Ultimate integrated development Solutions for Everyone

Discover all-in-one integrated development tools that adapt to your needs. Reach new heights of productivity with ease.

integrated development

  • Toolhouse enables developers to build AI agents and workflows with the best developer experience.
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    What is Toolhouse?
    Toolhouse is a developer platform designed to build and deploy AI agents and workflows without the hassle of boilerplate code. It comes with pre-built agentic frameworks like RAG, evals, API integrations, memory, cache, prompts, and tools, enabling developers to quickly build and ship functional AI products. With robust support for third-party app integrations, Toolhouse offers a seamless development and debugging experience, significantly accelerating the production lifecycle.
    Toolhouse Core Features
    • Pre-built agent frameworks
    • API integrations
    • Automated evals
    • Debugging tools
    • Agent Studio
    • SDK support in Python and TypeScript
    Toolhouse Pro & Cons

    The Cons

    Not open source, limiting customization for some developers
    No direct mobile or desktop application store presence
    Requires learning the platform and SDK for effective use
    Pricing details are general and specific tiers or costs are not fully detailed on the main site

    The Pros

    Pre-built agentic backend infrastructure including RAG, evals, memory, and storage
    Simplifies and accelerates AI agent development and deployment with API endpoints
    Supports integration with various third-party apps and services
    Automated evaluation and debugging features enhance agent quality and deployment reliability
    SDK available in popular languages (Python, TypeScript)
    Offers a generous free tier and scalable subscription plans
    Toolhouse Pricing
    Has free planYES
    Free trial details
    Pricing modelFreemium
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequencyMonthly

    Details of Pricing Plan

    Sandbox

    0 USD
    • 50 agent runs
    • Public projects
    • Unlimited agents

    Pro

    10 USD
    • 1,000 agent runs / month
    • Everything in Sandbox, plus:
    • Up to 1,000 credits / month
    • Private & Public Agents
    • Unlimited MCP Usage
    • Built-in RAG
    • Switch between powerful models

    Business

    850 USD
    • 100,000 agent runs
    • Everything in Pro, plus:
    • Custom models
    • Human-in-the-loop
    • Priority Support on Slack
    • Your name on our wall

    Enterprise

    0 USD
    • Custom pricing
    • Everything in Business, plus:
    • Dedicated support
    • Custom set up based on your needs
    • On-prem
    • Private data hosting
    • Compliance
    For the latest prices, please visit: https://toolhouse.ai
  • WebDB: An efficient, open-source database IDE for modern database management.
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    What is WebDB?
    WebDB is an open-source, efficient database Integrated Development Environment (IDE) that simplifies database management tasks. It supports a variety of databases including MySQL, PostgreSQL, and MongoDB among others. Key features include easy server connections, a modern Entity-Relationship Diagram (ERD) builder, powerful AI-assisted query editors, and NoSQL structure management. WebDB's robust design, developed using Node.js, Docker, and Angular, ensures that it can handle complex database operations with ease. This makes it an invaluable tool for developers looking to improve their workflow and database administrators who need a reliable and efficient IDE for managing databases.
  • Wumpus is an open-source framework that enables creation of Socratic LLM agents with integrated tool invocation and reasoning.
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    What is Wumpus LLM Agent?
    Wumpus LLM Agent is designed to simplify development of advanced Socratic AI agents by providing prebuilt orchestration utilities, structured prompting templates, and seamless tool integration. Users define agent personas, tool sets, and conversation flows, then leverage built-in chain-of-thought management for transparent reasoning. The framework handles context switching, error recovery, and memory storage, enabling multi-step decision processes. It includes a plugin interface for APIs, databases, and custom functions, allowing agents to browse the web, query knowledge bases, or execute code. With comprehensive logging and debugging, developers can trace each reasoning step, fine-tune agent behavior, and deploy on any platform that supports Python 3.7+.
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