Search Results for "context" - Page 8
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Showing 242 open source projects for "context"
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Resume-Matcher
Improve your resumes with Resume Matcher
Resume-Matcher is a command-line application that compares resumes against job descriptions using natural language processing. It provides a compatibility score based on keyword relevance and highlights areas where the resume aligns—or doesn't—with the target role. Designed for job seekers and HR professionals, it helps improve resume tailoring and streamlines candidate screening. -
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Presubmit
Context-aware AI reviewer for Pull Requests
Optimize your code review process with Presubmit's AI Code Reviewer catches bugs, suggests improvements, and provides a meaningful summary - all before human reviewers take their first look. -
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Poco Claw
A more beautiful and easier-to-use alternative to OpenClaw
Poco Claw is an AI agent platform designed as a more user-friendly and visually polished alternative to traditional OpenClaw implementations. It focuses on improving usability by providing a modern web interface combined with enhanced interaction capabilities such as built-in messaging and project organization tools. The system operates on a sandboxed runtime, ensuring that tasks executed by the agent are isolated from the host environment, which improves security and reliability. It extends... -
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canvas-editor
Canvas-based WYSIWYG rich text editor with advanced layout tools
...It includes support for page-based layouts with headers, footers, pagination, and print-ready output, including PDF generation. It also provides interactive components such as form controls and context menus, making it suitable for building complex document editing systems. -
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5
ClawRouter
Smart LLM router
...It provides a programmable router abstraction that can handle complex traffic patterns, enabling dynamic message forwarding, load balancing, and custom routing logic based on content, context, or policy rules. Because distributed AI systems often involve many services, agents, and runtime components interacting with each other and with external APIs, ClawRouter helps ensure that communication paths remain clear, efficient, and adaptable as systems scale. The framework supports plugin-based extensions so developers can define custom protocols, transformation hooks, and monitoring handlers without modifying core routing logic. ... -
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Corsair
Your Agent's Integration Layer
...A permission system can allow, require approval for, or block read, write, and destructive operations. Credentials are resolved internally and can be stored with envelope encryption rather than passed into model context. Multi-tenant mode isolates each tenant's credentials, data, and permission evaluation. Plugins can also provide signature-verified webhooks through a shared endpoint. Corsair is designed for production agent systems that need OAuth, scoped authorization, human approval, and centralized integration control. -
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Codebuff
Generate code from the terminal!
...Instead of relying on a single model, it orchestrates multiple specialized agents that collaborate to understand, plan, edit, and review code changes. This multi-agent approach enables more accurate edits, better context awareness, and fewer errors across complex projects. Codebuff operates primarily through a CLI, allowing developers to interact with their code directly from the terminal. It also offers an SDK for integrating agent-based coding workflows into applications and development pipelines. With support for multiple AI models and customizable agents, Codebuff provides a flexible and powerful alternative to traditional coding assistants. -
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GitHub Copilot SDK
Multi-platform SDK for integrating GitHub Copilot Agent into apps
...Instead of being limited to editors like VS Code, this SDK lets teams embed Copilot-style code suggestions, natural language assistance, and predictive completions anywhere they see fit—such as internal IDEs, browser extensions, documentation portals, or bespoke tools tailored to specific languages or frameworks. It provides a structured API surface for invoking the Copilot model in context with the surrounding user state, capturing document content, cursor position, and invocation triggers so suggestions are relevant and responsive. The SDK includes helpers for streaming completions, managing rate limits, handling authentication, and integrating with telemetry and analytics pipelines. -
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Memobase
Fast backend for long-term AI user memory via structured profiles
...Instead of relying purely on traditional embedding-based retrieval or RAG systems, Memobase uses profile and timeline structures to deliver memory that reflects user context efficiently and meaningfully. The system focuses on three principal performance metrics: high search performance, reduced large language model (LLM) costs through batch processing techniques, and low latency with minimal SQL operations. Memobase supports integration with existing LLM workflows via APIs and SDKs (including Python, Node, and Go), making it easy to adopt within diverse application stacks. -
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Talk to Figma MCP
AI bridge enabling Cursor agents to read and modify Figma designs
cursor-talk-to-figma-mcp is an open source integration that connects AI coding agents with Figma through the Model Context Protocol (MCP). It allows AI tools such as Cursor or other compatible agents to directly communicate with Figma documents and interact with design elements programmatically. Through this integration, an AI assistant can read the structure of a design, retrieve information about nodes or selections, and perform modifications to the layout or content. cursor-talk-to-figma-mcp includes an MCP server and a Figma plugin that communicate through a WebSocket connection, enabling real-time interaction between the AI environment and the design canvas. ... -
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GitMCP
Turn any GitHub repository into an MCP documentation server for AI
GitMCP is an open source remote Model Context Protocol (MCP) server designed to transform GitHub repositories into structured documentation hubs that AI assistants can query directly. It enables developer-focused AI tools to access up-to-date project documentation and source code so that responses are grounded in real repository content rather than outdated training data. By exposing repository documentation and code through standardized MCP tools, GitMCP helps reduce incorrect or fabricated answers when AI systems assist with coding tasks. ... -
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InsForge
InsForge is the backend built for AI-assisted development
...Rather than forcing developers to manually cobble together authentication flows, database schemas, storage buckets, and cloud functions, InsForge provides a semantic layer and toolchain that let agents configured with Model Context Protocol (MCP) understand the backend state, available operations, and how to manipulate these resources end to end. This enables AI coding assistants to complement human engineers by self-configuring backend components, connecting services, and evolving apps autonomously from prompts without switching contexts or manually provisioning infrastructure. -
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Claude Code Action
Claude Code action for GitHub PRs
...It can wake up automatically when someone mentions @claude, when a PR or issue meets certain conditions, or when a workflow step provides an explicit prompt. The action is designed to understand diffs and surrounding context, so its comments and suggestions are grounded in what actually changed rather than the whole repository. Teams can configure how and when it participates, including authentication via Anthropic’s API as well as cloud providers like Bedrock or Vertex, and control whether it posts inline comments, summary reviews, or pushes commits. ... -
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Ax
Build LLM powered Agents and "Agentic workflows"
...We agree with many experts like "Andrew Ng" that agentic workflows are the key to unlocking the true power of large language models and what can be achieved with in-context learning. Also, we are big fans of the Stanford DSPy paper, and this library is the result of all of this coming together to build a powerful framework for you to build with. -
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ChatGPT2API
The reverse implementation of the ChatGPT official website interface
ChatGPT2API is a proxy service that converts ChatGPT web interactions into an API-compatible interface, enabling programmatic access to chat functionality. It allows developers to integrate ChatGPT-like capabilities into applications without relying directly on official APIs. The system works by bridging browser-based sessions with API-style endpoints, translating requests and responses seamlessly. It supports features such as conversation continuity and parameter customization. The project... -
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TencentDB Agent Memory
TencentDB Agent Memory delivers fully local long-term memory for AI
...It uses symbolic short-term memory and layered long-term memory instead of storing everything as flat vector fragments. For active tasks, it offloads heavy logs into external files and keeps a compact Mermaid canvas in the agent context. For personalization, it organizes memory from raw conversations into atoms, scenarios, and persona-level knowledge. The design keeps high-level memory inspectable while preserving a drill-down path back to raw evidence. It is built for OpenClaw and Hermes-style agent workflows that need lower token usage, better continuity, and no external API dependency. -
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Search with Lepton
Lightweight demo to build a conversational AI search engine quickly
...It combines traditional web search with large language models to provide natural language answers to user queries. It retrieves information from supported search engines and uses that context to generate responses through a retrieval-augmented generation approach. The implementation is intentionally minimal, containing fewer than 500 lines of code while still providing a complete working example of an AI-powered search system. It includes both a backend service written in Python and a web interface that allows users to interact with the search engine in a conversational format. ... -
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Claude Code Video Vision
Give Claude the ability to watch and understand videos
Claude Video Vision is a plugin designed for Claude Code that enables large language models to process and understand video content by transforming it into multimodal inputs the model can reason over. Instead of attempting to directly interpret raw video streams, the system extracts key frames using tools like ffmpeg and processes audio through transcription engines, converting both visual and auditory signals into structured inputs for the model. The result is a perception layer that feeds... -
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Eigent
The Open Source Cowork Desktop to Unlock Your Exceptional Productivity
...You can run Eigent fully locally for maximum privacy and data control, or choose a cloud-connected experience for quick access. The platform supports a wide range of AI models and integrates powerful tools through the Model Context Protocol (MCP). With human-in-the-loop controls and enterprise-ready features, Eigent balances automation with oversight and security. -
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GSD 2
A powerful meta-prompting, context engineering
GSD 2 is a project focused on automating and streamlining development workflows through structured build systems and tooling. It aims to simplify the process of configuring, building, and deploying applications by providing predefined templates and automation scripts. The system is designed to reduce manual setup and improve consistency across development environments. It supports modular configurations, allowing users to adapt the build process to different project requirements. The project... -
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Peta Core
Secure vault, managed runtime, audit trail, and policy-based approvals
Peta Core is an open-source project that aims to provide foundational infrastructure for building extensible, distributed applications and services, particularly in the context of agentic systems and modern tooling. It typically encompasses core abstractions, protocols, and utilities that other modules in the PETA ecosystem can build upon, offering patterns for service discovery, messaging, workflow orchestration, and plugin integration. PETA-Core may include frameworks for managing agent lifecycles, standard interfaces for connectors, and support for consistent configuration across components, making it easier to assemble complex, multi-part applications with clear boundaries and reusable logic. ... -
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Mastra
The TypeScript AI agent framework
Mastra is a TypeScript-first framework for building AI-powered applications and agents, designed to take projects from prototype to production on a modern JavaScript/TypeScript stack. It integrates cleanly with React, Next.js, and Node-based backends, but can also run as a standalone server, giving teams flexibility in how they deploy their AI logic. At its core, Mastra provides abstractions for agents, workflows, tools, memory, retrieval, and model routing, so developers can focus on... -
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Microsoft Agent Skills
Skills, MCP servers, Custom Agents, Agents.md for SDKs
Microsoft Agent Skills is an actively maintained repository of skills, custom agents, templates, and MCP configuration files designed to extend AI coding assistants with deep knowledge about Azure SDKs and Microsoft AI Foundry services. The project bundles over a hundred domain-specific skills that teach AI agents how to perform tasks like Azure resource provisioning, SDK usage patterns, infrastructure setup, and common DevOps workflows, bridging the gap between agent reasoning and... -
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5ire
5ire is a cross-platform desktop AI assistant, MCP client
...If you don't anticipate using the tools feature immediately, you may choose to skip this installation step and complete it later when the need arises. 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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LazyCodex
The one and only agent harness for complex codebases
...It is designed to add structure around AI coding sessions through memory, planning, execution, verification, skills, hooks, routing, and diagnostics. The project helps developers move beyond one-off prompts by giving the agent a more organized workflow inside a codebase. It supports project memory so context can persist across sessions and decisions do not need to be repeatedly reintroduced. LazyCodex also emphasizes verified completion, which means the workflow is built around checking whether tasks are actually finished rather than only generating code. Its main value is turning Codex into a more disciplined coding agent environment for larger and more demanding repositories.
