repoGitLabTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
Sayyedhash888/memory-janitor-agent
The Memory Janitor Agent, built on the Google ADK 2.0 Workflow API, is an automated multi-agent pipeline designed to optimize LLM operations. It intercepts noisy chat logs and JSON execution traces to clean, compress, and secure them before they exhaust context windows or bloat API costs.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- PossiblePossibly related (embedding) · 55%TraceLab: Characterizing Coding Agent Workloads for LLM Serving →
- PossiblePossibly related (embedding) · 47%All the AWS best practices in one Claude Code / Codex skill, so your agent doesn't rely on stale memory or crawl docs every time →
- PossiblePossibly related (embedding) · 45%Google Cloud's Always-On Memory Agent Replaces RAG and Embeddings With Continuous LLM Consolidation on Gemini 3.1 Flash-Lite - MarkTechPost →
- PossiblePossibly related (embedding) · 54%PRO-LONG: Memory for LLM Agents - StartupHub.ai →
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newsAll the AWS best practices in one Claude Code / Codex skill, so your agent doesn't rely on stale memory or crawl docs every timenewsGoogle Cloud's Always-On Memory Agent Replaces RAG and Embeddings With Continuous LLM Consolidation on Gemini 3.1 Flash-Lite - MarkTechPostnewsPRO-LONG: Memory for LLM Agents - StartupHub.ai
Related across the graph
paperTraceLab: Characterizing Coding Agent Workloads for LLM ServingnewsPRO-LONG: Memory for LLM Agents - StartupHub.ainewsGoogle Cloud's Always-On Memory Agent Replaces RAG and Embeddings With Continuous LLM Consolidation on Gemini 3.1 Flash-Lite - MarkTechPostnewsAll the AWS best practices in one Claude Code / Codex skill, so your agent doesn't rely on stale memory or crawl docs every time