Development Platform
AIEZZ tool tag
Browsing AI products tagged “Development Platform”, with 10 matching results.
Orchard – Microsoft Research’s Open-Source Agentic AI Modeling FrameworkAI AgentsOrchard – Microsoft Research’s open-source Agentic AI modeling framework. Centered on the Kubernetes-based Orchard Env environment service, the framework supports cross-domain sandbox reuse for data distillation, reinforcement learning rollouts, and evaluation, covering three major scenarios: software engineering, browser navigation, and personal assistants. It provides complete SFT + RL training recipes, along with 107K SWE trajectories and 3,070 GUI multimodal rollout data points, and enables end-to-end training directly in real harnesses such as Codex and OpenClaw. Designed for academic and industrial teams conducting Agent research and development, Orchard offers lower compute and hosting costs while helping smaller models approach frontier performance through cross-harness generalization.00
wigoloAI Agentswigolo is an open-source local search tool that connects to coding agents such as Claude Code and Cursor via MCP. No API key is required, enabling free local search, web fetching, site crawling, structured extraction, ...00
MemHarness – An Agent Memory Reconstruction Framework by Shanghai AI Lab and OthersAI AgentsMemHarness is an LLM Agent memory reconstruction framework released by Shanghai AI Lab in collaboration with Zhejiang University, Fudan University, Shanghai Jiao Tong University, and other universities. It inserts critique and reconstruction steps between retrieval and action, using the current context to retain, rewrite, or discard historical experiences. It uses GRPO for end-to-end training and requires no additional human annotations. The framework supports the complete workflow of memory retrieval, critique and reconstruction, action generation, experience write-back, and pruning, and provides a five-stage decision-making process. Its 7B-parameter model surpasses Gemini-2.5-Pro by 23.1% and 39.7% on ALFWorld and WebShop, respectively, achieving an average success rate of 85.9% in out-of-distribution scenarios. It is suitable for embodied household tasks, autonomous online shopping, intelligent customer service, code-assisted development, and other scenarios.10
PixelRAG – Berkeley’s Open-Source Vision-Native RAG FrameworkDevelopment PlatformsPixelRAG is a vision-native RAG framework open-sourced by Berkeley SkyLab/BAIR. It moves beyond the traditional approach of extracting webpages into plain text before retrieval, instead using a browser to render webpages and PDFs into screenshot tiles, with LoRA-fine-tuned...00
HOMIEAI Video GenerationHOMIE is an open-source digital human video generation framework from the Hong Kong University of Science and Technology, built on the Wan2.1-T2V-14B backbone and integrated with the Qwen3-VL multimodal large language model. The framework uniformly handles four elements—digital humans + products + logos + text—...00
MindMemOS – Huawei Noah's Ark Lab's Open-Source AI Agent Memory Operating SystemAI AgentsMindMemOS – Huawei Noah's Ark Lab's open-source AI agent memory operating system, designed to provide agents requiring long-term memory management with an open, reusable memory layer. It uses a three-dimensional entity–attribute–time structure to decouple memory from individual agents and turn it into an independent, cross-framework asset. Through mechanisms such as Dreaming for offline organization, Feedback for correction, and Skill Evolution for automated improvement, it continuously optimizes memory. The system provides dual-mode memory writing (MindVanilla and MindSchema) and multi-path Compact Search retrieval, supporting Docker local deployment, cloud APIs, a Python SDK, CLI, and other integration methods. With over 94% structured recall accuracy and a 10% improvement in question-answering accuracy after memory compression, it helps developers share information across sessions and improve task efficiency in scenarios such as personalized assistants, multi-agent collaboration, and complex office automation.00
AnyParser APIAI Document ProcessingAnyParser API is the first document-parsing large language model with high accuracy and speed. Using a vision-language model, it improves document retrieval accuracy by up to 2x and precisely extracts text, tables, charts, and layout information from PDFs, PowerPoint files, and images. The API prioritizes customer privacy and enables seamless enterprise integration.00
Get3W – AI Model Aggregation Platform with a Unified API for Flexible Model SwitchingDevelopment PlatformsGet3W – AI Model Aggregation Platform with a Unified API for Flexible Model Switching is an AI model aggregation platform for developers and enterprises. Through a unified API, it provides one-stop access to 700+ models from more than 20 providers, including Google, OpenAI, ByteDance, Alibaba, Kling, Midjourney, Runway, MiniMax, and Black Forest Labs. Its capabilities cover video, image, audio, 3D, panoramic, and conversational content generation. Developers only need to integrate once and can freely switch models under the same interface standards, without repeatedly adapting to each provider’s API. The platform provides REST API, Python/JavaScript SDKs, asynchronous tasks, and Webhook callbacks. With pay-as-you-go pricing, it can save up to approximately 50% compared with direct connections to official channels.00
Hunyuan3D-Buffalo 1.0 – Tencent Hunyuan’s 3D Multimodal Framework3D DesignHunyuan3D-Buffalo 1.0 – Tencent Hunyuan’s 3D Multimodal Framework is a unified 3D multimodal framework developed by Tencent Hunyuan. With a shared Hunyuan3D-VLM backbone, it integrates 3D question answering, spatial grounding, text-to-3D generation, instruction-based editing, and part generation into a single workflow. The framework supports understanding 3D model structures through natural language, locating parts, modifying local geometry based on instructions, and extracting semantic-level components. It aims to connect the full cycle of 3D understanding, generation, and editing, providing a composable 3D asset production solution for games, animation, and industrial design. Core capabilities include 3D understanding, text-to-3D generation, instruction-based editing, and part generation, with all four task types sharing the same 3D semantic representation and processing pipeline. It is suitable for game developers, animators, industrial designers, and 3D content creators, lowering the professional barrier through natural-language interaction while improving asset reuse and iteration efficiency.00
WorldClaw – A 3D World Generation Framework from Tencent Hunyuan Team3D DesignWorldClaw is an Agent-driven open-world 3D generation framework developed by the Tencent Hunyuan team. With a single natural-language description, the system automatically plans terrain, regions, buildings, objects, and spatial relationships. Using a coarse-to-fine generation strategy, it builds complete 3D scenes in Blender that can be freely explored and edited object by object. The framework is powered by multiple collaborating models, including Claude Opus, GPT-Image-2, SAM3, and Hunyuan3D. It also features visual Agent-based self-checking and repair, automatically correcting contact issues such as floating objects and mesh intersections.00All tools with this tag are shown.