There are 3 repositories under context-management topic.
JSON-driven multi-agent development framework with intelligent CLI orchestration (Gemini/Qwen/Codex), context-first architecture, and automated workflow execution
Surgical context engineering with a nice UI, Windows, Mac, Linux, BSD, anywhere where python & Qt run
Give Claude perfect recall - Redis-powered persistent memory for LLMs
A repository that provides a structured system for maintaining context and tracking changes in Cursor's AGENT mode conversations through template files, enabling better continuity and organization of AI interactions.
A discovery and compression tool for your Python codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project | Code structure visualization | LLM Context Window Efficiency | Static analysis for AI | Large Language Model tooling #LLM #AI #Python #CodeAnalysis #ContextWindow #DeveloperTools
Personal Context Technology for AI Personalization
A lightweight tool to optimize your Javascript / Typescript project for LLM context windows by using a knowledge graph | AI code understanding | LLM context enhancement | Code structure visualization | Static analysis for AI | Large Language Model tooling #LLM #AI #JavaScript #TypeScript #CodeAnalysis #ContextWindow #DeveloperTools
MCP server for persistent context management in AI coding assistants
LLM-optimized repo copy: visual tree w/ stats (loc/%) + smart filtering (+.gitignore) + LLM markdown output (hints) + clipboard copy + token saving exclusions + easy installers + custom flags (incl/excl/size/types) + prioritizes root .md + logical folder traversal (keeps context grouped) w/ file size sort + file/stdout opts + set as alias easily
A lightweight tool to optimize your C# project for LLM context windows by using a knowledge graph | Code structure visualization | Static analysis for AI | Large Language Model tooling | .NET ecosystem support #LLM #AI #CSharp #DotNet #CodeAnalysis #ContextWindow #DeveloperTools
🔄 AI memory that follows you everywhere. Context Sync syncs your AI context between Cursor, Claude Desktop, and VS Code automatically.
A discovery and compression tool for your Java codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project #LLM #AI #Java #CodeAnalysis #ContextWindow #DeveloperTools #StaticAnalysis #CodeVisualization
GoPilot is an intelligent automation library that enables natural language interaction with your Go functions. It automatically routes user queries to appropriate functions, manages parameter mapping, and manages execution flow - all through simple speech inputs.
🏛️ Memory System for AI Coding Tools - Never explain your codebase again. MCP server with perfect project isolation, 95.8% context accuracy, and the Four Pillars Framework.
Fully automated memory and context management for Claude Code using hooks - Zero friction, zero context loss
🚀 Browser-based tool for creating reusable sets of context for LLM. Improve response quality & time and reduce token usage. Privacy-first, works with any LLM (Claude, GPT-4, Gemini). Stop re-explaining your codebase to AI (and your team members).
AI-assisted software development with a predictable, repeatable CLI workflow.
Universal infinite memory layer for Developer AI assistants. One shared brain across Claude, Cursor, Windsurf & more. 100% local, built on MCP standard. Stop re-explaining context
Timeless principles and best practices for working with language models — tooling-agnostic, future-proof, and clear.
A high-performance Model Context Protocol server that transforms Claude Desktop into a memory-enabled AI assistant with persistent context, secure command execution, and intelligent workflow automation.
Automatically manages branch-specific CLAUDE.md files so Claude always has the right context for your current work. Switch branches seamlessly without losing your development context, notes, or current progress.
KSI Ξ Agent Improving Ecosystem. A graph-based orchestration system for evolving AI agents through collaborative improvement and meta-optimization
Transform stateless LLMs into context-aware AI agents with persistent, optimized memory
Token-efficient log file system - reduce AI coding assistant context bloat by 93%
AI agents can write code. But can they finish projects? Checkpoint contracts with built-in verification — so you review 200-line specs instead of 2,000-line PRs, catch problems before they become thousands of bad lines, and the next agent doesn't need to reverse-engineer what happened.
Template for AI-maintained documentation that gives agents an always up-to-date project context.
A MCP server built for developers enabling Git based context and project management. Think of it as a scrapbook for your projects that captures technical details, GitHub issues, PRs, code context, and the personal threads that shape a project's story.
Continuity for conversations that matter. ChatSeed is your AI Chat Management tool!
Hexel is an AI-native OS enabling autonomous decision-making and multi-agent collaboration across various deployments.
Personal Context Technology for AI Personalization MCP server
Next Edit Suggestion (NES) - A conceptual methodology for AI coding assistants that learn from editing patterns and predict the next logical edit using unified diff format and real-time streaming.
Official website for IOWarp - A Context Management Platform for AI agents in scientific computing and HPC.
Intelligent autonomous context cleanup system for Claude Code - Automatically manages prompt size through smart cleanup and memory migration