kbot
Open-source terminal AI agent. 35 agents. 600+ tools. 20 providers. Science, finance, security, and more.
If kbot is useful to you, consider starring the repo — it helps others discover the project.
npm install -g @kernel.chat/kbot| Package | What it is | npm | Source |
|---|---|---|---|
| @kernel.chat/kbot | Open-source terminal AI agent — 100+ skills, multi-provider, BYOK, MIT | npm i -g @kernel.chat/kbot |
packages/kbot/ |
| @kernel.chat/kbot-finance | Audit-grade AI infrastructure for capital markets — content-addressed envelopes, hash-chained audit log, regulatory verifier, MCP server. Apache 2.0 | npm i @kernel.chat/kbot-finance |
packages/kbot-finance/ |
| @kernel.chat/agent-os | 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 | npm i @kernel.chat/agent-os |
packages/agent-os/ |
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.
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.
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 authkbot 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 |
| 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 |
| 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.
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)
}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]
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.
| Command | What it does |
|---|---|
kbot |
Interactive REPL |
kbot "prompt" |
One-shot execution |
kbot auth |
Configure API key |
kbot local |
Use local AI (Ollama, embedded, LM Studio, Jan) |
kbot serve |
Start HTTP REST + SSE streaming server |
kbot audit <repo> |
Security + quality audit of any GitHub repo |
kbot contribute <repo> |
Find good-first-issues and quick wins |
kbot share |
Share conversation as GitHub Gist |
kbot pair |
File watcher with auto-analysis |
kbot team |
Multi-agent TCP collaboration |
kbot record |
Terminal session recording (SVG, GIF, asciicast) |
kbot voice |
Text-to-speech output mode |
kbot watch |
Real-time file analysis on change |
kbot bootstrap |
Outer-loop project optimizer (visibility scoring) |
kbot plugins |
Search, install, update community plugins |
kbot models |
List, pull, remove, catalog local models |
kbot changelog |
Generate changelog from git history |
kbot completions |
Shell completions (bash, zsh, fish) |
kbot cloud |
Sync learning data to kernel.chat |
kbot ide mcp |
Start MCP server for IDEs |
kbot doctor |
10-point health check |
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 scripting- 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)
cd packages/kbot
npm install
npm run dev # Run in dev mode
npm run build # Compile TypeScript
npm run test # Run tests (vitest)kbot has a web companion at kernel.chat — same agents, persistent memory, and a visual interface. Free to use (20 messages/day).
- Web: kernel.chat
- npm: @kernel.chat/kbot
- Discord: discord.gg/kdMauM9abG
- GitHub: isaacsight/kernel
- Issues: Report a bug
