ToplingDB is a cloud native LSM Key-Value Store with searchable compression algo and distributed compaction
compaction 开源项目推荐(424 个)
compaction 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 424 个仓库This is an implementation of RFC 6902 JSON Patch written in Java
Go library for protobuf compatible sstables, a skiplist, a recordio format and other database building blocks like a write-ahead log. Ships now with an embedded key-value store.
FirstCoder is an open-source local coding agent that’s useful enough to run, small enough to read end to end, and structured enough to learn from. If you’re building your own agent, it’s a practical reference—not a black box.
"Work appears completed or recorded. Run /compact to save tokens."
边做边压 Live Compact. Compress the finished turn in place and keep the prefix cache.
Compaction runtime for Apache Iceberg.
Global Scalable Paleo Landscape Evolution Model
CliffCompaction — autocompaction for long-horizon coding agents
Session handoffs for Claude Code: skills that capture decisions, failed approaches and next steps, plus a Claude Code mod (/compact-handoff) that replaces the conversation with a validated handoff and keeps going. A better /compact.
A cache-aware attention and forgetting layer for high-frequency everyday AI chat.
Claude Code's compaction engine, as a drop-in DeepAgents middleware
Pacman: An Efficient Compaction Approach for Log-Structured Key-Value Store on Persistent Memory
Use OpenAI Responses API native compaction in OpenCode
Python wrapper of Sparrow, State-of-the-art Nesting for 2D irregular strip packing
Long-term memory for Claude Code. Indexes every session as SQLite+FTS5, exposes recall via MCP, and ships PreCompact/PostCompact hooks so nothing is ever lost.
Olake-Fusion: A iceberg table maintenance tool managed by Olake.
mongosh scripts and operator notes for MongoDB. Storage stats, compaction, defrag, and replica-set tooling, plus TLS, Kerberos, and LDAP command notes.
Optimize rocksdb compaction
Delta Lake Optimization Project: Hands‑on lab to explore partitioning, Z‑Ordering, compaction (manual & auto), Liquid Clustering, and VACUUM using a synthetic sales dataset in Databricks. Includes a step‑by‑step notebook to measure file scans, bytes read, and query performance for each optimization.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/compaction。
- 该话题在 GitHub 上共有 424 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 3355 Star,覆盖 7 种主要语言,数据更新于 2026-11-09。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。