Relai-SDK – simulate → evaluate → optimize AI agents
What relai-sdk is an open-source toolkit for making AI agents reliable via a complete learning loop: simulate → evaluate → optimize. Why Agent runs are stochastic; tool-calls fail; hard to reproduce, measure, and fix at scale. It’s also hard to align behavior with goals across output quality/format, cost, and latency. We need a loop that integrates user feedback and LLM evaluators directly into the agent code (prompts, configs, models, graphs) without overfitting. How - Simulation: LLM personas, mocked MCP servers/tools, synthetic data; can condition on real traces - Evaluation:…
Relai-SDK – simulate → evaluate → optimize AI agents launched on October 27, 2025 with 5 votes and more than 75% of that year's launches.
What it does
A platform for building reliable AI agents. Contribute to relai-ai/relai-sdk development by creating an account on GitHub.
In the maker’s words, at launch
What relai-sdk is an open-source toolkit for making AI agents reliable via a complete learning loop: simulate → evaluate → optimize. Why Agent runs are stochastic; tool-calls fail; hard to reproduce, measure, and fix at scale. It’s also hard to align behavior with goals across output quality/format, cost, and…
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