🧩Agentes de IA para Backend

Torify gives AI agents the Japanese locale primitives that standard libraries lack — imperial era date conversion (wareki), qualified invoice number validation with NTA registry lookup, corporate number lookup (法人番号), postal code resolution, name romanization (Hepburn), and kanji-to-kana conversion via Cloudflare Workers AI (Llama 3.3 70B). 42 endpoints total. No authentication required for MCP. Free trial: 100 REST API calls/month with email signup. Pay-per-call $0.02/call via x402 USDC on Base, or $19/mo Pro subscription.

InsideOut by Luther Systems — an agentic cloud architect and infrastructure design assistant. Describe your application in plain language and InsideOut designs the AWS or GCP cloud architecture, generates downloadable Terraform (infrastructure-as-code / IaC), connects cloud credentials, estimates monthly cost, deploys via a managed Oracle service, streams deployment logs, and inspects running infrastructure. Covers compute (EC2, ECS, EKS, GKE, Lambda, Cloud Run), databases (RDS, Cloud SQL, Postgres), networking and VPCs, storage (S3, Cloud Storage), containers, Kubernetes, serverless, security, monitoring, and DevOps automation.

Cross-branch semantic conflict detection engine. Checks whether active git branches are compatible before merge. Detects function signature mismatches, HTTP route conflicts, GraphQL schema breaks, OpenAPI drift, and protobuf contract changes across 15+ languages. Deterministic AST analysis, not AI review. Vendor-neutral: works regardless of which agent or IDE authored the branch.

TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.

General-purpose AI designed for knowledge workers — creators, strategists, and operators — and individuals seeking AI systems they can truly control to help them get work done, with full flexibility to extend and deploy anywhere (VPC, on-prem, or cloud).

Dolt – Git for Data

📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics

Effortlessly compose, extend, and observe every service in real-time for the first time ever.

Fully autonomous AI Agents system capable of performing complex penetration testing tasks

Automation engine to build, test and ship any codebase. Runs locally, in CI, or directly in the cloud

MCP Toolbox for Databases is an open source MCP server for databases.

The all-in-one, open-source backend platform for agentic coding. InsForge gives your coding agent database, auth, storage, compute, hosting, and AI gateway to ship full-stack apps end-to-end.

The agent platform built on sync.

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Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems

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Open-source Visual programming for backend logic that integrates with existing codebases. Flyde bridges the gap between technical and non-technical team members. Product managers, designers, and backend developers can collaborate on the same visual flows.

Open-source desktop SQL workspace for PostgreSQL, MySQL/MariaDB, SQLite and 12+ more databases like DuckDB, ClickHouse, Redis and Firestore. Built-in MCP server for Claude, Cursor and Devin, SQL notebooks and visual EXPLAIN.

All-in-One Native Local Development Environment for Windows, macOS & Linux. Docker alternative for PHP, Node.js, Python and more. Faster alternative to XAMPP, Laragon, MAMP and Laravel Herd with databases, Cron Jobs and runtime management.

Zero-dependency, token-efficient database MCP server for Postgres, MySQL, SQL Server, MariaDB, SQLite.

The AI-native state store for agents. MySQL-compatible, embedded or server, hybrid vector + full-text search, COW sandboxes (FORK/MERGE).

An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages Google's Gemini 2.5 Flash and OpenAI's GPT-5.1 on the backend for inference.

When Philosophy meets AI

Database-Backed Durable Python Workflows

Agentic desktop GUI client for Elasticsearch, OpenSearch, DynamoDB, MongoDB & EasySearch. Natural language queries, visual management, and monitoring. Privacy-first. Open source.

The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.

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一个写接口文档的AI Agent。支持使用Vibe coding 的方式，编写接口文档，同时自带友好的文档查看工具与接口Mock工具

Universal AI Agent Frontend. Build your backend we handle the rest.

The practical implementation of Aspire using Microservices, AI-Agents

Open-source graph database superpowers for your existing Postgres data.

EVA is an AI-assisted penetration testing agent that enhances offensive security workflows by providing structured attack guidance, contextual analysis, and multi-backend AI integration.

Enterprise AI Capability Platform for Java/Spring Boot. Register business APIs as governed AI capabilities, compose Agents with GraphSpec, Runtime, MCP/A2A/Gateway, RunOps and Trace. 企业智能体开发框架-把 Java 企业系统中的接口、领域方法、知识、模型和流程，沉淀为可治理、可编排、可开放的 AI 能力资产。

C2S Agent is an lightweight AI Agent construction platform that provides configurable online Agents and MCP services, You can configure any HTTP request interface as an MCP tool. C2S Agent 是一个轻量级的AI Agent构建平台，提供在线可配置的Agent，MCP，您可以一个HTTP请求的接口配置成为一个MCP工具，Agent之间可以进行自交流。并提供了单端口多A2A服务，MCP服务的解决方案

Source-available, self-hosted platform for building AI agent flows - visual editor over a Django backend.

Autonomous AI agent that plays Minecraft on its own — a server-side Fabric mod (MC 1.21.3) where a DeepSeek / OpenAI-compatible LLM drives a real player to mine, build, farm, fight and survive from natural-language commands. The LLM plans; deterministic tasks execute.

File Storage & Sandbox Backends for Pydantic AI: console tools for file operations, Docker-isolated sandboxes for safe execution, and permission system with presets for access control. Enables secure multi-user handling and testing in agents via in-memory, local, or containerized storage.