PatrickStar - A framework that enables parallel training of large pretrained models via …
A framework that enables parallel training of large pretrained models via chunk-based dynamic memory management.
Recent content in Jimmy Song 的博客 on Jimmy Song
A framework that enables parallel training of large pretrained models via chunk-based dynamic memory management.
An open-source development workflow and skills library for coding agents that emphasizes TDD, process, and verifiable automation.
An open-source accelerated engine for time-series and data-grounded AI, offering SQL queries, full-text search, and LLM inference.
An open-source autonomous development loop toolkit for Claude Code, providing session continuity, rate limiting and circuit breaker protections.
An open-source search agent for tool-augmented reasoning, supporting very long contexts and high-frequency tool calls.
An open-source Java library that provides a unified API for integrating large language models and vector databases into enterprise Java applications.
A multi-agent personalized learning system integrating RAG, knowledge graphs, and interactive visualizations.
A plugin marketplace and discovery platform for Claude Code that curates agents, commands, hooks, and plugin collections.
An open-source no-code data collaboration platform available as cloud or self-hosted deployment.
How technical standards and data sovereignty shape AI open source paths and infrastructure competition in the global AI era.
一个面向图形界面交互的智能体框架,支持从 2B 到 235B 不同规模的模型以构建真实世界任务的代理体验。
Joining Dynamia as Open Source Ecosystem VP to drive AI native infrastructure ecosystem development, transforming compute from hardware consumption to core asset.
A lightweight framework that provides persistent memory and efficient retrieval for code agents.
An open-source GPU virtualization and pooling solution that increases cluster utilization and optimizes inference workloads.
An intelligent code generation and development tool based on the OpenCode ecosystem.
An open-source ops and resource suite that builds hibernatable AI agent sandboxes on Kubernetes while cutting GPU costs.
A collection of productivity tools and plugins for Claude Code, Codex-CLI, and similar CLI coding agents.
A VoltAgent community-maintained collection of Claude Code subagents, with templates, tool permissions, and usage guidance.
A developer-focused CLI that simplifies Git worktree workflows for parallel agent and LLM-driven tasks.
An open-source platform for LLM asset and lifecycle management, offering SaaS and on-premise deployment with Python SDK compatibility.
A hands-on experience with Verdent's standalone Mac app, exploring how parallel AI agents, isolated workspaces, and task-oriented workflows change real-world development.
An AI skill that offers design intelligence and component suggestions for building professional UI/UX across multiple platforms.
A look back at the major changes in 2025: shifting from Cloud Native to AI Native infrastructure, AI tool ecosystem, and major website improvements.
Manus's acquisition by Meta sparked polarized opinions. This article explores the butterfly effect in AI applications and key lessons for entrepreneurs on growth strategies.
Automatic, persistent project context memory and retrieval for Claude, VS Code, Cursor and other tools.
A community-driven multi-agent platform for finance that offers research, strategy development, and automated trading while keeping sensitive data local.
An enterprise platform for deploying and governing MCP servers, featuring registry, runtime, gateway, and portal components.
A production-focused inference framework for large language models, offering high performance, multi-hardware support, and scalable deployment.
A local-first knowledge-as-Markdown system that lets LLMs read and write your memory via the Model Context Protocol (MCP).
A robust, low-latency Python library for realtime speech-to-text with VAD, wake-word activation, and instant transcription.
A vision-language-model driven, cross-platform UI automation framework that uses screenshots for visual localization and interaction.
Beijing and Shanghai's open source plans reveal opportunities and challenges for China's AI infrastructure, balancing technology and governance.
A desktop app that quickly builds, selects, and exports project code context for pasting into chat models or agent workflows.
In 2025, software engineering shifts from code-centric to runtime and cost governance. AI and Agents move complexity to runtime, compute, and budget layers, reshaping engineering value.
Explores why AI Agents need Kubernetes infrastructure and how Agent orchestration, MCP services, and AI gateways enable production-ready AI architectures.
A high-performance data processing and indexing framework for AI, supporting incremental processing and semantic indexing.
An open-source library from Anthropic for defining, sharing, and reusing task-oriented capability modules.
Comprehensive introduction to the AI Open Source Landscape's positioning, interface, scoring model, and data mechanisms to help developers efficiently discover quality AI projects.
Brings Kubernetes principles to agent runtimes, offering an identity-aware, observable, and scalable platform for agent microservices.
An open-source generalist agent for enterprise, supporting web/API execution, OpenAPI/MCP integrations, composable architecture, and policy-aware features.
An open-source operating system for AI agents providing runtime, tooling, and ecosystem integrations.
A framework for running AI agents in the browser with Angular and React integrations.
An open format and documentation for describing, sharing, and discovering agent skills.
A CLI-native semantic search tool for code, documents and media, with background indexing and agent integrations.
An open-source declarative UI specification and toolkit that lets agents describe renderable interfaces as safe, portable JSON.
A proof-of-concept, agent-driven quantitative research project offering backtesting, CLI, and a web app to explore AI-assisted stock selection and risk control.
A database-centric static analysis and code intelligence platform that delivers precise data-flow tracking and architecture-aware inspections.
An open-source project that provides standardized environment infrastructure for agentic AI development.
An open-source enterprise AI middleware for building production-ready agents, workflows, and RAG-enabled applications.
Capture, sync and inject session reasoning so agents start new sessions with team knowledge.
Recent content in Jimmy Song 的博客 on Jimmy Song
A framework that enables parallel training of large pretrained models via chunk-based dynamic memory management.
An open-source development workflow and skills library for coding agents that emphasizes TDD, process, and verifiable automation.
An open-source accelerated engine for time-series and data-grounded AI, offering SQL queries, full-text search, and LLM inference.
An open-source autonomous development loop toolkit for Claude Code, providing session continuity, rate limiting and circuit breaker protections.
An open-source search agent for tool-augmented reasoning, supporting very long contexts and high-frequency tool calls.
An open-source Java library that provides a unified API for integrating large language models and vector databases into enterprise Java applications.
A multi-agent personalized learning system integrating RAG, knowledge graphs, and interactive visualizations.
A plugin marketplace and discovery platform for Claude Code that curates agents, commands, hooks, and plugin collections.
An open-source no-code data collaboration platform available as cloud or self-hosted deployment.
How technical standards and data sovereignty shape AI open source paths and infrastructure competition in the global AI era.
一个面向图形界面交互的智能体框架,支持从 2B 到 235B 不同规模的模型以构建真实世界任务的代理体验。
Joining Dynamia as Open Source Ecosystem VP to drive AI native infrastructure ecosystem development, transforming compute from hardware consumption to core asset.
A lightweight framework that provides persistent memory and efficient retrieval for code agents.
An open-source GPU virtualization and pooling solution that increases cluster utilization and optimizes inference workloads.
An intelligent code generation and development tool based on the OpenCode ecosystem.
An open-source ops and resource suite that builds hibernatable AI agent sandboxes on Kubernetes while cutting GPU costs.
A collection of productivity tools and plugins for Claude Code, Codex-CLI, and similar CLI coding agents.
A VoltAgent community-maintained collection of Claude Code subagents, with templates, tool permissions, and usage guidance.
A developer-focused CLI that simplifies Git worktree workflows for parallel agent and LLM-driven tasks.
An open-source platform for LLM asset and lifecycle management, offering SaaS and on-premise deployment with Python SDK compatibility.
A hands-on experience with Verdent's standalone Mac app, exploring how parallel AI agents, isolated workspaces, and task-oriented workflows change real-world development.
An AI skill that offers design intelligence and component suggestions for building professional UI/UX across multiple platforms.
A look back at the major changes in 2025: shifting from Cloud Native to AI Native infrastructure, AI tool ecosystem, and major website improvements.
Manus's acquisition by Meta sparked polarized opinions. This article explores the butterfly effect in AI applications and key lessons for entrepreneurs on growth strategies.
Automatic, persistent project context memory and retrieval for Claude, VS Code, Cursor and other tools.
A community-driven multi-agent platform for finance that offers research, strategy development, and automated trading while keeping sensitive data local.
An enterprise platform for deploying and governing MCP servers, featuring registry, runtime, gateway, and portal components.
A production-focused inference framework for large language models, offering high performance, multi-hardware support, and scalable deployment.
A local-first knowledge-as-Markdown system that lets LLMs read and write your memory via the Model Context Protocol (MCP).
A robust, low-latency Python library for realtime speech-to-text with VAD, wake-word activation, and instant transcription.
A vision-language-model driven, cross-platform UI automation framework that uses screenshots for visual localization and interaction.
Beijing and Shanghai's open source plans reveal opportunities and challenges for China's AI infrastructure, balancing technology and governance.
A desktop app that quickly builds, selects, and exports project code context for pasting into chat models or agent workflows.
In 2025, software engineering shifts from code-centric to runtime and cost governance. AI and Agents move complexity to runtime, compute, and budget layers, reshaping engineering value.
Explores why AI Agents need Kubernetes infrastructure and how Agent orchestration, MCP services, and AI gateways enable production-ready AI architectures.
A high-performance data processing and indexing framework for AI, supporting incremental processing and semantic indexing.
An open-source library from Anthropic for defining, sharing, and reusing task-oriented capability modules.
Comprehensive introduction to the AI Open Source Landscape's positioning, interface, scoring model, and data mechanisms to help developers efficiently discover quality AI projects.
Brings Kubernetes principles to agent runtimes, offering an identity-aware, observable, and scalable platform for agent microservices.
An open-source generalist agent for enterprise, supporting web/API execution, OpenAPI/MCP integrations, composable architecture, and policy-aware features.
An open-source operating system for AI agents providing runtime, tooling, and ecosystem integrations.
A framework for running AI agents in the browser with Angular and React integrations.
An open format and documentation for describing, sharing, and discovering agent skills.
A CLI-native semantic search tool for code, documents and media, with background indexing and agent integrations.
An open-source declarative UI specification and toolkit that lets agents describe renderable interfaces as safe, portable JSON.
A proof-of-concept, agent-driven quantitative research project offering backtesting, CLI, and a web app to explore AI-assisted stock selection and risk control.
A database-centric static analysis and code intelligence platform that delivers precise data-flow tracking and architecture-aware inspections.
An open-source project that provides standardized environment infrastructure for agentic AI development.
An open-source enterprise AI middleware for building production-ready agents, workflows, and RAG-enabled applications.
Capture, sync and inject session reasoning so agents start new sessions with team knowledge.