AgentOps-AI / AgentOps-AI/agentops

Proposal: memory observability and evaluation for agent workflows

未关闭
#1,451 0 条评论 0 个 reaction 已指派 0 人 在 GitHub 查看
主要语言
Python
星标
5.8k
派生
619
PR 合并指标
30 天内没有已合并 PR

描述

Hi, I’m Vivek Gupta, Founder & CEO at [MemCode](https://memcode.in). AgentOps gives teams visibility into agent behavior, and durable memory introduces important signals beyond traces: what was written, what was retrieved, whether it was relevant, and whether it improved the run.

Would AgentOps consider an optional MemCode integration? MemCode could provide the memory layer while AgentOps captures memory read/write events, scope, latency, retrieval relevance, and downstream outcomes for debugging and evaluation.

I’d be glad to prepare a small instrumentation example or PR around the event hooks you recommend. The integration can remain optional and should preserve existing observability workflows. Is there a preferred technical discussion channel for proposing memory-specific events?

贡献指南

打开贡献指南

评估

这个 Issue 还没有评估数据。

把新 issue 发到你的邮箱

精选适合新手参与的 GitHub issue 摘要。