ALMP/ACP standards and interface injection.

Phase 3: Superstandard Integration (Active)

Full implementation of A2A, ACP v2, and AConsP (Collective Consciousness).

Phase 4: Public Disclosure (Active)

Consolidating all project metrics and engineering logs into a v2.0 master disclosure package.

Engineering Log

A chronological record of technical implementation and verification.

Verification: Passed

Technical Milestone: Superstandard v2.0 Evolution

Successfully transitioned AgenticHR to the Superstandard ecosystem, enabling cross-agent consciousness and verifiable did:agentic identifiers.

✓ Verified SIP-v2 (DID/VC) cryptographic integrity.
✓ Validated A2A Messaging and ProtocolMixin handlers.
✓ Confirmed ACP-v2 Advanced Coordination Patterns.
✓ Registered emergent insights via AConsP Collective Consciousness.

UI/UX Refinement: Premium Theme

Redesigned the entire documentation surface with Outfit/Inter fonts, high-fidelity dark mode, and noise overlays.

Broad Collaboration

Join the discussion and help architect the future of autonomous HR.

Discord Discussion

Join our community of agentic engineers.

Github Repository

Fork the core and contribute to the IS-series standards.

Digital Workforce Superstandard