Search Results for "context" - Page 7
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Showing 1920 open source projects for "context"
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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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Sol Advisor
Codex-native architect orchestration with Luna and Terra
...The primary Sol session owns requirements, architecture, specifications, verification, and final acceptance. Its default native workflow delegates implementation to a Terra agent and then requires a fresh Sol review in a separate context. An alternative Luna lane can create user-visible Codex application tasks when the user explicitly authorizes that mode. This separation is intended to reduce context contamination while preserving clear responsibility for quality and architectural decisions. The workflow can monitor implementation, inspect diffs, request corrections, coordinate dependent work, and control final approval. ... -
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Cody
Type less, code more: Cody is an AI code assistant
...Cody uses your code graph plus Code Search to autocomplete, explain, and edit your code with additional context. Cody supports the latest LLMs including Claude 3.5, GPT-4o, Gemini 1.5, and Mixtral-8x7B. You can also bring your own LLM key with Amazon Bedrock and Azure OpenAI. -
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Tolgee Platform
Developer & translator friendly web-based localization platform
...Add translations in the code, and translate them directly in the app with the Tolgee i18n tool. Clicking an element while holding the ALT/option key opens a dialog where you can simply modify your strings. No need to edit large .json/.po/.whatever file. In-context translating also works great in the production environment. Once. That's how many times you have to click to take a screenshot from your application with highlighted phrases to translate. Just ALT + click a string and hit the camera button. Boom, screenshot generated. In-context translating also works in the production environment of your deployed app. ... -
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MiMo Code
Where Models and Agents Co-Evolve
...The tool includes multiple agent modes, including a build mode for development, a plan mode for read-only analysis, and a compose mode for structured workflows. Its persistent memory system stores project notes, checkpoints, scratch notes, and task progress so the assistant can resume work with context. It also supports subagents, goal checking, voice input, MCP connections, and custom provider configuration. MiMo-Code is useful for developers who want an autonomous coding assistant that combines terminal workflows, long-running task management, and project-aware memory. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Playwright MCP
Playwright MCP server
An MCP server developed by Microsoft that offers browser automation capabilities using Playwright, enabling LLMs to interact with web pages through structured accessibility snapshots without relying on visual data. -
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HY-World 1.5
A Systematic Framework for Interactive World Modeling
...The platform targets use cases in digital entertainment, game worlds, training simulators, and interactive storytelling, where AI agents need to adapt to real-time user inputs and changes in environment state. It blends advanced reasoning with multimodal synthesis, enabling agents to describe scenes, generate context-appropriate responses, and contribute to narrative or gameplay flows. The underlying framework typically supports large-context state tracking across extended interactions, blending temporal and spatial multimodal signals. -
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Hyprnote
Local-first AI Notepad for Private Meetings
Hyprnote is an open-source, privacy-first AI notepad app designed for taking notes during meetings—transcribing audio (microphone and system) and generating context-rich summaries using on-device AI models like Whisper and HyprLLM, all without any data leaving your machine.(turn0search7, turn0search1). Listens to your meetings while you write. Crafts smart summaries based on your quick notes. Runs completely offline using open-source models like Whisper or HyprLLM. Use approved third-party APIs like Gemini, Claude, or Azure-hosted GPT. -
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Microsoft Work IQ
MCP Server and CLI for accessing Work IQ
Work IQ is Microsoft’s plugin marketplace and MCP server collection for connecting GitHub Copilot CLI and AI assistants to Microsoft 365 work data. It provides plugins, skills, tools, and MCP servers that let users query emails, meetings, documents, Teams messages, and productivity context through natural language. The repository includes a public-preview marketplace workflow for installing Work IQ plugins into Copilot CLI. It also supports standalone MCP server installation through npm or npx for use in compatible IDEs and agents. Because it accesses Microsoft 365 tenant data, administrator consent and appropriate permissions are required. ... -
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Fast MCP
A Ruby Implementation of the Model Context Protocol
Fast MCP is a lightweight framework designed to simplify the development and deployment of servers that implement the Model Context Protocol. The Model Context Protocol enables AI assistants and applications to connect with external tools, services, and data sources through a standardized interface. Fast-mcp provides developers with a streamlined toolkit for building MCP servers that expose application functionality to AI agents. The framework focuses on ease of use, allowing developers to quickly define tools, endpoints, and integrations that can be accessed through MCP-compatible clients. ... -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Open Claude Cowork
Open Source version of Claude Cowork built with Claude Code
...It offers a native Electron-based interface for macOS, Windows, and Linux that feels familiar and modern, supporting persistent, multi-session conversations that maintain context across multiple turns and workflows while you focus on higher-level goals rather than low-level prompts. With support for over 500 integrated tools—including Gmail, Slack, GitHub, Google Drive, and more via the Composio Tool Router—Open Claude Cowork lets agents execute complex tasks that span multiple platforms and APIs, effectively acting as a cross-service productivity layer. -
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Upsonic
The most reliable AI agent framework that supports MCP
...It enables the development of trusted agent workflows within organizations by incorporating advanced reliability features, such as verification layers and output evaluation systems. The framework supports the Model Context Protocol (MCP), facilitating integration with various tools and enhancing agent capabilities. -
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Template MCP Server
Template to quickly set up your own MCP server
The template-mcp-server is a TypeScript-based template designed to expedite the setup of Model Context Protocol (MCP) servers. It provides a basic server configuration with options for both standard input/output and HTTP transport using FastMCP. The template includes a structured framework for defining MCP tools, resources, and prompts, along with TypeScript configuration and development scripts. -
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MCP OpenAI
Chat with OpenAI models from Claude Desktop
The MCP OpenAI Server is a Model Context Protocol server that allows seamless interaction with OpenAI's models directly from applications like Claude Desktop. It simplifies the integration of OpenAI's language models into various workflows. -
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mcp-cli
Lighweight CLI to interact with MCP servers
mcp-cli is a lightweight, Bun-based command-line interface (CLI) tool that simplifies how developers discover, inspect, and interact with Model Context Protocol (MCP) servers from the terminal. The Model Context Protocol is an emerging open standard for connecting language models and external tools, and mcp-cli helps mitigate common pain points like context window bloat by dynamically discovering MCP servers and reducing token load during interactions. It’s designed to be fast and shell-friendly, compiling to a single standalone binary and producing machine-readable output (e.g., JSON) that plays well with other CLI tooling like jq and standard piping. mcp-cli supports both stdio and HTTP-based MCP servers, connection pooling with a lazy-spawn daemon to keep connections warm, and flexible tool filtering via easy configuration options. -
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rtk
CLI proxy that reduces LLM token consumption
...When AI assistants execute shell commands during software development tasks, the resulting terminal output often contains large amounts of repetitive or irrelevant information that can overwhelm the model’s context window. RTK intercepts these command outputs and compresses them into concise summaries before sending them to the language model. This process helps maintain important information while removing redundant data such as boilerplate logs, long directory listings, or repetitive test outputs. By minimizing the amount of noise sent to the AI model, the tool improves reasoning quality and allows longer development sessions within the same context window. ... -
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MCP Bridge
A middleware to provide an openAI compatible endpoint
MCP-Bridge serves as a middleware that connects the OpenAI API with MCP tools, allowing developers to utilize MCP functionalities through the OpenAI API interface. It provides endpoints compatible with OpenAI, facilitating seamless integration and enabling the use of MCP tools without requiring explicit MCP support in clients. -
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Supabase MCP Server
Query MCP enables end-to-end management of Supabase via chat interface
An open-source MCP server that enables comprehensive management of Supabase projects through natural language interactions, providing capabilities such as SQL execution, schema management, and API integration. -
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QodeAssist
QodeAssist is an AI-powered coding assistant plugin for Qt Creator
...The plugin supports both local and cloud-based language model providers, including Ollama, llama.cpp, OpenAI, Claude, and others, allowing developers to choose between privacy-focused local setups or more powerful remote models. It includes advanced context handling features such as file attachments, project-specific rules, and automatic synchronization with open files, which improves the relevance of AI responses. The system also enables AI tool calling, allowing the assistant to inspect project files, run searches, and access diagnostics to provide deeper assistance. -
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FlowLens MCP
Open-source MCP server that gives your coding agent
...The MCP server then loads this captured “flow” and exposes it to the AI agent via the Model Context Protocol (MCP), letting the agent examine, search, filter, and reason about the session just as a human developer would, without needing the agent to re-run the flow or rely on minimal reproduction data (logs, screenshots). -
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Jira MCP
A Go-based MCP (Model Control Protocol) connector for Jira
The Jira MCP is a Go-based MCP connector that enables AI assistants to interact with Atlassian Jira. It provides a seamless interface for performing common Jira operations, including issue management, sprint planning, and workflow transitions. -
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KOM
Kubernetes Operations Manager
A Kubernetes Operations Manager (kom) that serves as an SDK-level tool, encapsulating functionalities of kubectl and client-go, providing a comprehensive suite of features for managing Kubernetes resources efficiently. -
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K8M
Mini Kubernetes AI Dashboard
An AI-driven Mini Kubernetes Dashboard designed to simplify cluster management, offering a lightweight console tool with integrated large language model capabilities for enhanced operational efficiency. -
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Claw Compactor
14-stage Fusion Pipeline for LLM token compression
Claw Compactor is a utility designed to optimize and manage the context limitations inherent in AI agent systems, particularly those built on OpenClaw-like architectures. It addresses the challenge of finite context windows in language models by compressing or summarizing historical interactions while preserving essential information. The system works by transforming older conversation data into condensed representations that maintain continuity without exceeding token limits. ... -
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Memori
SQL-native memory layer enabling persistent context for AI agents
...It extracts structured information such as facts, preferences, rules, and summaries from interactions and stores them in standard SQL databases for later retrieval. By recalling relevant context during future model calls, Memori helps AI agents produce more consistent and context-aware responses while reducing the need to repeatedly provide background information. Memori is designed to work with multiple LLM providers, data stores, and AI frameworks, allowing it to integrate into existing software architectures without requiring major changes. -
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LongBench
LongBench v2 and LongBench (ACL 25'&24')
...It supports bilingual evaluation in English and Chinese to assess multilingual capabilities across extended contexts. Newer versions of the benchmark introduce extremely long context windows ranging from thousands to millions of tokens, enabling researchers to test the limits of modern long-context models.
