github.devotd.

Explore by field

Every tracked project, organized by what it does. Pick a field, then narrow down.

  1. Model Inference 30

    Reusable engines, serving systems, kernels, caches, and utilities executing trained models. Classify the main delivered component first: management utilities, memory mechanisms, or kernels rather than a bundled engine. For complete engines, precedence is production or distributed serving, constrained-device execution, Apple-specific local engines, other hardware-specific local engines, modality-focused engines, then portable local engines. Hardware support or multimodal support alone does not establish specialization. Excludes model artifacts, training tools, agent loops, and end-user authoring applications.

  2. Agent Systems 23

    Reusable infrastructure for building and operating AI agents: runtimes, memory, context, tools, skills, coordination, and deployment. Reusable agent memory and general skill catalogs remain here even when coding-focused. Excludes complete end-user assistants, interaction-focused interfaces, coding agents and coding-specific workspaces, orchestration or client extensions, physical robot control, model execution, and security-primary tools.

  3. Coding Agents 12

    Products primarily enabling agent-driven software development, including coding agents, workspaces, orchestration, governance, and extensions. Executable multi-agent delivery belongs under orchestration; methods and governance under workflows. Excludes general agent infrastructure, generic developer tools, security-primary products, and model engines; coding specialization alone does not relocate reusable memory or general skill catalogs.

  4. Developer Tools 11

    General software-development tools and programming references, plus conventional engineering, office, and design utilities. This is a residual branch: products whose primary purpose fits any specialized L1 belong there, including databases, automation, language tools, coding agents, model tooling, AI security, and generative media.

  5. Model Engineering 10

    Tools and methods for model training, offline compression, general evaluation, analysis, provenance, and access routing. Compression-oriented distillation belongs under model-compression-and-quantization; general adaptation under training. Excludes model releases, runtime execution, and security-primary analysis or evaluation, which belong under ai-security.

  6. AI Security 8

    AI security and safety products, including agent, skill, MCP, and model defenses. Safety-measuring benchmarks and harnesses go to ai-safety-evaluation; attack-generation tooling to ai-red-teaming; other skill-package security to skill-security-and-updates; other MCP-specific defense to mcp-security; other enforcement to runtime-and-endpoint-security. Excludes general capability evaluation and compatibility-focused reverse engineering.

  7. Agent Interfaces 6

    Interaction surfaces and browser or desktop control agents whose primary purpose is directing, observing, or executing user-directed interactions. Excludes reusable agent runtimes, complete personal assistants, integrated application workspaces, coding products, and physical robot control.

  8. Generative Media 6

    User-facing applications and authoring workflows for generating, editing, or producing images, video, speech, audio, animation, and virtual characters. Excludes model artifacts under open-models, reusable execution engines under llm-inference, training infrastructure under model-engineering, ordinary players, and complete productivity assistants with incidental avatars.

  9. Retrieval and Documents 5

    Software that ingests, parses, searches, retrieves, and organizes documents or knowledge for AI applications; long-term conversational memory belongs under Agent Systems › Agent Memory, not here.

  10. Open models 4

    Publicly released model artifacts, weights, and checkpoints; open does not imply an OSI-approved license. Classify by primary task: embeddings or reranking first, then specialized speech/audio or image/video tasks, then general multimodal models, then text/code language models. Genuinely mixed releases may use this parent. Excludes robot-specific embodied models, reusable execution engines, training tools, and authoring applications.

  11. AI Applications 3

    Complete personal assistants, professional domain applications, and integrated AI application workspaces. Specialized primary purposes take precedence: coding, media production, language work, retrieval, security, and physical robotics belong in their dedicated L1s. Excludes reusable agent infrastructure and interface-only frontends. Within this branch, a dominant personal or professional purpose takes precedence over workspace packaging.

  12. Embodied AI 2

    Models, agents, simulation, telemetry, and control systems primarily for physical robots or embodied interaction. Robot-specific model artifacts belong here rather than open-models. Excludes general media world models without a physical-control purpose, digital-only browser or desktop agents, and generic device bridges.

  13. Language Tools 2

    Language tools for Korean processing, translation, writing assistance, and human-language learning; excludes programming education (Developer Tools › Programming education and reference).

  14. Other 1

    Projects or articles whose primary purpose or topic fits no specialized L1. Use only after reviewing every specialized branch; missing evidence requires review rather than automatic assignment here. Excludes all items with a clear specialized fit.