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This open-source project delivers a clean-room harness runtime inspired by Claude Code, rebuilt from scratch and now being rewritten in Rust for speed and memory safety. Instead of merely mirroring leaked artifacts, claw-code focuses on robust, production-ready harness engineering for serious AI agent experimentation.
The repository demonstrates how to wire large language model agents to external tools, orchestrate multi-step workflows, and manage long-running execution loops. Originally prototyped in Python under intense time pressure, the project now evolves into a high-performance Rust implementation designed for predictable behavior and safer concurrency.
Key capabilities include:
claw-code is ideal for researchers, harness engineers, and advanced AI practitioners who want to study, extend, and operationalize complex agent runtimes without relying on proprietary codebases.
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