A framework from the Terminal-Bench team for evaluating and optimizing AI agents and language models in container environments.
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Curated GitHub repositories related to evals, with AI summaries and key stats.
A framework from the Terminal-Bench team for evaluating and optimizing AI agents and language models in container environments.
Open-source, self-hosted AI observability platform for tracing, evaluating, and debugging LLM applications and agents.
A curated awesome list of resources, patterns, and templates for designing the scaffolding around AI agents, covering memory, MCP, permissions, evals and orchestration.