#context-management (24 Repositories)
Ranked open-source repositories tagged with #context-management, scored by pull request acceptance likelihood and maintainer engagement velocity.
54.0%
35.6h
24 repositories tagged #context-management
infiniflow/ragflow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
angelnicolasc/graymatter
30 sec to give your AI agents persistent memory. Reduce 90% token consumption while also maintaining quality.
jigjoy-ai/mozaik
Mozaik is a TypeScript runtime for building and sharing AI agents.
mex-memory/mex
Team memory for engineers and their AI agents. Lives in your repo. Shared through Git.
datahub-project/datahub
The Context Platform for your Data and AI Stack
cortexkit/magic-context
Unbounded context. Memory that manages itself. One session, for life. The hippocampus for coding agents, part of CortexKit.
BYK/loreai
Your AI never starts over. Lore keeps sessions coherent for days and millions of tokens — no lossy summary that wipes your file paths and decisions — and turns every session into compounding memory across tools, providers, and (soon) your team. No context files. No workflow changes.
alivecontext/alive
Personal Context Manager for Claude Code. Your life in walnuts.
FrkAk/piyaz
The agentic workspace where people and agents work together in the loop.
huiliyi37/Tianshu-harness
天枢harness是一个的终端编程智能体，它要回答的核心问题是：模型何以稳定地交付——目标不漂移、完成有证据、验证有闭环，不说"应该修好了"。为此它在模型与真实世界之间建立一层认知执行环境（CVM），把目标、状态、证据、资源、权限与终止条件从对话历史中外部化，由运行时持续管理。同时对deepseek v4极度优化。
ChristopherKahler/base
AI builder operating system. Turn Claude Code from a per-session tool into a workspace that remembers, maintains itself, and never goes stale. BASE = Builder's Automated State Engine.
sheawinkler/ContextLattice
The local-first intelligence layer that gives AI agents durable continuity, explainable retrieval, portable context, and verified learning across harnesses.
jfrog/boost
Save tokens. Maximize context, Safely
lioensky/VCPToolBox
VCP 部署在 AI 模型 API 与前端应用之间，是面向AGI OS开发和探索的工业级基建示范项目。通过统一指令协议、多层级持久化记忆、分布式插件引擎及多 Agent 协作框架，将原本“无状态、无记忆、无工具调用能力”的大语言模型，彻底改造成拥有永久自我意识、物理世界操作权及群体协作智能的完整智能体系统。
knowns-dev/knowns
The memory layer for AI-native development - giving AI persistent understanding of your software projects.
shixinnt/codex-image-context-runtime
A Codex plugin and local MCP runtime for context-bounded image generation and inspection.
GuyMannDude/mnemo-cortex
Open-source cognitive coprocessor with active memory for AI agents — persistent recall, semantic search, overnight dreaming, verified facts, encrypted USB sync. MCP server; works with Claude, ChatGPT, and any local LLM. Built by one maker and his agents.
Storybloq/storybloq
Project memory and workflows for Claude Code and Codex. Keep stories, plans, handovers, and review evidence in your repo. Resume across sessions and follow progress in the Mac app.
egorfedorov/claude-context-optimizer
Claude Code plugin that tracks token usage, identifies wasted context, and saves 30-50% on API costs. Heatmaps, ROI reports, budget alerts, efficiency scores, git-aware suggestions — all local, zero config.
joseairosa/recall
Persistent cross-session memory for Claude & AI agents. Self-host on Redis/Valkey, or use the managed SaaS at recallmcp.com.
chipfighter/context-attachment-manager
Codex and Claude Code plugin (works in Claude Desktop): choose which past images go to the model with your next message. Unchecked images become placeholders, the conversation goes on, and requests stay small.
Ethan-YS/project-brain
One folder. Every session knows where you left off. — An open-source methodology for AI-assisted projects.
anshulforyou/grandma
A memory layer for Claude Code that learns as you work. Persistent, per-context memory as plain markdown in your own git repo. No server, no telemetry.
beilusaiying/always-accompany
Companionship, chat, coding, and work share one memory and context framework — the kind of AI you see in science fiction: it keeps you company, and it gets things done with you.(这是一个基于上下文和注意力机制做的一个多元化的agent项目)