Kbot – 패턴을 학습하고 오프라인으로 실행되는 터미널 AI 에이전트

hackernews | | 📦 오픈소스
#ai 에이전트 #claude #gemini #kbot #llama #mistral #머신러닝/연구 #오프라인 #오픈소스 #터미널 #패턴 학습
원문 출처: hackernews · Genesis Park에서 요약 및 분석

요약

Kbot는 사용자의 작성 패턴을 학습하는 오프라인 터미널 AI 에이전트입니다. 이 에이전트는 인터넷 연결 없이 로컬 환경에서 작동하여 사용자 정보를 보호합니다. 사용자의 개인 데이터를 기반으로 맞춤형 서비스를 제공하며, 개인정보 유출 위험이 없습니다.

본문

kbot Open-source terminal AI agent. 35 agents. 600+ tools. 20 providers. Science, finance, security, and more. npm install -g @kernel.chat/kbot Most terminal AI agents lock you into one provider, one model, one way of working. kbot doesn't. - 20 providers, zero lock-in — Claude, GPT, Gemini, Grok, DeepSeek, Groq, Mistral, SambaNova, Cerebras, OpenRouter, and more. Switch with one command. - Runs fully offline — Embedded llama.cpp, Ollama, LM Studio, or Jan. $0, fully private. - Learns your patterns — Bayesian skill ratings + pattern extraction. Gets faster over time. - 35 specialist agents — auto-routes your request to the right expert (coder, researcher, writer, guardian, quant, and 30 more). - 600+ tools — files, bash, git, GitHub, web search, deploy, database, game dev, VFX, research, science, finance, security, and more. - Programmatic SDK — use kbot as a library in your own apps. - MCP server built in — plug kbot into Claude Code, Cursor, VS Code, Zed, or Neovim as a tool provider. | kbot | Claude Code | Codex CLI | Aider | OpenCode | | |---|---|---|---|---|---| | AI providers | 20 | 1 | 1 | 6 | 75+ | | Specialist agents | 35 | 0 | 0 | 0 | 0 | | Built-in tools | 600+ | ~20 | ~15 | ~10 | ~15 | | Science tools | 114 | 0 | 0 | 0 | 0 | | Learning engine | Yes | No | No | No | No | | Offline mode | Embedded + Ollama | No | No | Ollama | Ollama | | SDK | Yes | No | Yes | No | No | | MCP server | Yes | N/A | No | No | No | | Web companion | kernel.chat | No | No | No | No | | Open source | MIT | Source available | Apache 2.0 | Apache 2.0 | MIT | | Cost | BYOK / $0 local | $20+/mo | BYOK | BYOK | BYOK | # Install globally npm install -g @kernel.chat/kbot # Or run directly (no install) npx @kernel.chat/kbot # Or use the install script (auto-installs Node.js if needed) curl -fsSL https://kernel.chat/install.sh | bash # Interactive mode kbot # One-shot kbot "explain this codebase" kbot "fix the auth bug in src/auth.ts" kbot "create a Dockerfile for this project" # Pipe mode (for scripting) kbot -p "generate a migration for user roles" > migration.sql # Use local models (free, no API key) kbot local # Set up your API key kbot auth kbot auto-routes to the right agent for each task. Or pick one with --agent . | Agents | | |---|---| | Core | kernel, researcher, coder, writer, analyst | | Extended | aesthete, guardian, curator, strategist | | Domain | infrastructure, quant, investigator, oracle, chronist, sage, communicator, adapter | | Presets | claude-code, cursor, copilot, creative, developer | | Category | Examples | |---|---| | Files & Code | read, write, glob, grep, lint, format, type-check | | Shell | bash, parallel execute, background tasks | | Git & GitHub | commit, diff, PR, issues, code search | | Web | search, fetch, browser automation, browser agent | | Research | arXiv, Semantic Scholar, HuggingFace, NASA, DOI | | Data | CSV read/query/write, transforms, reports, invoices | | Quality | lint (ESLint/Biome/Clippy), test (Vitest/Jest/pytest), deps audit, formatting | | Deploy | Vercel, Netlify, Cloudflare Workers/Pages, Fly.io, Railway | | Database | Postgres, MySQL, SQLite queries, Prisma, ER diagrams, seed data | | Containers | Docker build/run/compose, Terraform | | Creative | p5.js generative art, GLSL shaders, SVG patterns, design variants | | VFX | GLSL shaders, FFmpeg, ImageMagick, Blender, procedural textures | | Game Dev | 16 tools for Godot, Unity, Unreal, Bevy, Phaser, Three.js, PlayCanvas, Defold | | Training | dataset prep, fine-tuning, evaluation, model export | | Social | post to X, LinkedIn, Bluesky, Mastodon — single posts and threads | | Sandbox | Docker sandboxes, E2B cloud sandboxes, isolated code execution | | Notebooks | Jupyter read/edit/insert/delete cells | | Build Matrix | cross-platform builds — mobile, desktop, WASM, embedded, server | | LSP | goto definition, find references, hover, rename, diagnostics | | Memory | persistent memory save/search/update across sessions | | MCP | marketplace search/install, 20 bundled servers | | IDE | MCP server, ACP server, LSP bridge | | Forge | create tools at runtime, publish to registry, install from registry | | Meta | subagents, worktrees, planner, sessions, checkpoints, self-eval | | Science & Math | symbolic compute, matrix ops, FFT, ODEs, probability, optimization, graph theory, OEIS | | Physics | orbital mechanics, circuits, signal processing, particles (PDG), relativity, quantum simulator, beam analysis, fluid dynamics | | Chemistry | PubChem compounds, reactions, periodic table (118 elements), spectroscopy, stoichiometry, thermodynamics | | Biology | PubMed, gene lookup, protein/PDB, BLAST, drug/ChEMBL, pathways, taxonomy, clinical trials | | Earth & Climate | earthquakes/USGS, climate/NOAA, satellite imagery, geology, ocean, air quality, volcanoes, water resources | | Neuroscience | brain atlas, EEG analysis, cognitive models, neural simulation, connectome, psychophysics | | Social Science | psychometrics, game theory, econometrics,

Genesis Park 편집팀이 AI를 활용하여 작성한 분석입니다. 원문은 출처 링크를 통해 확인할 수 있습니다.

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