Description
FloofClaw is an open-source C11 runtime designed for AI agents, acting as a durable control plane that supports deterministic workflows, recovery, and extensions. It is engineered to be small and efficient, with a 560 KiB binary and a 137 ms isolated mock run. FloofClaw operates on the principle that the event log is the truth, ensuring that state is a materialized view and not a mystery. This allows runs to survive restarts, with results re-entering through durable events, and any run can be replayed.
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FloofClaw is not just another agent; it is the control plane that underpins agentic work, ensuring that tasks are deterministic where possible and intelligent where necessary. It is built to handle the durable aspects of AI work, focusing on what happened, what should happen next, and ensuring continued success beyond initial demonstrations. Every model call in FloofClaw leaves a receipt, with prompts, responses, metadata, token use, and decisions stored as numbered artifacts on disk.
The runtime is designed to be measured and accountable, compiling into a single native binary without the need for containers. FloofClaw's capabilities include durable events, reducers, recovery, scheduling, workers, providers, and extensions. It is open source under the Apache 2.0 license, allowing users to inspect the code and run the mock-backed path without an account. FloofClaw is ideal for developers looking for a reliable and efficient runtime for AI agents, providing a robust foundation for intelligent decision-making and durable operations.
- CategoryCoding & Development
- Pricing ModelOpen source
- DeploymentSelf-hosted
- PlatformsC11
FloofClaw's Core Features
Open-source C11 runtime
Durable control plane
Deterministic workflows
Recovery and scheduling
Event-driven architecture
Reducer-based state management
Extensions and providers
Accountability through event logs
Efficient binary size
Restart-safe operations
Getting Started with FloofClaw
Configure: Set up the runtime environment
Use: Deploy AI agents with FloofClaw
Optimise: Monitor and adjust workflows
Extend: Add custom providers and extensions
FloofClaw's Use Cases
- AI agent runtime
- Deterministic workflows
- Event-driven architecture
- Recovery and scheduling
- Extensions and providers
