Unverified50% confidenceBenchmarkExact time
On "name the MR that implemented the decision," HandbookBrain was correct 18/18, RAG + git log only 4/18, and plain RAG 0/18.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/18/2026
First Seen
Valid until: 1/16/2027
Sources
Related Entities
Related Claims
UnverifiedIn an evaluation of 29 questions × 3 trials, HandbookBrain scored 87% overall, RAG + git log scored 66%, and plain RAG scored 59%.73% similarUnverifiedIn the 1M-token CorpusQA evaluation, standard RAG achieved an accuracy of 17.38%, while the Memory Agent approach using Gemini 2.5 Pro reached 44.95%.60% similarUnverifiedUnder conditions where the target language is explicitly specified in the prompt (L3 prompts), GLM-5.1 achieved a generation accuracy of 72.29%, while Llama-3.3 70B reached only 24.24%.59% similarUnverifiedOn the Rule Induction task, TwIL-LM3 scored 96.4 while gpt-oss-120b scored 65.2.58% similarUnverifiedThe Mindscend team's 26.2M-parameter GECToR-style edit annotator v1.5 achieves 0.799 on the F0.5 metric, with a 2.4% false-edit rate and a 0.0% protected-span loss rate.57% similar
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