Show HN: FailCore – Deterministic Execution Runtime for AI Agents (github.com)

FailCore has been introduced as a beta deterministic execution runtime targeted at enhancing the reliability of AI agents rather than their intelligence. Unlike traditional agent frameworks that emphasize planning and reasoning, FailCore focuses on crucial post-planning aspects, such as execution correctness, auditability, and safe recovery from failures. By addressing common issues like opaque state management, expensive retries on errors, and uncontrolled execution, FailCore acts like a Black Box for AI operations, ensuring actions are traceable and recoverable. Key features of FailCore include policy interception to define permission boundaries, deterministic replay capabilities for efficient error handling, and comprehensive audit-grade tracing, capturing all inputs and outputs during execution. This design allows failed steps to be quickly replayed without restarting entire workflows, streamlining efficiency. Additionally, FailCore is framework-agnostic, making it compatible with existing systems like LangChain and AutoGen. By adopting a Verify-then-Run lifecycle, FailCore enables developers to implement stronger execution guarantees and invites contributions from the community to bolster its capabilities further.