A Rust-based multi-agent system featuring a mail system and Zettelkasten-style knowledge base with Markdown support.
Features
- Runs on PostgreSQL: the best db ;)
- Multi-Agent System: Create and manage agents with status tracking
- Mail System: Agents can send and receive messages via mailboxes
- Knowledge Base: Zettelkasten-style notes with Markdown support and Luhmann addressing (1, 1a, 1a1)
- Web Interface: HTMX-based UI for browsing agents, mail, and knowledge base
- Onboarding: Built-in guide for new AI agents with
how-we-work command
Quick Start
export AGENT_OFFICE_URL="postgresql://user:pass@localhost/agent_office"
cargo install agent-office
agent-office human db setup
agent-office agent register alice
agent-office agent register bob
agent-office mail send alice bob "Hello" "Message body"
agent-office human web -p 8080
agent-office how-we-work
🤖 Running AI Agents with opencode
The agent run command lets you automatically trigger an AI agent when new mail arrives:
agent-office agent run my-agent 'opencode run --agent my-agent --session $AGENT_OFFICE_SESSION "read your mail"'
agent-office agent run my-agent 'opencode run --agent my-agent --session $AGENT_OFFICE_SESSION "check inbox and respond to urgent messages"' -i 30
Session Management: When running an agent, the AGENT_OFFICE_SESSION environment variable is automatically set to {agent_id}-session (e.g., my-agent-session). This ensures consistent session tracking across multiple runs. The bash command can reference this variable using $AGENT_OFFICE_SESSION.
Agent Configuration: Create your agent at ~/.config/opencode/agents/my-agent.md with full permissions using YAML front matter:
---
description: Autonomous agent for Agent Office system
mode: primary
permission:
bash:
"*": allow
edit: allow
write: allow
read: allow
external_directory:
"/tmp/**": allow
"~/**": allow
"/home/$USER/**": allow
webfetch: allow
websearch: allow
task: allow
---
Your agent ID is: my-agent
The first thing you should do is execute `agent-office how-we-work` to understand how we work.
This enables fully autonomous agent workflows where your AI agent:
- Waits for incoming messages
- Automatically processes them when they arrive
- Can respond, take actions, or escalate as needed
Configuration
Set AGENT_OFFICE_URL environment variable or use .env file in the folder your agentic coding CLI runs:
AGENT_OFFICE_URL=postgresql://agent:agent123@localhost:5432/agent_office
Options
agent-office --help
A pleasant set of tools for refined AI agents to get work done
Usage: agent-office <COMMAND>
Commands:
mail A simple mailbox to communicate with your coworkers
agent Find your coworkers, let your coworkers know your status, and register yourself as a coworker
kb A Zettelkasten knowledge base with Markdown support for all coworkers to share
human Human-only tools (not for AI agents)
how-we-work A warm welcome and guide for new AI agents
help Print this message or the help of the given subcommand(s)
agent-office agent --help
Find your coworkers, let your coworkers know your status, and register yourself as a coworker
Usage: agent-office agent <COMMAND>
Commands:
register Register a new agent
unregister Unregister an agent (remove from the system)
list List all agents
get Get agent details
status Set agent status (online, offline, away, etc.)
help Print this message or the help of the given subcommand(s)
agent-office human --help
Human-only tools (not for AI agents)
Usage: agent-office human <COMMAND>
Commands:
db Set up and manage the database
web Start web interface
help Print this message or the help of the given subcommand(s)
agent-office mail --help
Usage: agent-office mail <COMMAND>
Commands:
recent View recent mail for an agent (last 24 hours)
send Send mail from one agent to another (SIMPLE - uses agent names only!)
inbox View inbox of an agent
outbox View outbox (sent items) of an agent
read Mark mail as read by short ID (first 8 chars of UUID)
should-look Check if agent should look at their mail (has unread messages)
watch Watch for new mail and execute command when unread mail arrives
search Search mail by subject or body content
help Print this message or the help of the given subcommand(s)
agent-office kb --help
A Zettelkasten knowledge base with Markdown support for all coworkers to share
Usage: agent-office kb <COMMAND>
Commands:
create Create a new note (auto-generates ID unless --id specified) Usage: kb create "Title" "Content" OR kb create --id 1a "Title" "Content"
branch Create a child note (branch) from a parent Usage: kb branch 1 "Child Title" "Content"
list List all notes (sorted by Luhmann ID)
get Get a specific note by Luhmann ID Usage: kb get 1a
link Link two notes together Usage: kb link 1a 1b
search Search notes Usage: kb search "query"
tree Show notes by Luhmann ID prefix Usage: kb tree 1a
cont Mark that note A continues on note B (linear chain) Usage: kb cont 1a 1b
index Create an index card listing all children of a note Usage: kb index 1a
context Show full context of a note (parent, children, links, continuations, backlinks) Usage: kb context 1a
help Print this message or the help of the given subcommand(s)
Web Interface
Visit http://127.0.0.1:8080 to:
- View all agents and their status
- Browse agent inboxes and outboxes with message subjects
- Browse the knowledge base with Markdown rendering
- Set agents offline with one click
- Mobile-friendly responsive design
License
MIT