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该项目当前未满足“两个有效维度 + 两种数据源”的主榜门槛。

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可观测采用度缺失
动量当前有效 · 2026-09-12
0
关注度当前有效 · 2026-09-12
20
信号可信度 依据当前有数据的独立评分维度数量计算。
2/3 · 1 种数据源

方法论 v2.0 · 快照 2026-09-12 · 超过 2 天视为过期

项目介绍

ByteRover CLI (brv) gives AI coding agents persistent, structured memory. It lets developers curate project knowledge into a context tree, sync it to the cloud, and share it across tools and teammates.

Run brv in any project directory to start an interactive REPL powered by your choice of LLM. The agent understands your codebase through an agentic map, can read and write files, execute code, and store knowledge for future sessions.

📄 Read the paper for the full technical details.

Or download our self-hosted PDF version of the paper here.

All benchmarks are run using the production byterover-cli codebase in this repository - no separate research prototype.

We evaluate on two long-term…

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