Search Results for "maintenance"
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Showing 39 open source projects for "maintenance"
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Awesome Stars
A curated collection of top-tier penetration testing tools
...Because it aggregates rather than authors tooling, it serves as a navigation hub for both learners and seasoned testers. Actively starred and forked, signaling ongoing maintenance. Topic pages and GitHub listings surface it among popular pentesting resources, reinforcing its role as a go-to index. -
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llama.cpp Python Bindings
Python bindings for llama.cpp
llama-cpp-python provides Python bindings for llama.cpp, enabling the integration of LLaMA (Large Language Model Meta AI) language models into Python applications. This facilitates the use of LLaMA's capabilities in natural language processing tasks within Python environments. -
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Applio
A simple, high-quality voice conversion tool focused on ease of use
...The project is structured to be flexible through plugins and configurations so users can extend functionality without touching the core code. Applio is considered stable and mature; ongoing development is now centered on security patches, dependency maintenance, and occasional improvements, which makes it attractive for production or repeatable workflows. It also includes TensorBoard helper scripts so people training custom models can monitor metrics and experiment more systematically. -
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ClawSweeper
ClawSweeper scans all issues and PRs
ClawSweeper is an AI-assisted maintenance bot that scans GitHub issues and pull requests to suggest which items may be safe to close. It is designed for open-source maintainers who accumulate stale discussions, outdated reports, duplicate requests, or abandoned contributions over time. The project runs across issues and PRs on a scheduled basis, reviewing each item and producing a reasoned recommendation instead of simply closing content automatically. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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GPT4Free
The official gpt4free repository
gpt4free is an open-source project offering free, unrestricted access to GPT‑4–style language models without requiring an API key. The repository includes scripts and server implementations designed to replicate OpenAI’s GPT‑4 API behavior by leveraging publicly available or self-hosted models. It’s licensed under GPL‑v3. -
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EventCatalog
Open source tool for documenting and exploring event-driven systems
EventCatalog is an open source documentation tool designed for event-driven architectures. It helps teams organize, document, and understand complex systems by mapping events, services, domains, and flows in one place. Instead of scattered knowledge, it creates a central, searchable catalog that improves visibility and collaboration. Documentation is generated and maintained automatically, making it easier to keep systems up to date as they evolve. With built-in discoverability features,... -
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Inbox Zero
AI assistant that automates email tasks to help achieve inbox zero
...Inbox Zero is structured as a modern web application built with a monorepo architecture that contains multiple applications and shared packages, allowing modular development and easier maintenance. It integrates with email services and can automate actions such as scheduling tasks, generating replies, and managing follow-ups. Inbox Zero is designed to allow users to retain precise control over automation rules while still benefiting from AI-driven suggestions and analysis. -
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Gymnasium
An API standard for single-agent reinforcement learning environments
Gymnasium is a fork of OpenAI Gym, maintained by the Farama Foundation, that provides a standardized API for reinforcement learning environments. It improves upon Gym with better support, maintenance, and additional features while maintaining backward compatibility. -
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APIPark
APIPark is the #1 open-source AI Gateway and Developer Portal
...Standardize the request data format for all AI models. When switching AI models or modifying prompts, it won’t affect your app or microservices, simplifying your AI usage and reducing maintenance costs. You can quickly combine AI models and prompts into new APIs. For example, using OpenAI GPT-4 and custom prompts, you can create sentiment analysis APIs, translation APIs, or data analysis APIs. API lifecycle management helps standardize the process of managing APIs, including traffic forwarding, load balancing, and managing different versions of publicly accessible APIs. ... -
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claude-obsidian
Claude + Obsidian knowledge companion
claude-obsidian is an AI-powered knowledge engine that transforms an Obsidian vault into a self-organizing, continuously evolving wiki. Instead of acting as a simple chat assistant, it autonomously creates, links, and maintains structured knowledge based on user inputs and external sources. The system follows the LLM Wiki pattern, where information is stored as persistent markdown files that grow richer over time through cross-referencing and synthesis. It includes features such as... -
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Codai
Codai is an AI code assistant that helps developers
Codai is an AI code assistant designed to help developers efficiently manage their daily tasks through a session-based CLI, such as adding new features, refactoring, and performing detailed code reviews. What makes codai stand out is its deep understanding of the entire context of your project, enabling it to analyze your code base and suggest improvements or new code based on your context. This AI-powered tool supports multiple LLM providers, such as OpenAI, Azure OpenAI, Ollama, Anthropic,... -
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Suno AI API
Use API to call the music generation AI of suno.ai
Suno API is an unofficial open-source interface that enables developers to programmatically interact with Suno’s AI music generation platform, allowing automated creation of songs, lyrics, and audio content through API calls. It replicates the behavior of Suno’s web-based creation tools by reverse engineering internal endpoints and exposing them through a developer-friendly interface built with Python and FastAPI. The system supports asynchronous processing, enabling efficient handling of... -
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LLM Wiki
Open Source Implementation of Karpathy's LLM Wiki
LLM Wiki is a knowledge management and documentation system designed to organize, generate, and maintain structured information using large language models. 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... -
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NoneBot
Asynchronous multi-platform robot framework written in Python
...NoneBot2 provides an easy-to-use, interactive command-line tool -- nb-cli, making it easier to get started with NoneBot2 for the first time. The plug-in system is the core of NoneBot2, through which the modularization and function expansion of the robot can be realized, which is convenient for maintenance and management. -
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...As your data and ML workflows expand and demand more computing power, your workflow orchestration platform must keep up. If it’s not designed to scale, your platform will require constant monitoring and maintenance. Flyte was built with scalability in mind, ready to handle changing workloads and resource needs.
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16
SAG
SQL-Driven RAG Engine
...The engine integrates semantic vector similarity with traditional full-text search to improve both recall and precision. Because the knowledge graph is generated dynamically, the system can adapt to new information without requiring manual graph maintenance. -
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n-skills
Curated plugin marketplace for AI agents
...It organizes skills into categories such as workflow orchestration, tools, automation, and documentation support, making it easy for developers to add capabilities like browser automation, multi-agent workflow coordination, or repo maintenance assistance. The repository includes a universal AGENTS.md discovery file and a shared SKILL.md format so that once a skill is published, it can be recognized and used by Claude Code, GitHub Copilot, Codex, Cursor, and other AI coding assistants with minimal friction. Installation of skills is supported through native installers or via universal installers like openskills, enabling seamless adoption in diverse development environments. -
18
DSH Anchored Standard
Two-phase DeepSeek Harness preset
...Promotion state is derived from persistent session events, so it survives reloads and resumed sessions. Heavier tools can be discovered and unlocked on demand rather than exposed immediately. The project is now primarily maintenance-only. -
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Keep Codex Fast
A backup-first Codex skill for keeping local Codex state fast
Keep Codex Fast is a backup-first Codex skill for keeping local Codex state clean, fast, and recoverable after heavy use. It is designed for users whose Codex environment has accumulated long chats, logs, worktrees, project history, and local metadata over time. The project emphasizes inspection before action, so its default mode reports what has grown without changing files. When applied manually, it backs up first, archives old sessions, rotates large logs, moves stale worktrees, and... -
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AI Deadlines
AI conference deadline countdowns
...The repository includes configuration files and data sources that allow contributors to add or update conferences through pull requests, enabling community-driven maintenance. -
21
Gollama
Go manage your Ollama models
...It provides a TUI that lets users list, inspect, sort, filter, edit, run, unload, copy, rename, delete, and push models from one place rather than relying entirely on manual command-line workflows. The project is aimed at developers and local AI users who frequently work with multiple Ollama models and want a more efficient operational layer for everyday maintenance. Beyond standard model management, Gollama can display metadata such as size, quantization level, model family, and modification date, which helps users compare models quickly. One of its more distinctive capabilities is a VRAM estimation system that can calculate memory requirements, estimate context limits, and help users choose quantization settings that fit available hardware. -
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Sled
Teleport Claude Code, Codex or Gemini CLI to your phone
...This project resembles modern agent front ends where developers can test, iterate, and prompt their local models or backends without complex setup. The interface is light and integrates into broader development stacks, and the repository’s activity suggests ongoing maintenance with an MIT license and community engagement. -
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Awesome-MCP-ZH
Claude MCP, MCP Servers, MCP Clients
...The curation emphasizes beginner-friendly on-ramps, including clients that bundle runtimes and one-click setups, as well as advanced references for power users. Regular updates and community stars indicate ongoing maintenance and adoption within the Chinese developer community. The project also points to complementary indexes and showcases, helping users compare capabilities before integrating servers in their IDEs or assistants. In effect, it’s a central directory for MCP knowledge tailored to Chinese speakers. -
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BrowserTools MCP
Monitor browser logs directly from Cursor
Browser Tools MCP is an MCP server and Chrome extension that gives AI agents safe, structured access to your live browser for debugging and automation. It can capture console/network logs, DOM snapshots, and screenshots, and expose them as typed resources the agent can query or act on. The design aims to make IDE agents (e.g., Cursor, Claude Desktop) more “web-aware,” enabling workflows like reproducing a bug, collecting evidence, and proposing fixes without copy-pasting. Documentation and... -
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Prompt Poet
Streamlines and simplifies prompt design for both developers
Prompt Poet is an open-source framework designed to simplify the creation, organization, and maintenance of prompts for large language model applications. The project focuses on transforming prompt engineering into a structured design process rather than ad-hoc string manipulation within application code. It allows developers and non-technical users to build prompts using templated configurations based on YAML and Jinja2, which makes prompts easier to compose, reuse, and modify across different environments. ...