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3,641 results · Page 15 of 102

qgis_mcp

AI developer platforms

QGISMCP is an integration project based on the Model Context Protocol (MCP), used to connect QGIS Desktop with Claude AI, enabling Claude to directly control and operate QGIS through natural language prompts. The project is built on BlenderMCP and uses sockets for two-way communication. Its main capabilities include: creating, loading, and saving QGIS projects; adding or removing vector/raster layers; executing processing algorithms from the Processing Toolbox; and running arbitrary Python code from Claude. The system consists of two parts: a QGIS plugin that establishes a socket server within QGIS, and a Python server that implements MCP and connects to the plugin. Before use, you need to install QGIS 3.X (only tested on 3.22), Python 3.10+, and the uv package manager, and follow the instructions to copy the plugin to the QGIS plugin directory, enable the plugin, and configure Claude Desktop's claude_desktop_config.json. After installation and startup, you can see the hammer icon and the tool list in Claude (such as ping, load_project, add_vector_layer, execute_processing, execute_code, etc.). Note: the ability to execute arbitrary Python code is very powerful and must be used with caution.

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Reflexio

AI developer platforms

Reflexio is a learning platform for AI agents, designed to let agents learn from user corrections, failed paths, and successful outcomes, so they improve their behavior over time and avoid repeating mistakes. It is not a traditional memory layer, but a behavior learning platform: agents publish actual interaction processes, Reflexio extracts reusable behavior rules, and these rules are read back on the next run, all without retraining the model. The platform supports wrapping existing LLM calls through a lightweight SDK, and can also be integrated via Python, REST, or CLI; the extracted signals include trigger conditions and feedback, and can be precisely injected into the relevant context to control token costs. Every learning can be viewed and reviewed, and can be approved, set to pending, or rejected, with rejected ones removed from retrieval. Official deployment options range from fully managed, bring-your-own model credentials, to BYOC/self-hosted, and learning data can be stored in the user's own database.

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Requstory

AI developer platforms

Requstory is an operating-model mapping product that helps operations teams sort out, review, and improve the way an organization works. Users can enter a company website address to generate an initial organizational map covering departments, processes, and customer journeys, and can browse and edit it for free; after logging in with a Google account, they can save or download the model. The product explicitly states that it does not use any AI calls; its extractor and interactive map are powered by JavaScript.

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ShipAI

AI developer platforms

ShipAI is a full-stack SaaS starter kit positioned as "built for AI agents." It provides production-grade baselines out of the box for authentication, billing, database, background jobs, observability, SEO, and AI workflows, and comes with complete source code and a commercial license. It packages 21 pre-integrated tools and includes three product interfaces: a marketing site, the core application, and documentation. Its tech stack covers Bun, Next.js 16, TypeScript 5.5, PostgreSQL 17, Drizzle ORM, Redis 7.4, Vercel AI SDK v6, Groq and OpenAI, Qdrant, Neo4j 5.26, Docker, MinIO/S3, BullMQ, Tailwind v4, and Shadcn UI. It can run locally with Docker Compose or be deployed to any container environment, with no mandatory managed services. The official website also states that it includes built-in Telegram bot integration, 11 modular AI processors, a deep research workflow, an admin back office, 60+ UI components, and a programmatic SEO foundation, along with AGENTS.md and SKILL.md conventions for Claude Code, Codex, OpenCode, and GitHub Copilot to help autonomous coding agents understand and extend the project.

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