fluxvla/fluxvla
An all-in-one VLA engineering platform for embodied AI — from data to real-robot deployment.
01 / MACHINE INTELLIGENCE
Models you can run. Agents you can inspect. Tools you can build on.
← All topicsAn all-in-one VLA engineering platform for embodied AI — from data to real-robot deployment.
The Open Framework for Building Agents.
Open the project to explore the idea and the code.
A smarter, self-hosted AI assistant — multi-user, multi-agent.
Pandoc for AI chats. Move ai chats across harnesses: Claude Code, Codex, OpenCode, Cursor, and more. Rust library, CLI, and WASM.
Migrate coding agent sessions across 18 harnesses (Claude Code, Codex, Pi, OpenCode, Copilot, Antigravity, Vibe, Muse, Qwen, Kimi, Cursor, etc.)
Benchmarking enterprise agents on multi-surface knowledge routing.
让 AI 用你的数据生成科研图表:108 个配方,鲜艳与稳重两种风格,多套配色,交付图片与源码。仅限个人非商业使用。
General purpose framework for multi-agent coordination
A non-linear AI agent workbench — session is a tree: branch anytime, and context follows the branch
Make AI coding agents safe to scale autonomously: assign work, cap spend, enforce policy, verify output, roll back failures, learn from loops, and prove ROI across every repo.
Cross-platform remote desktop for macOS and Windows with hardware acceleration, multi-monitor support, clipboard transfer for text, images, files and folders, and MCP integration for AI agents to connect to and control remote computers.
Open-source end-to-end omni interaction agent for natural full-duplex voice collaboration, continuous audio-visual perception, and asynchronous long-horizon agentic execution.
GRAVA: A Unified Grounded Reasoning-to-Action Framework for Autonomous Driving. Project overview.
Qwen3.8-27b and Qwen3.6-35B-A3B local inference engine for Vulkan and Metal
Terminal database client with AI chat and an MCP server
机构级研究报告 Agent Skill · 规范从 2026 年顶级机构报告实物反向提炼,42 份采集/41 份进量化基线(Stanford/McKinsey/BCG/OpenAI/PwC/World Bank 等)· 六种报告原型 + 8 种图表模式 + 可复用生产流水线 · 跨 agent 通用
Swift SDK for running chat, vision and speech models on iPhone and Mac with Apple's Core AI. Model download and caching, FoundationModels integration, and runnable examples with documented OS, SDK and model requirements.
RSIH — versionable, shareable agent harness: Pi coding agent + Genome config layer
A curated list of agent-native services and infrastructure for AI agents: email, browsers, memory, sandboxes, payments, and MCP tools. Includes selection criteria and onboarding guides.
A training-free multi-agent framework for recursive self-improvement in new environments through broad-then-deep autonomous exploration and reusable memory.
AI Agent hardware for mobile phone.
Local-first cross-session memory for DeepSeek Harness (DSH): automatic capture, Event/Element cards, evidence-gated recall, source tracing. 本地跨会话长期记忆。
Open the project to explore the idea and the code.