Search Results for "custom-eclipse" - Page 2
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Showing 662 open source projects for "custom-eclipse"
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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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Claude Agent SDK
Programmatically build AI agents with Claude Code's capabilities
...Since it’s designed to tap into Claude Code’s capabilities, it integrates tightly with the underlying agent runtime, giving access to built-in tools like file system access, command execution, and code editing, and enabling features such as custom agents, hooks, and subagents. -
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MHR-CFW
A Domain-Fronting Relay that routes traffic though GAS
MHR-CFW is a custom firmware project designed to modify and extend the functionality of specific gaming or embedded systems. It provides tools and patches that allow users to unlock additional features, bypass restrictions, or enhance performance. The project focuses on enabling deeper control over system behavior through firmware-level changes. It is particularly relevant for enthusiasts and developers interested in system modification and customization. -
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Activepieces
Open Source AI Automation
...Activepieces can be self-hosted or used via a cloud deployment, making it flexible for teams of all sizes. It supports integrations with popular services like Slack, Google Sheets, and Discord, and allows users to create custom pieces to suit unique needs. With real-time logs, version history, and scheduling, Activepieces is positioned as a compelling alternative to Zapier for open-source and privacy-conscious users. -
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ChatGPT2API
The reverse implementation of the ChatGPT official website interface
...It supports features such as conversation continuity and parameter customization. The project is particularly useful for experimentation, automation, and integration into custom tools. It emphasizes flexibility and accessibility for developers building AI-powered applications. Overall, it acts as a bridge between web-based AI interfaces and programmable systems. -
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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GPT Crawler
Crawl a site to generate knowledge files to create your own custom GPT
...It focuses on extracting high-quality textual content from web pages and preparing it in formats suitable for embedding, indexing, or fine-tuning workflows. The project is especially useful for teams that want to turn documentation sites or knowledge bases into conversational AI backends without building custom scrapers from scratch. It includes configurable crawling logic, content filtering, and output pipelines that streamline the process of preparing data for large language models. Developers can integrate it into automated pipelines to keep knowledge sources fresh and synchronized with live websites. The overall architecture emphasizes extensibility, allowing users to customize crawling depth, parsing rules, and output handling. -
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Claude Agent SDK for Python
Python SDK for Claude Agent
...The SDK wraps the core functionality of Claude Code and exposes high-level asynchronous and synchronous interfaces to query prompts, manage sessions, and orchestrate tool use — so you can build agents that understand code, make edits, run bash commands, interact with files, and handle workflows without writing low-level agent loop logic yourself. It ships with a bundled Claude Code CLI for convenience, though you can also point it to a custom installation, and supports defining custom tools and hooks directly in Python, which become callable by the agent during execution. -
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DeerFlow
Deep Research framework, combining language models with tools
...It supports asynchronous task coordination, modular tool integration, and orchestrates the data flow between agents — making it suitable for large-scale or multi-stage research pipelines. Users can deploy it locally or on server infrastructure, integrate custom tools, and benefit from its flexible configuration. -
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LightZero
[NeurIPS 2023 Spotlight] LightZero
LightZero is an efficient, scalable, and open-source framework implementing MuZero, a powerful model-based reinforcement learning algorithm that learns to predict rewards and transitions without explicit environment models. Developed by OpenDILab, LightZero focuses on providing a highly optimized and user-friendly platform for both academic research and industrial applications of MuZero and similar algorithms. -
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Open Notebook
An Open Source implementation of Notebook LM with more flexibility
Open Notebook is an open-source, privacy-focused alternative to Google’s Notebook LM that gives users full control over their research and AI workflows. Designed to be self-hosted, it ensures complete data sovereignty by keeping your content local or within your own infrastructure. The platform supports 16+ AI providers—including OpenAI, Anthropic, Ollama, Google, and LM Studio—allowing flexible model choice and cost optimization. Open Notebook enables users to organize and analyze... -
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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Mochi Diffusion
Run Stable Diffusion on Mac natively
...Generate images based on an existing image (commonly known as Image2Image) Generated images are saved with prompt info inside EXIF metadata (view in Finder's Get Info window) Convert generated images to high resolution (using RealESRGAN) Autosave & restore images. Use custom Stable Diffusion Core ML models. No worries about pickled models. macOS native app using SwiftUI. -
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Crush
The glamourous AI CLI coding agent for your favourite terminal 💘
Crush is a next-generation, terminal-based AI coding assistant developed by Charm, designed to seamlessly integrate with your tools, workflows, and preferred LLMs. It provides developers with an intuitive, session-based experience where multiple contexts can be managed across projects. With flexible model switching, Crush allows you to change providers mid-session while retaining conversation history. It enhances productivity by combining LSP (Language Server Protocol) support with... -
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Eigent
The Open Source Cowork Desktop to Unlock Your Exceptional Productivity
Eigent is an open-source cowork desktop application designed to help you build, manage, and deploy a custom AI workforce. It enables multiple specialized AI agents to collaborate in parallel, turning complex workflows into automated, end-to-end tasks. Built on the CAMEL-AI multi-agent framework, Eigent emphasizes productivity, flexibility, and transparent system design. You can run Eigent fully locally for maximum privacy and data control, or choose a cloud-connected experience for quick access. ... -
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OpenLIT
OpenLIT is an open-source LLM Observability tool
OpenLIT is an OpenTelemetry-native tool designed to help developers gain insights into the performance of their LLM applications in production. It automatically collects LLM input and output metadata and monitors GPU performance for self-hosted LLMs. OpenLIT makes integrating observability into GenAI projects effortless with just a single line of code. Whether you're working with popular LLM providers such as OpenAI and HuggingFace, or leveraging vector databases like ChromaDB, OpenLIT... -
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TreeQuest
A Tree Search Library with Flexible API for LLM Inference-Time Scaling
TreeQuest, developed by SakanaAI, is a versatile Python library implementing adaptive tree search algorithms—such as AB‑MCTS—for enhancing inference-time performance of large language models (LLMs). It allows developers to define custom state-generation and scoring functions (e.g., via LLMs), and then efficiently explores possible answer trees during runtime. With support for multi-LLM collaboration, checkpointing, and mixed policies, TreeQuest enables smarter, trial‑and‑error question answering by leveraging both breadth (multiple attempts) and depth (iterative refinement) strategies to find better outputs dynamically -
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Open ChatGPT Atlas
Open Source and Free Alternative to ChatGPT Atlas
Open ChatGPT Atlas is an open-source toolkit and interface for working with OpenAI’s ChatGPT models in a more extensible, adaptable, and composable way than standard web UIs allow. It provides an architecture where developers and power users can manage state, tool integrations, and multi-turn workflows with more control, enabling custom UIs, automation layers, and advanced routing logic. Unlike a fixed chat app, Atlas is designed as a foundation that can be extended with plugins, external APIs, and custom logic to support domain-specific assistants, agent-like behaviors, and multi-task workflows. The project includes utilities for session management to preserve context across interactions, structured interfaces for streaming responses, and integration layers that let you plug in third-party tools and services. ... -
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Lecca.io
Lecca.io | AI Agents & Automations
Lecca.io is an AI platform that allows you to configure and deploy Large Language Models (LLMs) equipped with powerful tools and workflows. Build, customize, and automate your AI agents with ease. -
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ZeroBot-Plugin
OneBot plugin based on ZeroBot
ZeroBot-Plugin is a Go-based plugin collection for the ZeroBot ecosystem and OneBot-compatible bot frameworks. It packages many bot capabilities into a ready-to-run project that can be used through release binaries, direct local execution, or custom compilation. The repository is aimed mainly at QQ and OneBot-style chatbot deployments, with plugins that can be enabled, modified, or extended by developers. It is designed for users who want a richer bot feature set without writing every plugin from scratch. The project supports a community-oriented workflow where plugins can evolve and new ideas can be tested in related playground repositories. ... -
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BioNeMo
BioNeMo Framework: For building and adapting AI models
BioNeMo is an AI-powered framework developed by NVIDIA for protein and molecular generation using deep learning models. It provides researchers and developers with tools to design, analyze, and optimize biological molecules, aiding in drug discovery and synthetic biology applications. -
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Llama Stack
Composable building blocks to build Llama Apps
Llama-Stack is an open-source framework designed to facilitate the deployment and fine-tuning of large language models (LLMs) for various natural language processing tasks. -
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spaCy models
Models for the spaCy Natural Language Processing (NLP) library
...Since its release in 2015, spaCy has become an industry standard with a huge ecosystem. Choose from a variety of plugins, integrate with your machine learning stack and build custom components and workflows. -
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AstrBot
Agentic IM Chatbot infrastructure
AstrBot is an AI-driven chatbot framework designed to help developers build intelligent conversational agents that can be deployed across multiple messaging environments. The project focuses on modular architecture so users can extend the bot with plugins, custom skills, and integrations without modifying the core engine. It is built to support modern large language model workflows, enabling natural language understanding, automated responses, and task execution within chat contexts. AstrBot emphasizes flexibility for both hobbyists and production scenarios, providing configuration options that allow different AI backends and deployment styles. ... -
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SDGym
Benchmarking synthetic data generation methods
...Select any of the publicly available datasets from the SDV project, or input your own data. Choose from any of the SDV synthesizers and baselines. Or write your own custom machine learning model. In addition to performance and memory usage, you can also measure synthetic data quality and privacy through a variety of metrics. Install SDGym using pip or conda. We recommend using a virtual environment to avoid conflicts with other software on your device. -
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Claude Skills
Public repository for Agent Skills
Claude Skills is a public repository that showcases and serves as a collection of skills — modular, reusable packages of instructions, scripts, and resources that Claude and other compatible agents can dynamically discover and load to extend their capabilities on specialized tasks. Rather than relying on handcrafted prompts every time, Skills teach an AI agent procedural knowledge and task-specific workflows so it can apply that expertise reliably, whether the task involves document... -
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HunyuanVideo
HunyuanVideo: A Systematic Framework For Large Video Generation Model
HunyuanVideo is a cutting-edge framework designed for large-scale video generation, leveraging advanced AI techniques to synthesize videos from various inputs. It is implemented in PyTorch, providing pre-trained model weights and inference code for efficient deployment. The framework aims to push the boundaries of video generation quality, incorporating multiple innovative approaches to improve the realism and coherence of the generated content. Release of FP8 model weights to reduce GPU... -
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Forge: Magic: The Gathering Rules Engine
An unofficial rules engine for the world's greatest card game
...The software supports multiple play modes, including single-player against AI opponents, multiplayer sessions, and even adventure-style gameplay modes that expand beyond traditional card duels. Its architecture is highly extensible, enabling developers to script new cards, create custom sets, and modify gameplay mechanics through its API and scripting system. Forge includes tools for deck building, card searching, and automated gameplay assistance, making it accessible to both new players and experienced enthusiasts.
