Search Results for "connect"
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Showing 44 open source projects for "connect"
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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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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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n8n
Free and source-available fair-code licensed workflow automation tool
...With a fair-code distribution model, n8n will always have visible source code, be available to self-host, and allow you to add your own custom functions, logic and apps. n8n's node-based approach makes it highly versatile, enabling you to connect anything to everything. n8n has 200+ different nodes to automate workflows. -
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Appsmith
Low code project to build admin panels, internal tools, and dashboards
...You can build anything from simple CRUD apps, admin panels, dashboards to custom business apps and complicated multi-step workflows. Build your UI with our drag and drop UI builder. Use 45+ pre-built, customizable widgets including tables, charts, lists, modals, forms, and more. Connect to your data with our connectors: databases (PostgresQL, MongoDB, Amazon S3, and many more), SaaS providers (like Google Sheets, Airtable, Twilio) or any GraphQL/REST API. Connect the data to the UI by configuring the components. Where needed, you can use the Javascript IDE to create more advanced features and data transformations - the sky is the limit! ... -
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ILLA Builder
Low-code platform allows you to build business apps
...By using ILLA's library of Components and Actions, developers can save massive amounts of time on building tools. Build tools through drag-and-drop components, customize your AI Agent, connect to your data sources, and make AI a smart tool tailored to your needs and data, making your work more intelligent. By dragging and dropping components, you can quickly build the UI of the apps and implement any functionality you desire. Connect to your own data sources, including MySQL, PostgreSQL, and other databases, REST APIs, GraphQL, etc. ... -
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Nanobrowser
Open-Source Chrome extension for AI-powered web automation
...Just install and use your own API keys, and you only pay what you use with your own API keys. Everything runs in your local browser. Your credentials stay with you, never shared with any cloud service. Connect to your preferred LLM providers with the freedom to choose different models for different agents. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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OpenWorker
AI that gets your everyday tasks done
...The agent breaks requested outcomes into steps and works across local files, the terminal, desktop resources, and connected applications. Users can bring API keys for multiple commercial or open-weight model providers, or run locally through Ollama. More than 25 integrations connect services such as GitHub, Slack, Jira, Notion, Gmail, Outlook, and Google Calendar. OpenWorker requests approval before consequential actions such as sending messages, changing events, or running commands. Scheduled automations and Slack-triggered sessions extend it to recurring and team-based workflows. -
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5ire
5ire is a cross-platform desktop AI assistant, MCP client
...MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools. -
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Hermes Desktop
Desktop Companion for Hermes Agent
Hermes Desktop is a native desktop application that simplifies the installation, configuration, and daily use of Hermes Agent, an AI assistant with advanced tool usage and self-improving capabilities. It provides an intuitive graphical interface that eliminates the need to manage Hermes through command-line tools. Users can connect to local or remote Hermes instances while accessing chat, memory management, skills, tools, profiles, and scheduling from a single workspace. The platform supports multiple AI providers, including OpenAI, Anthropic, Google Gemini, Grok, OpenRouter, and local model endpoints. Its real-time streaming chat interface includes markdown rendering, syntax highlighting, tool progress tracking, and token usage monitoring. ... -
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AG KIT
Antigravity-first agent engineering kit with rules, skills
...The toolkit provides intelligent routing across 20 role definitions and includes repeatable commands for planning, debugging, testing, deploying, and orchestration. MCP configuration guidance helps agents connect to external tools while preserving reviewable workspace settings. A native pre-tool safety gate blocks high-confidence destructive commands without interfering with normal project cleanup. Merge-aware updates preserve local changes, create backups, and support rollback. Built-in validation, doctor checks, regression tests, and reproducible manifests help teams maintain reliable agent configurations. -
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Activepieces
Open Source AI Automation
Activepieces is an open-source automation tool designed to build workflows that connect different apps and services without requiring extensive programming knowledge. It’s tailored for technical and non-technical users alike, enabling teams to automate repetitive tasks using a visual editor and a large library of pre-built connectors. Activepieces can be self-hosted or used via a cloud deployment, making it flexible for teams of all sizes. -
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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Agents-Flex
Agents-Flex is an elegant LLM Application Framework like LangChain
Agents-Flex includes a variety of network protocols for connecting LLMs, such as HTTP, SSE and WS. Its simple and flexible design allows developers to easily connect to various LLMs, including OpenAI, LLama, and other AI. Agents-Flex provides a rich set of development templates and Prompt Frameworks, including FEW-SHOT, CRISPE, BROKE, and ICIO. Developers can also customize their own unique prompt templates. Agents-Flex has a very flexible Function Calling component. It supports local method definitions, parsing, callbacks through LLMs, and executing local methods to obtain results. ... -
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aaif-goose
An open source, extensible AI agent that goes beyond code suggestions
...It is built for more than coding, supporting research, writing, automation, data analysis, workflows, and general task execution. The project provides a desktop app, command-line interface, and API, which gives users multiple ways to work with the agent. goose is designed to connect with tools and local context so it can help complete practical tasks instead of only answering chat prompts. It is useful for developers, analysts, writers, and technical users who want an extensible assistant that can operate inside their environment. Its main value is bringing a native, flexible, and open agent workflow to everyday computer-based work. -
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Paperclip
Open-source orchestration for zero-human companies
Paperclip is an open-source tool designed to help AI systems and developer tools access academic research papers through a standardized interface. The project implements a server based on the Model Context Protocol (MCP), a framework that allows large language models and AI agents to connect to external data sources and tools in a consistent way. By acting as a middleware layer, Paperclip aggregates multiple academic databases and exposes them through a single interface, allowing AI applications to search and retrieve scholarly papers without needing to integrate with each provider individually. The system supports repositories such as arXiv, OpenAlex, and the Open Science Framework, giving AI agents access to a large body of research literature. ... -
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Model Context Protocol (MCP)
Specification and documentation for the Model Context Protocol
Model Context Protocol is an open protocol that standardizes how LLM applications connect to external data sources, tools, and runtime context. It separates the concern of providing context from the model interaction itself, allowing AI applications to access resources through a common interface. The project includes the specification, documentation, SDKs, maintained servers, and community infrastructure around the protocol. -
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Anything Analyzer
AI Agent/IDE | All-in-one protocol analysis toolkit
...The tool supports fingerprint spoofing and behavioral simulation, allowing users to analyze how systems react under different conditions. It integrates AI-powered analysis to interpret captured data and provide insights into protocols and behaviors. The system is built to connect seamlessly with AI agents and development environments through MCP server integration. It is particularly useful for security research, debugging, and reverse engineering workflows. Overall, it transforms complex network inspection into an extensible and intelligent analysis platform. -
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kagent
Kubernetes native framework for building AI agents
...It supports multiple model providers through a dedicated configuration resource, allowing teams to switch providers or run mixed environments while keeping the agent spec stable. A major focus is tool integration via MCP: agents can connect to MCP servers for tool access, and kagent includes an MCP server with tools for common Kubernetes and platform engineering systems. -
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OpenClaw Studio
A clean web dashboard for OpenClaw
OpenClaw Studio is a web-based dashboard designed to manage and interact with OpenClaw agents through a centralized interface. It allows users to connect to an OpenClaw Gateway, monitor agents, and control workflows from a single location. The platform provides real-time chat capabilities, approval management, and job configuration tools for agent operations. Built with a control-plane architecture, it handles communication between the browser and the gateway through server-managed connections. ... -
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Agent Client Protocol (ACP)
A protocol for connecting any editor to any agent
Agent Client Protocol is an open protocol for standardizing communication between code editors and AI coding agents. It defines how an interactive editor can connect to an agent that reads, edits, and reasons about source code. The project is meant to reduce fragmentation between IDEs, terminal tools, and autonomous coding systems by creating a shared communication layer. Its goal is to let any compatible editor work with any compatible coding agent without every integration being custom-built. ... -
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49 Agents IDE
Open-source 2D IDE for managing AI agents in native CLIs
...Instead of relying on traditional tab-based workflows, it provides a spatial interface where terminals, editors, Git views, and monitoring tools coexist as movable panes, enabling users to manage complex multi-agent systems visually and intuitively. The platform is designed to work across multiple machines simultaneously, allowing agents running on different devices or servers to connect to a unified workspace without requiring SSH, which simplifies distributed development workflows. It supports real-time synchronization across devices, meaning users can monitor and control their agents from laptops, tablets, or phones with the same interface. -
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Letta Code
The memory-first coding agent
...Unlike traditional session-based coding tools, Letta Code attaches a long-lived agent to a working directory so that the agent accumulates memory about a project’s structure, preferences, and history, effectively acting as a collaborative partner rather than a stateless helper. Users can initialize and connect the agent to various models, including popular large language models, and issue commands, refactor code, or ask context-aware questions directly in the terminal, with memory retained across multiple interactions. -
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OpenAGI
When LLM Meets Domain Experts
OpenAGI is a package for AI agent creation designed to connect large language models with domain-specific tools and workflows in the AIOS (AI Operating System) ecosystem. It provides a structured Python framework, pyopenagi, for defining agents as modular units that encapsulate execution logic, configuration, and dependency metadata. Agents are organized in a well-defined folder structure that includes code (agent.py), configuration (config.json), and extra requirements (meta_requirements.txt), which makes them easy to package, share, and reuse. ... -
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Agent Learning Hub
A curated AI Agent learning roadmap
...It is especially useful for beginners and intermediate learners who want a structured entry point into the fast-moving agent ecosystem. The repository focuses on practical learning rather than only theory, helping readers connect concepts to real tools and implementations. Its main value is reducing the noise around AI agents by collecting useful material into one navigable reference. -
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Office Agents
Agent plugins for Microsoft Office but BYOK for any model and provider
...The system is built as a monorepo with multiple packages, including a core SDK for agent runtime, a React-based chat interface, and specialized add-ins tailored to each Office application. It supports a bring-your-own-key model, allowing users to connect to a wide range of AI providers, including OpenAI, Anthropic, and other compatible APIs. The framework also includes advanced capabilities such as a sandboxed execution environment, virtual file systems, and extensible skill modules that expand agent functionality. -
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cognee
Deterministic LLMs Outputs for AI Applications and AI Agents
...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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Sinas
Open-source platform for building AI agents and serverless automation
Sinas is an open-source platform for building AI agents and serverless automation with fine-grained access control. It provides a self-hosted backend where developers can configure agents, connect LLM providers, write Python functions, and trigger workflows through webhooks or schedules. The platform supports isolated container execution for functions, which helps separate automation logic from the rest of the system. It also includes reusable skills, state stores, document collections, database connections, and embeddable UI components. ... -
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Arcade AI
Arcade Tool Development Kit (TDK), Worker, Evals, and CLI
...Evaluation framework for testing tool performance. Test your MCP server's tools, resources, prompts, elicitation, and OAuth 2. MCPJam is compliant with the latest MCP specs. Connect to any MCP server. MCPJam inspector supports STDIO, SSE, and Streamable HTTP transports.