Search Results for "context"
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Showing 73 open source projects for "context"
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Claude Context
Code search MCP for Claude Code
...It supports workflows such as retrieval-augmented generation, where external knowledge is dynamically incorporated into model responses. The project emphasizes scalability, allowing it to handle large datasets and complex queries efficiently. It also provides tools for organizing and managing context, making it easier to maintain structured knowledge bases. Overall, Claude-context acts as a bridge between raw data and AI models, improving the relevance and accuracy of generated outputs. -
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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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Lossless Claw
LCM (Lossless Context Management) plugin for OpenClaw
Lossless Claw is an advanced context management plugin for the OpenClaw agent ecosystem that redefines how conversational memory is handled in large language model systems. Instead of relying on traditional sliding-window truncation or lossy summarization, it introduces a lossless architecture that preserves all historical messages while maintaining usable context within token limits. -
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Cherry Studio
Cherry Studio is a desktop client that supports for multiple LLMs
Cherry Studio is a cross-platform desktop client that integrates multiple large language model providers into a unified interface for creating and using AI assistants, supporting customization and multi-model conversations. Selection Assistant with smart content selection enhancement. Deep Research with advanced research capabilities. Memory System with global context awareness. Document Preprocessing with improved document handling. MCP Marketplace for Model Context Protocol ecosystem. -
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agentmemory
#1 Persistent memory for AI coding agents
...It combines keyword search, vector search, confidence scoring, lifecycle management, and knowledge graph querying to retrieve useful memories without overloading the context window. The project also includes hooks, an API, import and export support, audit trails, and team sharing workflows. Overall, agentmemory is designed to make AI coding assistants more continuous, context-aware, and useful across long-running software projects. -
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Kanwas
Shared context board for teams and agents
Kanwas is an open-source shared context board built for teams and AI agents working together in the same workspace. It gives people and agents a common canvas where documents, evidence, decisions, notes, tasks, embeds, and outputs can live side by side. Instead of scattering context across chats, documents, and disconnected tools, Kanwas turns messy collaborative work into a shared visual environment that both humans and agents can read and update. -
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WrenAI
Open-source SQL AI Agent for Text-to-SQL. Make Text2SQL Easy
Wren AI is a SQL AI Agent for data teams to get results and insights faster by asking business questions without writing SQL, and it's open-source. Wren AI has implemented a semantic engine architecture to provide the LLM context of your business; you can easily establish a logical presentation layer on your data schema that helps LLM learn more about your business context. With Wren AI, you can process metadata, schema, terminology, data relationships, and the logic behind calculations and aggregations with “Modeling Definition Language”, to generate accurate SQL queries with semantic context. ... -
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CopilotKit
Build in-app AI chatbots, and AI-powered Text areas
A bridge between your copilot and your app. A programmable 2-way bridge between your copilot, and your application state (client & cloud). Supports 3rd party integrations (e.g. Salesforce, Zendesk, etc.). Plug-and-play, fully customizable, copilot infrastructure. Build in-app AI chatbots that can "see" the current app state + take action inside your app. The AI chatbot can talk to your app frontend & backend, and to 3rd party services (Salesforce, Dropbox, etc.) via plugins. Autocompletion +... -
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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. -
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Letta Code
The memory-first coding agent
Letta Code is a memory-first CLI coding agent built on the Letta platform that offers developers a persistent AI assistant capable of learning and improving over time rather than resetting state each session, giving agents a sense of continuity and context across coding tasks. 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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MCP Chat
Open Source Generic MCP Client for testing & evaluating mcp servers
mcp-chat is an open-source, generic command-line interface (CLI) client designed for testing and evaluating Model Context Protocol (MCP) servers and agents. It allows users to interact with various MCP servers, facilitating seamless communication with AI models. The tool supports both interactive and direct prompt modes, enhancing flexibility in user interactions. -
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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. ... -
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LobeHub
Workspace to find, build, and collaborate with AI agents
LobeHub is an all-in-one workspace designed to help humans and AI agents collaborate, grow, and evolve together. It treats AI agents as true teammates rather than one-off tools, enabling deeper context, continuity, and productivity. Users can build personalized agent teams that understand their workflows, preferences, and goals over time. LobeHub brings multiple models, tools, and modalities into a single unified environment under the user’s control. With built-in collaboration features, agents can work in parallel, share context, and support complex projects seamlessly. ... -
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Ralph
Autonomous AI agent loop that runs until all PRD items are complete
Ralph is an autonomous AI coding loop that repeatedly runs agentic development tools until every item in a product requirements document is complete. It is designed to work with Amp or Claude Code, launching a fresh AI instance on each iteration to avoid context overload. Instead of relying on one long conversation, Ralph keeps progress through git history, a structured prd.json file, and an append-only progress.txt memory file. Each run selects the highest-priority unfinished user story, implements it, runs quality checks, commits passing work, and updates the PRD status. The workflow encourages teams to split features into small, verifiable stories that fit inside a single context window. ... -
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Dify
One API for plugins and datasets, one interface for prompt engineering
...Unify your development process with one API for plugins and datasets integration, and streamline your operations using a single interface for prompt engineering, visual analytics, and continuous improvement. Out-of-the-box web sites supporting form mode and chat conversation mode A single API encompassing plugin capabilities, context enhancement, and more, saving you backend coding effort Visual data analysis, log review, and annotation for applications -
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ByteRover CLI
The portable memory layer for autonomous coding agents
ByteRover CLI is a portable memory layer for autonomous coding agents. It gives developers a way to store, organize, and reuse project knowledge across coding tools and sessions. The project centers on a context tree that can capture important information about a codebase, decisions, patterns, and instructions. It can run as an interactive command-line experience and connect to an LLM of the user’s choice. ByteRover is useful when agents need persistent context instead of starting from scratch every time they enter a project. Its main value is making agent memory more structured, shareable, and practical across teams, tools, and long-running development workflows. -
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Claude Subconscious
Give Claude Code a subconscious
...Unlike standard AI interactions that reset between sessions, this system accumulates knowledge over time, allowing it to recall user preferences, project structures, and recurring patterns across multiple sessions. The plugin injects relevant context and guidance back into Claude before each prompt, effectively “whispering” insights that improve continuity and decision-making. It also has access to tools such as file reading, code search, and web browsing, enabling it to perform background analysis and augment responses with deeper context. -
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Qwen Code
Qwen Code is a coding agent that lives in the digital world
...Adapted from the Google Gemini CLI, it features an enhanced parser optimized specifically for Qwen-Coder models, enabling deep code understanding and manipulation. The tool supports querying and editing large codebases beyond traditional context limits, making it ideal for modern, complex projects. Qwen Code automates various development workflows, including handling pull requests and performing complex git rebases. It runs on Node.js (version 20 or higher) and can be installed globally via npm or from source. Users configure Qwen Code by setting API keys and endpoints, supporting both mainland China and international access. ... -
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Gemini CLI
Open source AI agent CLI tool to bring Gemini into your terminal
Gemini CLI is an open‑source AI agent that brings the capabilities of Google’s Gemini 2.5 Pro large‑language model directly into your terminal, enabling tasks ranging from coding and debugging to content creation and research via natural‑language prompts, with support for multimodal outputs like image and video generation. Gemini CLI integrates with external tools and MCP servers, enabling media generation and enhanced workflow automation. It also includes a built-in Google Search tool to... -
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agent-browser
Browser automation CLI for AI agents
agent-browser is a toolkit that embeds AI agent capabilities directly into the web browser, enabling agents to interact with web content, scripts, and user actions while maintaining security boundaries that respect user privacy and browser constraints. It effectively provides a sandbox where AI agents can read, scroll, click, and interpret pages in context, allowing them to automate workflows, answer questions about page content, or generate structured summaries directly from the user’s current tab. The project emphasizes standards and safety, defining interfaces that let agents access DOM data, interpret events, and generate actionable insights without exposing sensitive credential-level access or violating policy boundaries. ... -
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Hexis
Git-backed control plane for AI-agent skills, tools, context, identity
...Everything is stored in a Git repository controlled by the organization, giving teams branches, history, change review, and rollback. Role-based access determines which skills, tools, and context each employee and agent can use. A built-in remote MCP server lets compatible clients such as Claude, ChatGPT, Cursor, and Cline connect to the same governed workspace. Tool manuals can include encrypted secrets without exposing credentials directly to agents. Proposed skill changes can move through owner approval before they become available to the wider team. ... -
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HybridClaw
The enterprise operating layer for open agents
...The project emphasizes modularity, allowing developers to define and compose “skills” or capabilities that agents can invoke dynamically, enabling more adaptive and context-aware automation. HybridClaw aims to bridge the gap between isolated AI tools and fully orchestrated agent systems by enabling communication, coordination, and shared context across multiple agents or processes. It is particularly relevant in scenarios where developers want to build complex autonomous systems that interact with codebases. -
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NanoClaw
A lightweight alternative to Clawdbot / OpenClaw
...The project connects directly to WhatsApp, letting you deploy an assistant that can chat in a familiar interface while still supporting real agent behaviors instead of simple call-and-response prompts. It includes memory so the assistant can retain important context across interactions, enabling more consistent follow-through on ongoing tasks. It also supports scheduled jobs, making it suitable for recurring reminders, periodic automations, and timed workflows without needing an external orchestrator. -
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LLM Wiki
Open Source Implementation of Karpathy's LLM Wiki
...It allows users to create interconnected knowledge bases that function similarly to a wiki but are enhanced with AI-driven content generation and summarization. The system emphasizes linking and context, enabling information to be connected across pages and topics for better navigation and understanding. It likely includes features for automatic content updates, ensuring that information remains relevant as new data becomes available. The architecture supports both manual editing and automated generation, providing flexibility in how knowledge is curated. ... -
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TUUI
A desktop MCP client designed as a tool unitary utility integration
Tuui is a desktop chat application built around the Model Context Protocol (MCP), designed as a unified tool to streamline AI interactions by orchestrating LLM APIs across various vendors, with many components generated or transformed through AI workflows. This repository is essentially an LLM chat desktop application based on MCP. It also represents a bold experiment in creating a complete project using AI.
