Tinker

Tines is a software company that provides a secure, governed workflow automation platform for IT, security, and other teams. It supports building and operating AI agents, applications, and automated workflows, with visibility, access control, and administrative governance for maintaining control over automated processes.

ToolJet is an open-source low-code platform for building and deploying internal tools, dashboards, business applications, workflows, and AI agents. Its visual builder uses drag-and-drop components and supports multi-page apps, collaborative editing, JavaScript and Python logic, a built-in no-code database, and connections to databases, APIs, cloud storage, SaaS applications, and other data sources. The community edition can be self-hosted with Docker, Kubernetes, or major cloud providers, while ToolJet AI adds natural-language app generation, AI-assisted query building and debugging, and an agent builder. The project also provides access control, encrypted data handling, plugin and connector extensibility through the ToolJet CLI, and hosted deployment through ToolJet Cloud.

T3 Code is an open-source agent-harness control surface for coding agents running on a developer's computer. It provides iOS and Android mobile apps, a web app, and an Electron-based desktop app for controlling locally configured Codex, Claude Code, Cursor, Grok Build, and OpenCode agents while using the user's existing provider subscriptions. The project can be launched with `npx t3@latest`, which starts its backend and local web interface on the machine. It also distributes desktop builds for Windows, macOS, and Arch Linux, and supports remote access from a phone or another machine. The repository describes the project as early-stage and warns that bugs are expected.

DeepTutor is an open-source, self-hostable AI tutoring platform developed by HKUDS for lifelong personalized tutoring. It provides a web application and command-line interface for interactive learning, problem solving, quiz generation, deep research, visualization, and mastery practice, with persistent memory and learning state shared across knowledge bases, books, notebooks, tutor personas, and other activities. The platform supports multi-agent problem solving, retrieval-augmented learning with source-traced and page-level citations, math animations, interactive visualizations, and tutor bots built from personal study materials. Its knowledge sources include personal documents, EPUBs and books with annotations, GitHub repositories, web search, and connected libraries; documented retrieval and ingestion options include GraphRAG, PageIndex, LightRAG, linked knowledge bases, Obsidian, and configurable parsing and vector backends. DeepTutor also includes courses, research workflows, an ecosystem of MCP services and tool or capability plugins, and integrations with connected coding agents and other partners. It can run locally or through Docker.

Ratel is an in-process context-engineering platform for AI agents. It catalogs tools, skills, and persistent facts, then searches the catalog on each turn and progressively discloses only the capabilities relevant to the request instead of placing every tool schema and instruction in the context window. Its retrieval supports BM25, semantic, and hybrid ranking without requiring a vector database. The project includes a Rust core, TypeScript and Python SDKs, an MCP server, and a CLI. Tools can be registered directly or ingested from an MCP server; skills can associate instructions with tools, while registered facts are re-injected when they are no longer fresh in the conversation. The repository describes the system as reducing token usage and mitigating tool overload.