JSON-driven multi-agent development framework with intelligent CLI orchestration (Gemini/Qwen/Codex), context-first architecture, and automated workflow execution
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Updated
Nov 20, 2025 - Shell
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
Plug-and-play memory for LLMs in 3 lines of code. Add persistent, intelligent, human-like memory and recall to any model in minutes.
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
The genesis project for D-PC Messenger, focused on local context technology for AI personalization.
MCP server for persistent context management in AI coding assistants
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
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
🔄 The Memory Layer for AI Development .
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
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
IANA-registered format for AI Context (application/vnd.faf+yaml)
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
🚀 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).
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