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
Feb 15, 2026 - TypeScript
JSON-driven multi-agent development framework with intelligent CLI orchestration (Gemini/Qwen/Codex), context-first architecture, and automated workflow execution
Semantica 🧠 — A framework for building semantic layers, context graphs, and decision intelligence systems with explainability and provenance.
Working memory for Claude Code - persistent context and multi-instance coordination
A personal context store for AI agents and assistants—reuse your existing coding agent CLI (Codex/Claude/OpenCode) with built‑in Skills/tools and a desktop GUI to capture, search, and reuse project knowledge across agents and repos.
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 complete operating system for Claude that prevents context loss and makes multi-session work reliable
Persistent memory plugin for Claude Code. Tiered memory system with write gates, correction propagation, and slash commands.
The World's First Agentic IDE. Visual dashboard: live sessions, task management, code editor, terminal. Epic Swarm parallel workflows. Auto-proceed rules. Automation patterns. Beads + Agent Mail + 50 bash tools. Supervise 20+ agents from one UI.
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.
The context API for AI agents
Local persistent memory store for LLM applications including continue.dev, cursor, claude desktop, github copilot, codex, antigravity, etc.
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.
The memory layer for AI-native development — giving AI persistent understanding of your software projects.
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
A local AI client with Git‑style tree context. Branch conversations, compress long chats, and visually assemble per‑request context to avoid LLM “long-chat degradation.
iloom: a developer workflow system delivered as a CLI and a VS Code extension for structured AI-assisted development. The CLI is the system of record, running tasks in isolated workflows and persisting analysis, plans, and decisions to your issue tracker, while the VS Code extension exposes insights, assumptions, risks, and decisions in real time.
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