14-stage Fusion Pipeline for LLM token compression — reversible compression, AST-aware code analysis, intelligent content routing. Zero LLM inference cost. MIT licensed.
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Updated
Apr 1, 2026 - Python
14-stage Fusion Pipeline for LLM token compression — reversible compression, AST-aware code analysis, intelligent content routing. Zero LLM inference cost. MIT licensed.
High-performance code graph and intelligence engine, supports 256 languages, multi repositories, in-memory knowledge graph and exposes it via CLI, MCP Server, and API. Built for AI coding agents - expose only needed information, cutting token usage up to 50x. 100% local.
Give your Claude Code Agent Teams a memory. Auto-injects role-specific context into every new teammate — your team never starts blind again.
Context compiler for TypeScript/JavaScript AI agents. Automatically compiles agent state into optimized LLM payloads with history compression, tool pruning, multi-provider support, and more.
Code HUD uses Tree-sitter to show the shape of your codebase: signatures, types, and structure without the noise. Structural search, symbol-aware editing, and git diffs. Installs as a skill or agent for Claude Code, Cursor, Codex, Aider, and OpenClaw.
reShapr website
🧠 Claude Code plugin marketplace featuring Second Brain - an agentic workflow system with persistent memory and tribal knowledge. Transform Claude from goldfish to elephant with cross-session learning.
Helm Charts for installing reShapr components on Kubernetes
[Experiment] Achieve 30% to 60x token savings via the V3U protocol. Use a free/local Translator Agent to communicate with Executor Agents natively in V3U data (0-English). Read How_to_Start.md to begin.
reShapr Community repo
A TUI for scraping and inspecting Claude Code's context built with Bubbletea + Lipgloss
A system architecture proposal for infinite AI conversation continuity, solving the context window limit through a five-component memory framework: sliding hot window, conversation graph, state document, memory manager, and pre-fetch engine
Real-time context window monitoring for Claude Code users. Avoid the silent context ceiling with intelligent alerts, predictive warnings, and actionable optimization suggestions.
🤖 Streamline bookings and payments with our AI-powered chatbot, designed for customers and teams using advanced multi-agent architecture.
Stop burning AI session limits. One click compresses your AI conversations and continues it in a fresh session instantly.
MultiArch Utility that converts entire project directories into a single, context-optimized XML file for Large Language Models.
Turns your long Claude sessions into a clean, structured "handoff note" so any new chat picks up exactly where you left off — with full context, decision history, active threads, preferences, setups, and approved or rejected paths already preserved. For the initiated, think of it as the smarter sibling to /compact.
A chatbot with RBAC and Human-in-the-Loop used for booking purposes covering the research, plan formation, booking, payment. This is built for multiple users like - Booking customers, internal teams (finance, customer support etc..). Built with multi-agent two-layer supervised architecture in LangGraph powered by LLMs including openAI,Gemini, Ollam
Convert long Claude chat sessions into structured handoff notes to maintain context and save tokens when starting new conversations.
Field projection layer for MCP tools — let AI agents request only the fields they need, reducing context window usage by up to 95%
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