Breakthrough Collective Intelligence with ICP-WASM & Spatial Consensus
┌───────────────────┐ ┌──────────────────────┐ │ Spatial Grid │──O(1)→│ Agent Interactions │ ├───────────────────┤ ├──────────────────────┤ │ BF16 Vectors │─50%→ │ Memory Footprint │ ├───────────────────┤ ├──────────────────────┤ │ KIP Protocol │─0.4s→ │ Consensus Building │ ├───────────────────┤ ├──────────────────────┤ │ VetKey Security │─0.1ms→│ Key Rotation │ ├───────────────────┤ ├──────────────────────┤ │ Memory Pool │─0→ │ Buffer Allocations │ └───────────────────┘ └──────────────────────┘ Test conditions: 2.5GHz CPU, 16GB RAM, Linux 6.5
| Operation | Crisp OS | Traditional | Improvement |
|---|---|---|---|
| Knowledge Validation | 8-15ms | 300-500ms | 32x faster |
| Agent Interactions | 100+/node | 20-50/node | 5x density |
| Claim Propagation | 15 hops/s | 2-3 hops/s | 7.5x faster |
| Consensus Building | 0.4s | 3.2s | 8x faster |
| Metric | Crisp OS | Standard | Improvement |
|---|---|---|---|
| Agent Memory | 1.8KB | 3.7KB | 2x better |
| Vector Ops (1K-dim) | 15ms | 34ms | 2.26x faster |
| Network Payload | 2.1KB | 4.8KB | 2.3x better |
| Energy Consumption | 0.05u/t | 0.12u/t | 2.4x better |
# Forward-secure agent identity vet_key = VetKey() packet.sign_with_vetkey(vet_key) # 0.8ms # Single-cycle key evolution vet_key.ratchet_forward() # 0.1ms # Verification verified = packet.verify_vet_signature() # 1.2ms| Operation | Crisp OS | Standard | Improvement |
|---|---|---|---|
| Signature Gen | 0.8ms | 2.1ms | 2.62x faster |
| Verification | 1.2ms | 3.5ms | 2.91x faster |
| Key Rotation | 0.1ms | 1.7ms | 17x faster |
Agent Workflow: 1. Position → Grid Cell Mapping 2. Discover → Local Interaction Zone 3. Create → Knowledge Claim 4. Vote → Distributed Consensus 5. Evolve → Collective Intelligence # Initialize pond environment pond = SmallPond("research-pond", size=1000) # Create AI agent class ScientistAgent(PondAgent): async def tick(self): if self.energy > 70: self.create_claim( content=f"Thermal anomaly at {self.position}", vector=BF16Vector(sensor_data) # Collaborate with nearby agents neighbors = pond.get_nearby_agents(self.position) for agent in neighbors: await agent.share_knowledge() # Add to pond pond.add_agent(ScientistAgent("dr-nova", energy=90)) pond.start(duration=60.0)$ crisp-benchmark --agents 100 --duration 30 [CRISP] Benchmark Results (100 agents, 30s): • Agent Updates : 15,400 ops/s • Knowledge Claims : 1,120 claims • Consensus Events : 98.7% < 500ms • Memory Allocs : 0 (pooled buffers) • Energy Efficiency: 0.04 units/tick ┌─────────────────┬───────────────────────────────┐ │ Industry │ Crisp OS Solution │ ├─────────────────┼───────────────────────────────┤ │ Swarm Robotics │ Real-time spatial coordination│ │ Decentralized │ Crowd-validated research │ │ Science │ │ │ ICP Oracles │ Tamper-proof knowledge graphs │ │ Edge AI │ Device-to-device intelligence │ │ Quantum Systems │ VetKey protected ecosystems │ └─────────────────┴───────────────────────────────┘ Version 1.0 (Now) Version 1.5 (ICP) Version 2.0 (4D Crystal) ┌──────────────────┐ ┌──────────────────┐ ┌──────────────────┐ │ 100 agents/node │ │ 500+ agents/node │ │ 10,000+ agents │ │ 400ms consensus │→→→→→│ 150ms consensus │→→→→│ <50ms consensus │ │ 1.8KB/agent │ │ 0.9KB/agent │ │ 0.2KB/agent │ │ VetKey │ │ ZK-VetKey │ │ Quantum-VetKey │ └──────────────────┘ └──────────────────┘ └──────────────────┘ • Crisp Architecture → docs/ARCHITECTURE.md • KIP Protocol → docs/KIP_PROTOCOL.md • Spatial Grid → docs/SPATIAL_GRID.md • VetKey Crypto → docs/VETKEY.md • ICP Integration → docs/ICP_INTEGRATION.md [GitHub Repo] · [Discord Community] · [ICP Network] Apache 2.0 - Open Source, Patent-Free
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Crisp OS: Where individual AIs become collective superintelligence.
The future isn't artificial - it's social.