hubzoid 0.4.4

An open-source framework for production AI agents.

An open-source framework for production AI agents.
_{Defined in markdown. Deployed inside your perimeter. The substrate behind Hubzoid customer deployments.}

---

hubzoid reads AGENTS.md, agents/, skills/, and knowledge/ from a folder and turns it into a running AI agent. Backed by the OpenAI Agents SDK or the Claude Agent SDK, served over an OpenAI-compatible HTTP API, and chattable through a bundled Open WebUI front end.

You write the markdown. hubzoid handles the runtime, the API, the UI, the streaming, and the sub-agent routing. Provider-agnostic via LiteLLM: OpenRouter, OpenAI, Anthropic, and local Claude work out of the box.

Quickstart

3 steps if you have claude CLI installed and logged in, 4 otherwise.

Python 3.11 or 3.12 (Open WebUI does not yet support 3.13+). On recent macOS, the default python3 is too new; create your venv with python3.12 -m venv explicitly. If pip tries to build av (PyAV) from source, run brew install pkg-config ffmpeg first.

pip install hubzoid
hubzoid init my-hub                    # minimal runnable hub + agents-repo wrapper
*  edit my-hub/.env                    # ← optional. skip if using claude-local.
hubzoid run my-hub

Open http://localhost:3080. You get a generic assistant with one example of every Hubzoid surface (one skill, one knowledge file, one sub-agent, one custom tool) so the folder layout is obvious. Edit my-hub/AGENTS.md to make it yours.

Want the guided tour instead? Add --template demo to get a Hubzoid Guide agent that explains the framework as you chat:

hubzoid init my-hub --template demo
hubzoid run my-hub

* Step 3 (the optional one). Default MODEL=claude-local uses your installed claude CLI subscription. If you already ran claude login, skip this step and go straight to hubzoid run. Otherwise, open demo-hub/.env, comment out the MODEL=claude-local line, and uncomment one of the provider stanzas (OpenRouter, OpenAI, Anthropic) with your key pasted in.

The two files you edit later as you customize:

1. demo-hub/.env: keys, model selection, UI knobs.
2. demo-hub/AGENTS.md: the system prompt body. YAML frontmatter sets name, description, and optional model.

How it works

┌─────────────────────────────┐
│  Open WebUI                 │  http://localhost:3080
│  (web chat, white-label)    │
└──────────────┬──────────────┘
               │ OpenAI-compatible HTTP
┌──────────────┴──────────────┐
│  FastAPI bridge             │  /v1/chat/completions  /v1/models
└──────────────┬──────────────┘
               │ in-process
┌──────────────┴──────────────┐
│  Agent runtime              │  OpenAI Agents SDK  |  Claude Agent SDK
└──────────────┬──────────────┘
               │ LiteLLM (or claude CLI subprocess)
┌──────────────┴──────────────┐
│  Your model                 │  OpenRouter · OpenAI · Anthropic · claude-local
└─────────────────────────────┘

One install command. Open WebUI, the Claude Agent SDK, the OpenAI Agents SDK, LiteLLM, and FastAPI are all bundled as required dependencies. No optional extras for the runtime.

A minimal AGENTS.md

---
name: code-reviewer
description: Reviews a code diff. Ranks the top three issues by severity.
model: openrouter/anthropic/claude-haiku-4.5
---

You review code. When the user pastes a diff or a file, identify the top
three issues ranked by severity: correctness first, then security, then
readability.

For each issue, cite the line number and explain the fix in one sentence.
Skip style nits unless the user asks for them. If the code looks clean,
say so in one line and stop.

That is the whole hub. One file. No sub-agents, no skills, no knowledge needed. Drop it in a folder, run hubzoid run ., and you have a code reviewer at http://localhost:3080.

Editing your hub

Your hub is one folder. Six things to know.

1. Pick your model. Default .env uses MODEL=claude-local (no key needed if claude login is done). To switch to OpenRouter / OpenAI / Anthropic, uncomment a stanza in .env and paste a key.
2. Write the main agent. Open AGENTS.md. The body is the system prompt. YAML frontmatter sets name, description, optional model, and optional suggestions: (a list of quick-start prompts shown as buttons on the empty chat screen).
3. Sub-agents. One folder per sub-agent under agents/. Each has its own AGENTS.md. Frontmatter tools: [...] whitelists which tools the sub-agent may call.
4. Skills. One folder per playbook under skills/, each with a SKILL.md. The main agent loads them on demand via load_skill(name).
5. Knowledge. One markdown file per topic under knowledge/. Reached via read_knowledge(name).
6. Tools and connectors. Drop Python files with @function_tool in tools_local/. Edit connectors/.mcp.json to plug in MCP servers.
7. Unstructured data. Drop code repos, document dumps, or any source material into raw_data/. The agent searches it with grep_data and reads specific files with read_file. No indexing step — the folder ships with the hub.

Folder names are case- and plural-flexible. skills/, Skills/, and skill/ all work. Same for agents/, knowledge/, tools_local/, connectors/, raw_data/. Restart with the same command. Changes are picked up on the next start.

Multi-hub agents repo

Run hubzoid init more than once in the same directory and you get a Samarth-style multi-hub layout with one parent requirements.txt:

mkdir my-agents && cd my-agents
hubzoid init devops-agent       # creates ./devops-agent + ./requirements.txt + ./.gitignore + ./README.md
hubzoid init support-agent      # creates ./support-agent only; parent files left alone
hubzoid init research-agent     # creates ./research-agent only

Each hub is independent: its own .env, its own port, its own user database. The parent files are written only on the first init in a fresh directory (empty or containing only dotfiles / README / requirements.txt / LICENSE). Idempotent and non-destructive afterward.

Providers

Pick one stanza in .env. See docs/providers.md for more detail.

# OpenRouter (one key, many models)
OPENROUTER_API_KEY=sk-or-v1-...
MODEL=openrouter/anthropic/claude-haiku-4.5

# OR OpenAI
OPENAI_API_KEY=sk-...
MODEL=openai/gpt-4o-mini

# OR Anthropic
ANTHROPIC_API_KEY=sk-ant-...
MODEL=anthropic/claude-haiku-4-5

# OR Claude local (uses your installed `claude` CLI + Pro/Max subscription)
# Requires `claude login` first. No API key needed.
MODEL=claude-local              # defaults to Haiku 4.5 (~3x faster TTFT than Sonnet)
# MODEL=claude-local/sonnet     # opt in to Sonnet
# MODEL=claude-local/opus       # opt in to Opus
# MODEL=claude-local/haiku      # explicit; same as bare `claude-local`

The MODEL string tells LiteLLM which provider to call, and the matching key must be set. The exception is MODEL=claude-local: instead of LiteLLM, hubzoid drives the Claude Agent SDK against your locally installed claude CLI, so auth and billing flow through your existing Pro/Max subscription. Same hub folder, same tools, same skills. Only the LLM and auth path differ.

Latency note on claude-local. Requests go through the Claude Code CLI, which adds ~1-2s per turn of harness overhead. If latency matters more than subscription billing, use anthropic/... or openrouter/anthropic/... with an API key — same models, no harness.

OpenRouter tip. If using openrouter/anthropic/*, pin Anthropic as the preferred provider at openrouter.ai/settings/preferences (with fallbacks allowed). Hubzoid uses Anthropic prompt caching for ~70% input-cost savings on multi-turn chats, but each upstream (Anthropic, Vertex, Bedrock) has a separate cache pool, so cross-provider routing fragments cache hits.

Pre-shipped tools

Every hub gets these tools for free.

Tool	What it does
read_file(path)	Read a file under the hub directory.
list_files(glob)	List files matching a glob.
write_artifact(filename, content)	Write a file under output/<session>/.
list_skills()	Menu of skills in the hub.
load_skill(name)	Read a skill's full body on demand.
list_knowledge()	Menu of knowledge documents.
read_knowledge(name)	Read a knowledge document's full body.
render_jinja(template, context_json)	Render a Jinja2 template.
http_get(url)	Fetch a URL (honors HTTP_ALLOWLIST, disable with HUBZOID_DISABLE_HTTP_GET=true).
web_search(query)	DuckDuckGo search. No API key. Disable with HUBZOID_DISABLE_WEB_SEARCH=true.
current_time(zone)	ISO 8601 timestamp in the given IANA timezone (default UTC).

Custom tools dropped into tools_local/*.py are auto-discovered.

MCP connectors

MCP connectors are per-hub. Each hub has its own <hub>/connectors/.mcp.json alongside its AGENTS.md. Two hubs in the same agents-repo connect to completely different MCP servers because each loads its own config independently. There is no parent-level shared MCP file by design: agents are independent products with their own scope.

Edit demo-hub/connectors/.mcp.json (or whatever your hub is named):

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": ["@modelcontextprotocol/server-filesystem", "./workspace"]
    },
    "github": {
      "command": "npx",
      "args": ["@modelcontextprotocol/server-github"],
      "env": {"GITHUB_PERSONAL_ACCESS_TOKEN": "${GH_TOKEN}"}
    }
  }
}

${VAR} references in any string field resolve against the environment at boot. The same .mcp.json is honored by both the OpenAI Agents and Claude Agent runtimes.

Branding and UI

Hubzoid passes ~24 env vars to Open WebUI to strip platform surfaces (community sharing, code interpreter, multi-model arena, etc.) so the UI reads as a single product. All flags are overridable from .env.

Per-hub identity has three knobs:

Surface	Source
Top-bar name + tab title	WEBUI_NAME in .env (cascades to agent name, then "Hubzoid")
Logo, favicon, splash	Drop files in <hub>/branding/ (case-insensitive, multi-extension)
Quick-start prompts on the empty chat screen	suggestions: field in AGENTS.md frontmatter

Full reference, including the override list for all 24 OWUI flags: docs/branding.md.

Authentication

Default is single-user with no login - one user, localhost, no friction. For multi-user or production, set WEBUI_AUTH=true and pick email + password or an SSO provider: Google, Microsoft, GitHub, generic OIDC (Okta, Auth0, Keycloak), or LDAP. Each agent runs its own user database, so adding a user to one agent does not grant access to the others.

Full walkthrough including the Google Cloud Console click-path and the env vars for every provider: docs/auth.md.

Deploying to production

hubzoid run is the production entry point. Wrap it in systemd (or a container) and put a reverse proxy in front for TLS. Set HUBZOID_PUBLIC_URL=https://your.host in <hub>/.env so write_artifact download links resolve. Full walkthrough: docs/DEPLOYING.md.

Slack chat surface

Run any hub as a Slack bot. Users @mention it in a channel, DM it, or chat from Slack's AI-assistant sidebar — same agent, same skills, same knowledge, same .env. Uses Socket Mode, so no public URL or inbound firewall changes are required.

hubzoid slack manifest my-hub > /tmp/manifest.json   # paste into api.slack.com
# drop SLACK_BOT_TOKEN and SLACK_APP_TOKEN into my-hub/.env, then one of:
hubzoid run my-hub --slack       # inline with the bridge + UI (one terminal)
hubzoid slack run my-hub         # or as a separate process (prod / systemd)

Full walkthrough (manifest, install, tokens, updating an existing app, production systemd unit, troubleshooting): docs/slack.md.

CLI

hubzoid init [NAME]              Scaffold a new hub folder under the current directory.
                                   NAME defaults to "demo-hub".
                                   Also drops requirements.txt / .gitignore / README.md
                                   at the parent on first run if the directory looks fresh.
  --template, -t NAME              Which bundled template. "minimal" (default) =
                                     tiny runnable hub. "demo" = full guided tour
                                     with the Hubzoid Guide agent.
hubzoid run [PATH]               Start the FastAPI bridge plus Open WebUI for a hub.
  --port INT                       Open WebUI port (default 3080).
  --bridge-port INT                FastAPI bridge port (default 8000).
  --no-ui                          Bridge only, no Open WebUI.
  --slack, -s                      Also start the Slack adapter inline.
                                     Soft-warns if SLACK_BOT_TOKEN / SLACK_APP_TOKEN
                                     are missing; bridge + UI still come up.
hubzoid doctor [PATH]            Validate hub config and report issues.
hubzoid test [PATH]              Send one prompt to the agent and print the response.
hubzoid slack run [PATH]         Run the hub as a Slack bot (Socket Mode). See docs/slack.md.
hubzoid slack manifest [PATH]    Print a Slack App Manifest (JSON by default).
hubzoid slack systemd [PATH]     Print a systemd unit for the Slack adapter.
hubzoid version
hubzoid --help

PATH defaults to . for run / doctor / test. python -m hubzoid ... also works as an alternative invocation.

Run from source

For contributors or anyone who wants to read or extend the framework code.

git clone https://github.com/hubzoid/hubzoid.git
cd hubzoid
python -m venv .venv && source .venv/bin/activate
pip install -e '.[dev]'
hubzoid run demo-hub

The repo ships with demo-hub/ at the root as a working starter. Its .env is git-ignored but the template includes sensible defaults (MODEL=claude-local).

Open standards

Spec	Used at
AGENTS.md	<hub>/AGENTS.md, <hub>/agents/<n>/AGENTS.md
SKILL.md	<hub>/skills/<n>/SKILL.md
MCP	<hub>/connectors/.mcp.json

Hubs are portable across any tool that adopts these specs (Claude Code, Cursor, Codex, Copilot, Gemini CLI, VS Code).

Roadmap

• v0.2 Current. PyPI release with bundled Open WebUI + Claude Agent SDK; OpenAI Agents and Claude Agent runtimes; AGENTS.md, SKILL.md, MCP loaders; OpenRouter, OpenAI, Anthropic, claude-local providers.
• v0.3 Per-hub branding, auth-on path, native-venv production deployment docs, Playwright UI test tier.
• v0.4 Slack chat surface (shipped — hubzoid slack run, see docs/slack.md). Background and scheduled workflows via WaveAssist Cloud (separate product, opt-in).
• Later Telegram chat surface. Mem0 / Zep memory backends.

Non-goals: voice and realtime, visual agent builder.

Hubzoid as a service

This is the open-source framework. hubzoid.com is the consulting practice that deploys role-scoped hubs for mid-enterprise organizations in six weeks, fixed scope, fixed price. The framework is the substrate; the practice ships the deployment.

Contributing

See CONTRIBUTING.md. Issues and PRs welcome.

License

MIT.