kernelchat/kbot
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npm install -g @kernel.chat/kbotThis repo ships three packages
Package | What it is | npm | Source |
Open-source terminal AI agent — 100+ skills, multi-provider, BYOK, MIT |
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Audit-grade AI infrastructure for capital markets — content-addressed envelopes, hash-chained audit log, regulatory verifier, MCP server. Apache 2.0 |
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POSIX for AI agents — ten OS-level primitives: signed capability tokens (acap), namespaces, per-agent quotas (ulimit-tok), taint-tracked exec (chexec), content-addressed audit, downscoped handoff, snapshot, credential vault, rubric-graded outcomes. Runs above Modal-class sandboxes, below MCP/A2A. Apache 2.0 |
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Plus this repo also serves kernel.chat — the editorial magazine documenting the rise of provenance engineering as a discipline. ISSUE 381 — On Provenance — declares the magazine's five-year throughline. See packages/kbot-finance/ROLE.md for the field definition.
The stack, end-to-end
your AI agent → @kernel.chat/agent-os (permissions, quotas, audit, vault)
│
├─→ @kernel.chat/kbot (the agent itself)
└─→ @kernel.chat/kbot-finance (regulated-industry verifier)agent-os is the OS-level substrate; kbot is one tenant of that OS; kbot-finance is the compliance verifier those tenants call when the work is regulated. Open core throughout, with commercial offerings downstream.
Why 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.
How it compares
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 |
Quick Start
# 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 authSpecialists
kbot auto-routes to the right agent for each task. Or pick one with --agent <name>.
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 |
600+ Tools
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, social network analysis, survey design, voting systems |
Humanities | corpus analysis, formal logic, argument mapping, ethics frameworks, historical timelines, stylometry |
Health & Epidemiology | SIR/SEIR models, epidemiology calculations, disease surveillance, nutrition, vaccination modeling |
Finance | market data, technical analysis, paper trading, DeFi yields, wallet & swaps, stock screener, sentiment |
Cybersecurity | dep_audit, secret_scan, ssl_check, headers_check, cve_lookup, port_scan, owasp_check |
Self-Defense | memory HMAC, prompt injection detection, knowledge sanitization, forge verification, anomaly detection |
20 Providers
Provider | Cost | Local? |
Embedded (llama.cpp) | Free | Yes |
Ollama | Free | Yes |
LM Studio | Free | Yes |
Jan | Free | Yes |
DeepSeek | $0.27/M in | Cloud |
SambaNova | $0.50/M in | Cloud |
Cerebras | $0.60/M in | Cloud |
Groq | $0.59/M in | Cloud |
NVIDIA NIM | $0.80/M in | Cloud |
Together AI | $0.88/M in | Cloud |
Fireworks AI | $0.90/M in | Cloud |
Google (Gemini) | $1.25/M in | Cloud |
Mistral | $2.00/M in | Cloud |
OpenAI (GPT) | $2.00/M in | Cloud |
Cohere | $2.50/M in | Cloud |
Anthropic (Claude) | $3.00/M in | Cloud |
xAI (Grok) | $3.00/M in | Cloud |
Perplexity | $3.00/M in | Cloud |
OpenRouter | varies | Cloud |
kbot local | Free | Yes |
Set any provider's env var and kbot auto-detects it. Or run kbot auth for interactive setup.
SDK
import { agent, tools, providers } from '@kernel.chat/kbot'
const result = await agent.run("fix the auth bug", { agent: 'coder' })
console.log(result.content)
for await (const event of agent.stream("explain this code")) {
if (event.type === 'content_delta') process.stdout.write(event.text)
}Architecture
graph TD
A[User Message] --> B{Local-first check}
B -->|file, git, grep| C[Instant response — $0]
B -->|Needs AI| D{Complexity detection}
D -->|Simple| E[Bayesian Router → Specialist]
D -->|Multi-step| F[Autonomous Planner]
E --> G[Provider API + Tool Loop]
F --> G
G --> H{600+ Tools}
H --> I[File ops, bash, git, GitHub, search, deploy, DB, game dev...]
G --> J[Learning Engine]
J --> K[Patterns + Solutions + User Profile]
G --> L[Checkpointing]
L --> M[Resume from last tool call]MCP Server
Use kbot as a tool provider inside any MCP-compatible IDE:
{
"mcp": {
"servers": {
"kbot": { "command": "kbot", "args": ["ide", "mcp"] }
}
}
}Or run via Docker:
docker run -i --rm kernelchat/kbot ide mcpWorks with Claude Code, Cursor, VS Code, Windsurf, Zed, Neovim.
Commands
Command | What it does |
| Interactive REPL |
| One-shot execution |
| Configure API key |
| Use local AI (Ollama, embedded, LM Studio, Jan) |
| Start HTTP REST + SSE streaming server |
| Security + quality audit of any GitHub repo |
| Find good-first-issues and quick wins |
| Share conversation as GitHub Gist |
| File watcher with auto-analysis |
| Multi-agent TCP collaboration |
| Terminal session recording (SVG, GIF, asciicast) |
| Text-to-speech output mode |
| Real-time file analysis on change |
| Outer-loop project optimizer (visibility scoring) |
| Search, install, update community plugins |
| List, pull, remove, catalog local models |
| Generate changelog from git history |
| Shell completions (bash, zsh, fish) |
| Sync learning data to kernel.chat |
| Start MCP server for IDEs |
| 10-point health check |
Power-User Flags
kbot --architect "design the auth system" # Architecture mode — plan before code
kbot --thinking "solve this hard problem" # Extended reasoning with thinking budget
kbot --self-eval "write a parser" # Self-evaluation loop — scores and retries
kbot --computer-use "fill out this form" # Computer use — controls mouse and keyboard
kbot -p "query" > output.txt # Pipe mode — clean output for scriptingSecurity
API keys encrypted at rest (AES-256-CBC)
Destructive operations require confirmation
Shell commands sandboxed with blocklist
Tool execution timeout (5 min) with middleware pipeline
Config files restricted to owner (chmod 600)
0 P0/P1 security issues (audited March 2026)
Development
cd packages/kbot
npm install
npm run dev # Run in dev mode
npm run build # Compile TypeScript
npm run test # Run tests (vitest)Web Companion — kernel.chat
kbot has a web companion at kernel.chat — same agents, persistent memory, and a visual interface. Free to use (20 messages/day).
Community
Web: kernel.chat
npm: @kernel.chat/kbot
Discord: discord.gg/kdMauM9abG
GitHub: isaacsight/kernel
Issues: Report a bug
License
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Maintenance
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