Chain functions, generators, Node streams, and Web streams into a pipeline with backpressure support.
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Updated
May 31, 2026 - JavaScript
Chain functions, generators, Node streams, and Web streams into a pipeline with backpressure support.
MCP server with persistent memory + FTS5 search for Claude Code conversation history. Index your ~/.claude/projects/, expose 10 MCP tools, browse via web UI. MIT-licensed.
Understand Server-Sent Events (SSE), analyze its principle, and implement custom SSE.
🍑 Lightning-fast Claude Code conversation compressor. Eliminates "Context low" warnings without losing context.
🍣 A Rollup plugin which imports .jsonl (JSON Lines) files as JSON arrays.
Local-first Claude Code token usage dashboard for Windows — costs, heatmap, cache savings, and a pixel companion
Local Codex session manager for inspecting, cleaning, backing up, restoring, and editing JSONL history.
Turn local Codex and Claude Code history into portable reasoning handoffs for the next chat, agent, collaborator, or future self.
simple way to encode nested tree structures of JSON objects
Monitor en tiempo real del uso de tokens de Claude Code en la barra de estado de VSCode. Rastrea tokens de entrada/salida, uso de caché, ventana de contexto y coste estimado. Sin API key — lee archivos JSONL locales de ~/.claude/projects/
Training Generator is a cross-platform desktop app built with Electron and Node.js that converts documents (PDF, DOCX, DOC, RTF, TXT, MD, HTML) into structured AI training data. Using local Ollama models, it extracts instructions, Q&A pairs, and conversation data for machine learning, AI fine-tuning, and NLP workflows, while keeping all processing.
A beautiful web tool for visualizing JSONL files with syntax highlighting and multiple view modes
Export and import browser cookies securely using AES-GCM encryption for seamless session migration across devices without third-party servers.
Browse AI's conversation history and memory
Local-first proof-of-work timelines for agent apps
RunWhy: local flight recorder and time diagnosis for AI coding agents.
Visual debugging, tracing, and replay for agent workflows.
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