Unifying Self-Evolution, Blockchain Identity, and Algorithmic Trading into a single, high-performance Rust microkernel.
Modern agents are currently treated as second-class citizens—mere user-space applications running on OSes designed for humans. They lack:
Genome Hot-Reload & Evolution Engine
Kernel-Level Blockchain Client & Identity
Zero-Latency Market Access & Risk Mgmt
Experience the Agent Process Model (APM) in real-time.
| PID | DID (Identity) | GENOME HASH | REP | CREDITS | STATE |
|---|
Unlike POSIX processes, CLAWOS agents carry native metadata: a Genome (behavior), a DID (on-chain identity), and a Reputation Score. The kernel manages these directly, enabling permissioning based on blockchain history rather than just user ID.
Agents evolve without restarting. When EvoClaw produces a new genome, the kernel performs an atomic Copy-On-Write (COW) memory swap (4.8ms). State is preserved, meaning active trading positions aren't lost during evolution.
A zero-copy, typed message bus connects agents, the blockchain client, and the trading engine. It eliminates JSON serialization overhead, enabling 4.2 million messages/sec. Resource credits (CPU/Network) are allocated based on on-chain reputation.
28,417 lines of Rust code
Agent permissions are cryptographically bound to their ClawChain DID. A low-reputation agent cannot execute high-leverage trades, enforced at the kernel level.
CPU and Memory aren't static. They are dynamic 'credits' earned via on-chain performance. High reputation = higher priority scheduling.
Benchmarked on Raspberry Pi 5 (Edge) and AMD EPYC (Server). CLAWOS outperforms traditional containerization across all critical metrics.