Search Results for "json-java"
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Showing 330 open source projects for "json-java"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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AgentScope Java
Agent-Oriented Programming for Building LLM Applications
AgentScope Java is an agent-oriented programming framework that enables Java developers to build intelligent, LLM-powered applications using a dynamic reasoning-acting (ReAct) paradigm. It provides a comprehensive toolkit for creating autonomous agents that can plan, execute, and adjust complex workflows, making decisions about which tools to invoke and how to solve multi-step problems. -
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Agent Development Kit (ADK)
Open-source, code-first Python toolkit for building, evaluating, etc.
...This is especially important in high-security applications where verifying that a device is genuine and uncompromised is critical. ADK Python helps developers verify hardware-backed keys, work with JSON Web Tokens (JWT), and integrate with Android’s Key Attestation infrastructure. -
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iFixAi
Independent Auditing of AI Agents
...The same engine can test hosted providers or a real agent endpoint and can use self-grading, an independent judge, or a multi-judge ensemble. Results are delivered as JSON, Markdown, and terminal scorecards for review or automation. Saved configuration supports repeatable local runs, onboarding, and CI workflows. -
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Hiring Agent
AI agent to evaluate and score resumes
...It reads a resume PDF and converts the content into Markdown-like text. It then uses a local or hosted language model to extract structured candidate information into sectioned JSON. The system can enrich that resume data with GitHub profile and repository signals when a profile is available. After the data is collected, it produces an explainable evaluation with category scores, supporting evidence, bonus points, and deductions. It can run locally with Ollama or use Google Gemini, which makes it flexible for teams that want either private local processing or hosted model access. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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GuJumpgate
A fully automatic GPT Plus registration browser extension
...The project is written primarily for users who need a structured browser-side workflow rather than scattered manual steps across extensions, scripts, and configuration files. It includes local helper components for generating and exporting session-related JSON data. GuJumpgate appears to be aimed at advanced technical users who understand browser profiles, proxy routing, and account workflow constraints. Its main value is packaging a complex browser automation process into a repeatable extension-driven setup. -
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CLI-Anything
Making ALL Software Agent-Native
...It integrates with multiple AI platforms such as Claude Code, OpenClaw, Codex, and GitHub Copilot CLI, enabling cross-platform compatibility and flexibility. CLI-Anything emphasizes structured outputs such as JSON to reduce parsing complexity and improve reliability in automation scenarios. -
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Ralph
Autonomous AI agent loop that runs until all PRD items are complete
...The workflow encourages teams to split features into small, verifiable stories that fit inside a single context window. It also supports PRD generation skills, PRD-to-JSON conversion, Claude Code marketplace installation, browser verification for UI stories, and automatic archiving of previous feature runs. -
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Browser Agent
AI Browser Agent is an advanced Browser AI tool
...The agent supports multi-step task execution, enabling it to perform sequences of actions across multiple pages while maintaining context. It also provides structured output formats such as JSON, HTML, Markdown, or screenshots, making it easy to integrate results into other systems or pipelines. Because it can interact with dynamic, JavaScript-heavy websites, it is suitable for modern web scraping and automation tasks. -
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Buzz
A hive mind communication platform
...YAML workflows can respond to messages, reactions, schedules, and webhooks while preserving execution traces. Buzz provides a Tauri desktop client, browser access, a JSON-oriented CLI, MCP support, and ACP integrations for popular coding agents. Teams can run their own relay and keep the workspace, history, automation, and repositories under their control. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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A2UI
A Protocol for Agent-Driven Interfaces
A2UI (Agent-to-User Interface) is an open-source protocol and set of libraries developed by Google to enable AI agents to generate rich, interactive user interfaces instead of relying solely on text-based responses. The project introduces a declarative JSON format that allows agents to describe the structure, components, and behavior of a user interface, which is then rendered by the client using its own native components. This approach separates UI intent from UI implementation, making it possible for the same agent-generated interface to be rendered across different platforms such as web, mobile, and desktop applications. ... -
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Unstract
No-code LLM Platform to launch APIs and ETL Pipelines
Unstract is a powerful open-source, no-code platform built to automate the extraction and structuring of unstructured documents using large language models and flexible workflows, enabling developers and data teams to turn messy files into organized JSON content without complex coding. It integrates a visual Prompt Studio environment where users can iteratively design extraction schemas, compare outputs from different models, and monitor costs and accuracy side by side, making it easier to refine prompts and extraction logic before deploying at scale. Unstract supports deploying structured extraction as REST API endpoints or embedding it into data engineering ETL pipelines, which allows it to plug directly into data warehouses, cloud storage, or downstream analytics systems. ... -
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Google Workspace CLI
Command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, etc.
...It dynamically generates its command structure using Google’s Discovery Service, allowing it to automatically support new API endpoints as they become available. The tool eliminates the need for manual REST API calls by providing structured commands and built-in help for each resource and method. It outputs structured JSON responses, making it easy for developers, scripts, and AI agents to process results programmatically. The CLI supports multiple authentication methods, including OAuth login, service accounts, and environment-based credentials for automated environments. With built-in agent skills and automation features, it enables developers and AI systems to manage and automate Google Workspace workflows efficiently. -
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Bolna
Conversational voice AI agents
Bolna is an end-to-end open-source platform for building conversational voice AI agents, enabling developers to create voice-first conversational assistants efficiently. -
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ZeroGPU Router
Cut inference costs without dumbing down your agent
...It is designed to reduce inference costs without replacing the main reasoning model used by the agent. The router exposes tools for tasks such as summarization, classification, PII redaction, entity extraction, JSON extraction, follow-up generation, and short chat. It works through MCP for OpenClaw and through a CLI plus plugin workflow for Claude Code. Each routed call can report useful metadata such as the selected model, latency, and estimated savings. Its main value is letting agents reserve expensive frontier models for complex reasoning while offloading routine language tasks to cheaper specialized routes. -
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Agentic Commerce Protocol (ACP)
Interaction model for connecting buyers to complete purchases
...It’s maintained by OpenAI and Stripe and licensed under Apache-2.0, with the goal of being easy to adopt alongside a merchant’s existing commerce stack rather than replacing it. The repository organizes the spec as human-readable RFCs plus machine-readable OpenAPI and JSON Schema definitions, along with worked examples and a changelog so integrators can track breaking changes. Practically, ACP defines three main pieces; a Product Feed for discovery, an Agentic Checkout API for stateful, in-conversation checkout, and a Delegated Payment flow so a merchant’s existing PSP securely handles payment credentials and settlement. ... -
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AbletonMCP
Ableton Live Model Context Protocol Integration
...It enables prompt-assisted music production, session editing, and complete track arrangement from natural-language instructions. The system combines a Python MCP server with an Ableton MIDI Remote Script that exchanges JSON commands through TCP sockets. It can inspect sessions, create MIDI or audio tracks, build clips, insert notes, trigger clips, and control playback. The integration can also search Ableton’s browser, load instruments and effects, change tempo, and construct sections such as intros, drops, breakdowns, and outros. It supports Claude Desktop and Cursor and requires Ableton Live 10 or newer, Python 3.8 or newer, and the uv package manager. ... -
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Claude SEO
Universal SEO skill for Claude Code
Claude SEO is an open-source Claude Code skill suite for running structured SEO analysis through AI-assisted workflows. It combines 25 sub-skills and 18 specialist agents across technical SEO, content quality, Schema.org markup, GEO and AEO, local SEO, e-commerce, international SEO, backlinks, semantic clustering, and Google API workflows. The system is designed to produce prioritized action plans instead of generic audit notes. Recommendations include first-principle observations,... -
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Kimchi
Terminal coding agent powered by Kimchi's multi-model orchestration
...The repository includes systems for subagents, task classification, model delegation, MCP integration, web search, web fetching, Language Server Protocol support, authentication, and interactive terminal workflows. It also supports ACP-style JSON-RPC integration for editor workflows and remote session multiplexing through its teleport mode. Kimchi includes benchmarking tools for smoke testing sessions, auditing completed work, and comparing model behavior across predefined tasks. It is useful for developers who want a powerful terminal-first coding agent with structured orchestration rather than a simple chat wrapper. -
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Skyvern
Automate browser-based workflows with LLMs and Computer Vision
...Skyvern understands how to solve CAPTCHAs to complete complicated workflows. Support for authenticating into user accounts, including support for 2FA/TOTP. Extract data from workflows in any schema of your choice including CSV or JSON. Automate procurement pipelines, breeze through government forms, and complete workflows in any language. -
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DeepSeek Engineer v2
A powerful coding assistant application
...It lets developers discuss code, request analysis, and perform project work through natural language. Version 2.0 focuses on native function calling instead of rigid structured JSON responses. The assistant can read files, read multiple files, create files, create multiple files, and edit specific snippets when needed. It includes safeguards such as path validation, directory traversal protection, file size limits, and binary file exclusion. Overall, it is designed for developers who want a conversational coding tool that can inspect, modify, and reason about project files from the command line. -
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cognee
Deterministic LLMs Outputs for AI Applications and AI Agents
...This self-optimizing process ensures ultra-relevant, personalized, and contextually aware LLM retrievals. Any kind of data works; unstructured text or raw media files, PDFs, tables, presentations, JSON files, and so many more. Add small or large files, or many files at once. We map out a knowledge graph from all the facts and relationships we extract from your data. Then, we establish graph topology and connect related knowledge clusters, enabling the LLM to "understand" the data. -
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grepai
Semantic Search & Call Graphs for AI Agents
grepai is a privacy-first, semantic code search CLI designed to replace traditional keyword-based search with meaning-aware queries, letting developers and code tools find relevant code by what it does rather than just text matches. It builds a semantic index of a project using vector embeddings, enabling natural language queries like “authentication logic” to return contextually relevant functions and modules even when naming differs dramatically, making code exploration far more intuitive.... -
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Live Agent Studio
Open source AI Agents hosted on the oTTomator Live Agent Studio
Live Agent Studio is a curated repository of open-source AI agents associated with the oTTomator Live Agent Studio platform, showcasing a variety of agent implementations that illustrate how autonomous and semi-autonomous tools can be constructed using modern AI frameworks. Each agent in the collection is designed for a specific use case — such as content summarization, task automation, travel planning, or RAG workflows — and is provided with the code or configuration needed to explore and... -
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Atmosphere
Real-time transport layer for Java AI agents
Atmosphere is a Java framework for building streaming AI agents on the JVM. It lets developers declare agent behavior with an @Agent annotation while the framework handles transport, streaming, tool calls, memory, reconnect behavior, authorization, and observability. A single agent can be exposed over WebSocket, Server-Sent Events, long polling, gRPC, and WebTransport over HTTP/3 depending on the modules included. -
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mcp-use
A solution to build and deploy MCP agents and applications
mcp-use is an open source development platform offering SDKs, cloud infrastructure, and a developer-friendly control plane for building, managing, and deploying AI agents that leverage the Model Context Protocol (MCP). It enables connection to multiple MCP servers, each exposing specific tool capabilities like browsing, file operations, or specialized integrations, through a unified MCPClient. Developers can create custom agents (via MCPAgent) that dynamically select the most appropriate...