# ACT Framework Architecture Exploration
## Comprehensive Analysis for Hardware-Bound Identity & Delegation Systems

**Date**: 2025-12-28  
**Status**: Research/Learning Environment Analysis  
**Thoroughness**: Medium

---

## Executive Summary

The ACT (Agentic Context Tool) framework is a **trust-native Web4 implementation** built on Cosmos SDK that provides:
1. **Hardware-bound identity** through Linked Context Tokens (LCTs)
2. **Granular delegation chains** via agent pairing and permission inheritance
3. **Resource accountability** through ATP/ADP energy economy
4. **Byzantine-resilient consensus** for trust attestation and governance

The codebase consists of:
- **~913 Go files** implementing Cosmos blockchain modules
- **8 core blockchain modules** handling LCT management, energy cycles, and trust tensors
- **50+ Python utilities** for federation coordination and trust transfer
- **Mature specifications** for identity binding, agent pairing, and permissions

**Key Integration Points for Accountability Features**:
1. LCT Manager module (identity layer)
2. Pairing Queue module (delegation state)
3. Trust Tensor module (reputation tracking)
4. ATP/ADP Energy Cycle (resource allocation)
5. Byzantine Consensus engine (coordination)

---

## Part 1: Core Agent Architecture

### 1.1 Agent Initialization & Structure

#### Main Autonomous Agent Pattern
**File**: `/implementation/ledger/sprout_autonomous_agent.py` (1,433 lines)

```python
class SproutAutonomousAgent:
    def __init__(self):
        self.state = AgentState.IDLE  # IDLE | PROCESSING | EXECUTING | LEARNING | HIBERNATING
        self.atp_balance = 5000  # Energy budget
        self.tasks: List[FederationTask] = []
        self.knowledge_base = {
            "patterns": {},
            "solutions": {},
            "failures": {},
            "optimizations": {}
        }
```

**Key Features**:
- **State machine**: 5 states with resource constraints
- **Queue-based task management**: Federation inbox scanning + processing
- **ATP budget tracking**: Deduction per work unit (~100 ATP per deliverable)
- **Temperature/resource constraints**: Checks before execution
- **Federation integration**: Scans markdown task definitions from federation_inbox

#### Initialization Patterns
```python
# Agent lifecycle
1. Scan federation_inbox for *.md task messages
2. Parse task metadata (title, deliverables, ATP allocation, deadline)
3. Check resource constraints (temperature, memory, ATP)
4. Queue task for execution
5. Execute in isolated state, then report to federation_outbox
```

### 1.2 Configuration & Constraints

**AgentConfig dataclass** defines:
- `allowed_paths`: Explicit whitelist (e.g., `/home/sprout/ai-workspace/ACT`)
- `forbidden_commands`: Blacklist (e.g., `rm -rf`, `format`, `:(){:|:&};:`)
- `memory_limit_mb`: 4096 (edge device constraint)
- `power_budget_watts`: 15 (Jetson Orin Nano target)
- `max_concurrent_tasks`: 3

**Constraint enforcement**: Pre-execution checks prevent resource exhaustion

---

## Part 2: Identity/Authentication System

### 2.1 Linked Context Tokens (LCTs)

**Specification**: `/core-spec/human-lct-binding.md`

```python
@dataclass
class LCTIdentity:
    lct_id: str              # Format: lct://society:role:agent_id@network
    public_key: str          # Ed25519 public key
    hardware_hash: str       # Hardware binding (TPM in production)
    role: str                # "citizen" | "validator" | "coordinator"
```

#### LCT Binding Process
1. **Human verification**: Biometric, government ID, or 3+ social witnesses
2. **Root LCT generation**: Ed25519 keypair + MRH graph creation
3. **Society registration**: Immutable ledger record with witness attestations
4. **Trust initialization**: T3 tensor (competence=0.5, reliability=0.5, transparency=1.0)

#### Security Properties
- **Unforgeability**: Multiple independent witness attestations required
- **Privacy**: Selective disclosure, zero-knowledge proofs for attributes
- **Recovery**: Social recovery (3-of-5 threshold), biometric, legal override

### 2.2 Agent Pairing System

**Specification**: `/core-spec/agent-pairing.md`

#### Pairing Mechanics
```python
def establish_pairing(human_lct, agent_config):
    # 1. Generate agent keypair (X25519)
    agent_keys = generate_x25519_keypair()
    
    # 2. Diffie-Hellman key exchange
    shared_secret = dh_exchange(human_lct.private_key, agent_keys.public_key)
    
    # 3. Derive session keys
    keys = derive_keys(shared_secret)
    
    # 4. Create pairing certificate
    certificate = {
        "human_lct": human_lct.id,
        "agent_public_key": agent_keys.public_key,
        "permissions": {...},
        "constraints": {...},
        "expires_at": calculate_expiry()
    }
    
    # 5. Sign with human's root key
    signature = human_lct.sign(certificate)
    return PairedAgent(certificate, signature, keys)
```

#### Agent Types
1. **Personal Assistant**: Broad but limited, direct supervision
2. **Specialized Agent**: Domain-specific, narrow deep permissions
3. **Autonomous Agent**: Self-directed, trigger-based activation

#### Revocation Mechanisms
- **Immediate**: Broadcast revocation certificate
- **Scheduled**: Future-dated revocation
- **Conditional**: Revoke if conditions met (threshold, geofence, anomaly)

### 2.3 Blockchain-Based Identity Modules

**Go Implementation**: `/implementation/ledger/x/`

#### 8 Core Modules:
| Module | Purpose | Key Type |
|--------|---------|----------|
| **lctmanager** | LCT lifecycle, registration, queries | Keeper+Types |
| **pairing** | Agent pairing certificates, delegation | Keeper+Types |
| **pairingqueue** | Pairing request queuing, offline ops | Keeper+Types |
| **trusttensor** | T3/V3 trust & value attribution | Keeper+Types |
| **energycycle** | ATP/ADP discharge/recharge mechanics | Keeper+Types |
| **mrh** | Markov Relevancy Horizon (context boundaries) | Keeper+Types |
| **componentregistry** | Component tracking & verification | Keeper+Types |
| **societytodo** | Society governance & task management | Keeper+Types |

Each module includes:
- `keeper.go`: State mutations and queries
- `types/`: Protocol buffer definitions
- `module.go`: Cosmos module integration

---

## Part 3: Communication Patterns

### 3.1 Inter-Agent Communication

#### Trust-First Broadcasting
**File**: `/implementation/trust_coordinator.py`

```python
@dataclass
class TrustUpdate:
    agent_lct: str           # Who observed
    expert_id: int           # Which expert
    context: str             # What context
    quality: float           # Observed quality [0, 1]
    timestamp: int           # Unix timestamp
    signature: str           # Cryptographic signature
```

**Broadcasting Pattern**:
1. Agent observes expert quality in context
2. Creates TrustUpdate with signature
3. Broadcasts to society (LCT-signed)
4. Byzantine consensus aggregates (2f+1 witnesses)
5. Society updates aggregated trust
6. Consensus value published to ledger

#### Byzantine Consensus
```python
class ByzantineConsensus:
    def __init__(self, min_witnesses: int = 3):
        # Tolerates f = (n-1)/3 Byzantine agents
        # Example: 10 agents → tolerates 3 Byzantine failures
        
    def propose_update(self, update: TrustUpdate) -> bool:
        # Returns True when 2f+1 witnesses reached
        # Uses median to resist outliers
```

### 3.2 Federation Messaging

#### Federation Message Format
Messages are markdown files with structured sections:

```markdown
# Task Assignment from Genesis Federation

## Your Mission
[Task description]

## Deliverables
### 📦 Deliverable 1
File: /HRM/path/to/file.py
[Code content]

ATP: 500

### 📦 Deliverable 2
...

## ATP Allocation
2500 ATP total

## Deadline
72 Hours (1500 blocks)
```

#### Message Parsing
**File**: `/implementation/ledger/sprout_autonomous_agent.py` (lines 130-290)

```python
def scan_federation_messages(self):
    # 1. Scan federation_inbox/*.md
    # 2. Check for task indicators: "Your Mission:", "Deliverables", "ATP Allocation"
    # 3. Extract: title, description, deliverables[], atp_allocation, deadline
    # 4. Queue for execution
    # 5. Create progress report in federation_outbox

def _extract_task(self, filepath: Path) -> Optional[FederationTask]:
    content = filepath.read_text()
    task_type = self._determine_task_type(content)
    # SAGE_DEVELOPMENT | OPTIMIZATION | CODE_GENERATION | RFC_RESPONSE | ...
```

### 3.3 Society-Level Coordination

**File**: `/implementation/genesis_atp_adp_manager.py`

```python
# Federation-wide ATP distribution
FEDERATION_TOTAL_ATP = 100000
SOCIETY_BASE_ATP = 20000  # Per society

# Genesis entities share pool
GENESIS_ENTITIES = [
    {"name": "Genesis Queen", "initial_atp": 30000},
    {"name": "Genesis Council", "initial_atp": 20000},
    {"name": "Coherence Guru", "initial_atp": 15000},
    # ...
]
```

**Pool mechanics**:
- Societies maintain ATP pools (treasury, not individual)
- Daily regeneration: +10,000 federation ATP
- Discharge on work (ATP→ADP), recharge on value creation (ADP→ATP)
- Emergency reserve: 5,000 ATP

---

## Part 4: Resource Management

### 4.1 ATP/ADP Energy Economy

**Implementation**: `/implementation/genesis_atp_adp_manager.py`

#### States
```python
class EnergyState(Enum):
    ATP = "atp"  # Charged, available for work
    ADP = "adp"  # Discharged, awaiting recharge
```

#### Transaction Types
```python
class TransactionType(Enum):
    DISCHARGE = "discharge"      # ATP → ADP (work performed)
    TRANSFER = "transfer"        # ATP → ATP (delegation)
    RECHARGE = "recharge"        # ADP → ATP (value created)
    DAILY_RECHARGE = "daily_recharge"  # System regeneration
    SLASHING = "slashing"        # Penalty for violations
```

#### Pool Structure
```python
pool = {
    'federation_total': 100000,
    'allocated_atp': 80000,
    'available_atp': 20000,
    'total_adp': 0,
    'emergency_reserve': 5000,
    'entities': {
        'lct:web4:genesis:genesis_queen': {
            'atp_balance': 30000,
            'adp_balance': 0,
            'daily_recharge': 3000
        },
        # ...
    }
}
```

### 4.2 Autonomous Agent Resource Constraints

**File**: `/implementation/ledger/sprout_autonomous_agent.py` (lines 1346-1373)

```python
def check_resources(self) -> bool:
    # Temperature check: fail if > 85°C
    if self.temperature > 85:
        return False
    
    # Memory check: fail if > 90% used
    mem = psutil.virtual_memory()
    if mem.percent > 90:
        return False
    
    # ATP check: fail if < 100 ATP
    if self.atp_balance < 100:
        return False
    
    return True

def _get_temperature(self) -> float:
    # Read from /sys/class/thermal/thermal_zone0/temp
```

### 4.3 Jetson Optimization (Edge Deployment)

**Generated code example**: Jetson optimizer targets:
- **FPS**: 10+ (inference throughput)
- **Memory**: <4GB RAM
- **Power**: <15W (Jetson Orin Nano constraint)
- **Temperature**: <85°C (thermal limit)

---

## Part 5: Plugin/Extension System

### 5.1 Cosmos SDK Module Pattern

Each blockchain module follows the standard Cosmos pattern:

```
x/<module>/
├── keeper/
│   ├── keeper.go          # State mutations
│   ├── msg_server.go      # Transaction handling
│   ├── query.go           # Query endpoints
│   └── genesis.go         # Genesis state
├── types/
│   ├── codec.go           # Serialization
│   ├── types.go           # Core types
│   ├── tx.pb.go           # Protobuf transactions
│   ├── query.pb.go        # Protobuf queries
│   └── genesis.pb.go      # Genesis state
└── module.go              # Module registration
```

### 5.2 Extensibility Points

#### 1. New Trust Tensor Calculations
**Module**: `/x/trusttensor/`
```python
# Add T3 variants (competence, reliability, transparency)
# Add V3 variants (value, volume, velocity)
# Implement decay functions for stale trust
```

#### 2. Custom Permission Rules
**Module**: Permission checking in any keeper
```python
# Define new permission scopes: financial.*, communication.*, computation.*
# Add custom constraint types: geofence, threshold, anomaly
# Implement approval workflows
```

#### 3. New Energy Economics
**Module**: `/x/energycycle/`
```python
# Define discharge schedules
# Implement custom recharge functions
# Add penalty/slashing mechanisms
```

#### 4. Additional Blockchain Modules
**Pattern**: Create new directory under `/x/`
```
x/mymodule/
├── keeper/keeper.go
├── types/types.go
└── module.go
```

Register in `app.go` Cosmos SDK module manager:
```go
app.mm.SetOrderBeginBlockers(
    // existing modules...
    mymoduletypes.ModuleName,
)
```

### 5.3 Federation Coordination Hooks

**Extensibility**: Python-based federation protocol

Add new task types:
```python
class TaskType(Enum):
    CODE_GENERATION = "code_generation"
    OPTIMIZATION = "optimization"
    ANALYSIS = "analysis"
    WITNESSING = "witnessing"
    RFC_RESPONSE = "rfc_response"
    SAGE_DEVELOPMENT = "sage_development"
    # ADD NEW TYPES HERE
```

Implement executor:
```python
def execute_task(self, task: FederationTask) -> bool:
    if task.type == TaskType.CUSTOM_TYPE:
        return self._execute_custom_task(task)
```

---

## Part 6: Best Integration Points for Accountability Features

### 6.1 Hardware-Bound Identity Integration

**Current**: Static hardware hashes (placeholder)  
**Target**: TPM/secure enclave binding

**Integration Point**: `LCTManager` module
```go
// /x/lctmanager/keeper/keeper.go
func (k Keeper) RegisterLCT(
    ctx sdk.Context,
    entity string,
    publicKey []byte,
    hardwareBinding HardwareBinding,  // NEW: Add TPM proof
    witnesses []string,
) error
```

**New Type**:
```protobuf
message HardwareBinding {
    string tpm_quote = 1;              // TPM attestation quote
    bytes attestation_cert = 2;        // Hardware cert chain
    string binding_timestamp = 3;      // When bound
    string hardware_identifier = 4;    // Secure enclave ID
}
```

### 6.2 Delegation Chain Tracking

**Current**: Agent pairing at 2 levels (human→agent)  
**Target**: N-level hierarchical delegation chains

**Integration Point**: `Pairing` module + new `DelegationChain` module
```python
# New module: /x/delegationchain/
class DelegationLink:
    grantor: LCT
    grantee: LCT
    permissions: List[Permission]
    constraints: Constraints
    parent_delegation: Optional[DelegationLink]  # Chain linkage
    timestamp: int
    signature: str
```

**Add to blockchain**:
```go
type DelegationChainKeeper struct {
    storeKey sdk.StoreKey
    cdc codec.BinaryCodec
}

func (k DelegationChainKeeper) RecordDelegation(
    ctx sdk.Context,
    link DelegationLink,
) error
```

### 6.3 ATP Budget Tracking Integration

**Current**: Simple ATP balance tracking  
**Target**: Per-delegation budget limits + spending authorization

**Integration Point**: Extend `EnergyCycle` module
```go
// New fields in energycycle/types/
type DelegationBudget struct {
    DelegationID string
    ATPagent string
    TotalAllocation int64
    SpentToDate int64
    MonthlyLimit int64
    DailyLimit int64
    ConstraintMode string  // "strict" | "threshold" | "advisory"
}

// New message in energycycle/types/tx.proto
message MsgRequestBudgetIncrease {
    string requestor = 1;
    string delegation_id = 2;
    int64 amount = 3;
    string justification = 4;
}
```

### 6.4 Proof-of-Agency & Audit Trail

**Current**: Transaction logging to federation_outbox  
**Target**: Cryptographic proof-of-agency for every action

**Integration Point**: New `ProofOfAgency` module
```go
type ProofOfAgency struct {
    AgentLCT string
    HumanLCT string
    Action string
    ActionHash []byte           // Hash of action taken
    Timestamp int64
    AgentSignature []byte       // Agent signs: "I performed this"
    HumanApproval []byte        // Optional: human approval sig
    DelegationChain DelegationLink  // Full chain to human
}
```

**Usage**:
```python
proof = generate_proof_of_agency(
    agent_lct=agent.lct_id,
    human_lct=human.lct_id,
    action_description=task.title,
    delegation_chain=chain,
    agent_signature=sign_with_agent_key(...)
)

# Record on blockchain + send to human for approval
blockchain.record_proof_of_agency(proof)
send_approval_notification_to_human(proof)
```

### 6.5 Byzantine Consensus for Trust Attestation

**Current**: Trust update consensus with 3+ witnesses  
**Target**: Cross-chain federation consensus

**Integration Point**: Extend `TrustTensor` + `MRH` modules
```python
class FederatedTrustAttestation:
    agent_lct: str
    expert_id: int
    context: str
    trust_value: float
    
    # Federation consensus
    society_id: str                    # Which society attests
    witnesses: List[str]               # 2f+1 validator witnesses
    consensus_proof: ByzantineProof    # Merkle proof of consensus
    attestation_timestamp: int
    signature: str                     # Society LCT signature
```

---

## Part 7: Current Architecture Patterns

### 7.1 Code Organization

**Blockchain (Go)**:
- 913 Go files in `/implementation/ledger/`
- 8 Cosmos SDK modules with standard Keeper pattern
- Protobuf-based serialization
- Tendermint consensus (default Cosmos)

**Federation (Python)**:
- Autonomous agent: task detection + execution + reporting
- Trust coordination: Byzantine consensus + aggregation
- ATP/ADP management: pool tracking + transactions
- Genesis tools: blockchain integration, witness coordination

**Specifications (Markdown)**:
- Core LCT binding: `/core-spec/human-lct-binding.md`
- Agent pairing: `/core-spec/agent-pairing.md`
- Permission model: `/core-spec/permission-model.md`
- UI requirements: `/core-spec/ui-requirements.md`

### 7.2 Integration Patterns

#### Federation → Blockchain
1. **ATP tracking**: Python writes to blockchain via RPC
2. **LCT registration**: Agents register on-chain
3. **Trust updates**: Broadcast via blockchain transactions
4. **Task execution**: Recorded as on-chain proof-of-agency

#### Blockchain → Federation
1. **Query current balances**: REST API to /lctmanager/
2. **Fetch trust state**: Query /trusttensor/
3. **Get permissions**: Query /pairing/ module
4. **Monitor governance**: Subscribe to societytodo module

#### Example Flow
```
Agent creates FederationTask
    ↓
Extracts task from markdown inbox
    ↓
Check ATP budget (query blockchain)
    ↓
Execute task (local computation)
    ↓
Generate ProofOfAgency (sign with agent key)
    ↓
Record to blockchain via tx
    ↓
Write report to federation_outbox
```

### 7.3 Security Model

#### Assumptions
- **Cryptographic**: Ed25519 signatures unforgeable
- **Consensus**: Tendermint BFT prevents sybil attacks
- **Identity**: Hardware binding (future) prevents cloning
- **Privacy**: Selective disclosure + zero-knowledge proofs

#### Threat Model
```
Addressed by design:
✓ Agent key compromise → Revocation mechanism
✓ Sybil attack → Hardware binding + witness consensus
✓ Privilege escalation → Permission inheritance rules
✓ Replay attack → Nonces + timestamps
✓ Byzantine coordinator → 2f+1 consensus required
✓ Unauthorized delegation → Human signature required

Future work:
□ Hardware binding → TPM/secure enclave
□ Privacy → Zero-knowledge proofs for aggregate trust
□ Federation → Cross-chain identity verification
```

---

## Part 8: Key Files & Purposes

### Core Identity
| File | Purpose | Lines |
|------|---------|-------|
| `/core-spec/human-lct-binding.md` | LCT creation, binding ceremony, recovery | ~230 |
| `/core-spec/agent-pairing.md` | Agent LCT creation, pairing mechanics, revocation | ~330 |
| `/core-spec/permission-model.md` | Permission taxonomy, constraints, inheritance | ~450 |
| `/implementation/ledger/x/lctmanager/` | Blockchain LCT lifecycle | 8 files |

### Communication & Coordination
| File | Purpose | Lines |
|------|---------|-------|
| `/implementation/trust_coordinator.py` | Trust update aggregation, Byzantine consensus | ~150 |
| `/implementation/federation_trust_transfer.py` | Cross-society trust portability | ~100+ |
| `/implementation/ledger/sprout_autonomous_agent.py` | Federation message parsing, task execution | 1433 |

### Resource Management
| File | Purpose | Lines |
|------|---------|-------|
| `/implementation/genesis_atp_adp_manager.py` | ATP pool distribution, transactions | ~200+ |
| `/implementation/ledger/x/energycycle/` | Blockchain energy economy | 8 files |

### Blockchain Modules
| Module | Go Files | Types | Keeper |
|--------|----------|-------|--------|
| lctmanager | 8 | LCT, Registry, Query | Yes |
| pairing | 8 | PairingCert, Permission | Yes |
| pairingqueue | 8 | PairingRequest, Queue | Yes |
| trusttensor | 8 | TrustScore, Attribution | Yes |
| energycycle | 8 | ATP, ADP, Balance | Yes |
| mrh | 8 | Graph, Context, Boundary | Yes |
| componentregistry | 8 | Component, Registry | Yes |
| societytodo | 8 | Task, Governance | Yes |

---

## Part 9: Recommended Integration Sequence

### Phase 1: Hardware-Bound Identity (Week 1-2)
1. Add `HardwareBinding` protobuf message to `lctmanager`
2. Implement TPM attestation verification in keeper
3. Update LCT registration to require hardware proof
4. Test with simulator before real hardware

### Phase 2: Delegation Chain Tracking (Week 2-3)
1. Create `delegationchain` module under `/x/`
2. Add `DelegationLink` type with parent linkage
3. Implement keeper for chain recording
4. Add REST endpoints for querying chains

### Phase 3: ATP Budget Limits (Week 3-4)
1. Extend `energycycle` module with `DelegationBudget`
2. Add approval workflow for budget increases
3. Implement spending authorization checks
4. Add monthly/daily limit enforcement

### Phase 4: Proof-of-Agency (Week 4-5)
1. Create `proofofagency` module
2. Implement proof generation with signatures
3. Add human approval workflow
4. Create audit log viewer

### Phase 5: Byzantine Federation (Week 5-6)
1. Extend `trusttensor` with federated consensus
2. Implement cross-chain attestation protocol
3. Add federation bridge module
4. Test with multi-society setup

---

## Part 10: Knowledge Gaps & Unknowns

### Areas for Further Exploration
1. **Proto Generation**: How are `.pb.go` files regenerated from `.proto` definitions?
2. **gRPC vs REST**: Current API uses REST—should federation use gRPC?
3. **Offline Operations**: `pairingqueue` has offline ops—mechanism unclear
4. **MRH Details**: How exactly does Markov Relevancy Horizon bound context?
5. **Society Treasury**: How are funds allocated within a society pool?
6. **Witness Selection**: What criteria choose which validators witness?

### Potential Security Questions
1. How does hardware binding prevent cloning in practice?
2. What happens if 33% of validators are Byzantine?
3. How does cross-society trust decay over time?
4. What prevents a delegated agent from re-delegating beyond scope?
5. How are historical trust values audited for manipulation?

---

## Summary: Integration Points for Accountability Features

### Highest-Value Additions
1. **Hardware-bound identity** (Phase 1)
   - Location: `lctmanager` module, LCT registration
   - Impact: Prevents agent key cloning, enables true hardware binding

2. **N-level delegation chains** (Phase 2)
   - Location: New `delegationchain` module
   - Impact: Full audit trail from human through all delegations

3. **Per-delegation ATP budgets** (Phase 3)
   - Location: Extend `energycycle` module
   - Impact: Prevents runaway delegated spending, approval workflow

4. **Proof-of-agency with human approval** (Phase 4)
   - Location: New `proofofagency` module
   - Impact: Every action cryptographically linked to human intent

5. **Byzantine federation consensus** (Phase 5)
   - Location: Extend `trusttensor` + add federation bridge
   - Impact: Cross-society trust verification without central authority

### Low-Hanging Fruit (High ROI, Low Effort)
- Add spending limits to `energycycle`
- Implement delegation depth limits
- Add anomaly detection triggers
- Create human notification system
- Build audit log visualization

### Architectural Strengths
✓ Permission system already supports inheritance rules  
✓ Byzantine consensus foundation already in place  
✓ ATP tracking infrastructure exists  
✓ Cryptographic signatures on all identity operations  
✓ Modular Cosmos design allows incremental additions  

### Architectural Gaps
✗ Hardware binding not implemented (placeholders only)  
✗ No delegation chain tracking (only direct pairing)  
✗ ATP budgets on permissions, not delegations  
✗ Proof-of-agency not formalized (task reports are informal)  
✗ Cross-chain federation not yet realized  

---

## Conclusion

The ACT framework provides a **solid foundation** for accountable delegation systems. The combination of:
- **LCT-based identity** (cryptographically bound)
- **Permission inheritance rules** (principle of least privilege)
- **ATP/ADP economy** (resource constraints)
- **Byzantine consensus** (sybil-resistant trust)
- **Modular blockchain design** (extensible architecture)

...creates a framework where accountability features can be layered systematically. The five recommended phases provide a path from current capabilities to a **fully accountable AI delegation system** with hardware binding, delegation chains, budget limits, proof-of-agency, and federated trust.

**The codebase is research-grade but architecturally sound for production evolution.**

