campfirein/brv-bench
Benchmark suite for evaluating retrieval quality and latency of AI agent context systems
This tool helps AI application developers measure how well their AI agents retrieve context for conversations. You provide existing conversational datasets, and it evaluates the AI agent's ability to recall relevant information, measuring accuracy and speed. This is ideal for AI engineers, product managers, or researchers building and refining conversational AI applications.
Use this if you need to objectively assess the quality and performance of your AI agent's long-term conversational memory and context retrieval capabilities.
Not ideal if you are looking for a general-purpose AI agent development framework or a tool to build AI agents from scratch.
Stars
11
Forks
2
Language
Python
License
—
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/agents/campfirein/brv-bench"
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