Repository History
207 repositories tagged with TypeScript

TeamAI-CLI: Empowering Teams to Become AI Native with a Git-Based Foundation
TeamAI-CLI, developed by Tencent, is a powerful command-line interface aimed at making every team AI native. It offers a unified, Git-based platform for teams to collaborate, learn, and continuously improve with AI. This tool transforms individual AI capabilities into shared team assets, integrating AI agents, machines, and team members for enhanced efficiency.

LLM Wiki: Build a Self-Maintaining, Interlinked Knowledge Base with AI
LLM Wiki is a powerful cross-platform desktop application designed to transform your documents into an organized, interlinked knowledge base automatically. Unlike traditional RAG systems, it incrementally builds and maintains a persistent wiki from your sources, ensuring knowledge is compiled once and kept current. This innovative approach offers a dynamic and evolving personal knowledge management solution.

Maka: A High-Performance Agent Workspace for AI Tasks
Apache Maka (Incubating) is a high-performance agent workspace designed to maintain a complete, append-only record of all agent actions. It focuses on measurable performance, local-first operation, and robust recovery mechanisms. This project provides a unified execution authority for desktop, TUI, and CLI clients, ensuring consistent agent behavior across platforms.

OpenMausBot: Your Open-Source AI Bot Team in a Chat App
OpenMausBot is an open-source desktop application that provides an alternative to Grok Bot, allowing users to manage a team of AI agents within a chat interface. It emphasizes local-first operation, bringing your own agents, and providing each bot with its own virtual machine or access to your computer. This project enables powerful AI interactions with privacy and control at its core.

GitNexus: Zero-Server Code Intelligence Engine for AI Agents
GitNexus is a client-side knowledge graph creator that runs entirely in your browser, transforming GitHub repositories or ZIP files into interactive knowledge graphs. It features a built-in Graph RAG Agent, perfect for deep code exploration and enhancing AI agent reliability. This tool provides architectural context to AI, ensuring more accurate and efficient code analysis.

aport-spec: The Open Agent Passport (OAP) Specification for AI Agent Trust
The aport-spec repository introduces the Open Agent Passport (OAP) specification, a critical framework for establishing trust in AI agents. It defines a lightweight, cryptographically verifiable credential, enabling real-time, pre-action authorization for AI agents across various platforms. OAP provides the essential runtime trust layer for secure and scalable agentic commerce.

SandBase Harness: Local-First AI Agent Runtime with Sandboxed Sessions
SandBase Harness is a local-first, self-hosted runtime for AI agents, offering sandboxed sessions, memory, and credentials. This TypeScript-based project provides a robust infrastructure for managing and observing AI agents, ensuring auditability and secure execution on your own machine or infrastructure.

A3M Router: Biology-Inspired LLM Routing for Cost Savings and Performance
A3M Router is an open-source, biology-inspired LLM router designed to optimize costs and performance across over 80 providers. It leverages principles like swarm intelligence and neural plasticity to offer adaptive, resilient, and cost-effective AI routing. This tool helps users save significantly on AI costs by intelligently selecting the best model for each query.

Skill Recorder: Turn Screen Recordings into AI Agent Skills
Skill Recorder is a desktop application that captures your on-screen work sessions, including clicks and app switches. It leverages the GitHub Copilot CLI to analyze these recordings, reconstructing them into an intent and ordered steps. This process allows users to generate reusable AI agent skills or automations for platforms like Microsoft Scout, Copilot Cowork, or Copilot Studio.

Apache Maka: A High-Performance Agent Workspace for AI Tasks
Apache Maka is an incubating project from The Apache Software Foundation, offering a high-performance agent workspace designed to meticulously record all agent activities. It provides a local-first environment for AI agents, allowing users to bring their own models and ensuring transparent, measurable task completion. This project aims to set a new standard for agent reliability and accountability.
AI Engineer Coach: Optimize Your AI Coding Assistant Usage
The AI Engineer Coach is an open-source tool designed to help developers analyze and improve their interaction with AI coding assistants. It provides deep insights into usage patterns, identifies areas for improvement, and offers personalized coaching to enhance agentic engineering practices across various AI harnesses. This powerful tool empowers developers to optimize their AI-driven workflows and boost productivity.

GSD Pi: Autonomous Coding Agent for Spec-Driven Development
GSD Pi is a powerful, local-first coding agent designed for comprehensive project management, from planning to implementation and verification. It leverages meta-prompting, context engineering, and spec-driven development to enable AI agents to work autonomously for extended periods without losing sight of the overall project vision. This system integrates a terminal agent, project workflow tools, worktree-aware Git automation, and optional UI integrations, streamlining the entire development lifecycle.