Agent Fleet for Obsidian

Turn Obsidian into an AI-powered command center. Create autonomous agents, schedule tasks, chat in real-time, connect via Slack, and hook into any MCP service — all from your vault.

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What is Agent Fleet?

Agent Fleet is an Obsidian plugin that lets you build, configure, and run AI agents directly from your vault. Agents are powered by Claude Code CLI — works with a Claude Max/Pro subscription or Anthropic API key. Every agent, skill, task, and run log is a markdown file. If the plugin disappears, your knowledge stays.

Core Capabilities

🤖 AI Agents — Create specialized agents with system prompts, skills, permissions, heartbeat schedules, and memory. Each agent is a folder of markdown files you fully own and control.

📚 Wiki Keeper — Turn any folder in your vault into a self-maintaining wiki. Drop sources into an inbox, point at existing note folders as passive watched sources, and a scoped keeper agent ingests them nightly into an interlinked _topics/ tree with cross-references, citations, and a log. Scales from one whole-vault keeper to many project-scoped instances. Any other agent (e.g. a PM agent) can reference a keeper's scope and query or contribute to it. See the Wiki Keeper Guide.

💬 Interactive Chat — Dock a chat panel anywhere in Obsidian. Switch between agents. Attach documents and images. Send follow-up messages while the agent works. Inline threads under any assistant reply let you tangent without polluting the main thread — each thread has its own Claude session, its own context, its own stats.

📊 Live chat stats — Compact terminal-style strip under the composer shows the model and a context-usage bar so you always know where you stand on context.

📡 Slack & Telegram — Chat with your agents from Slack or Telegram. Multi-agent routing via @agent-name prefix or interactive buttons. Slack Assistants API with native "is thinking..." indicator. Telegram with inline keyboard agent picker and typing dots. Session persistence across restarts.

💓 Heartbeat — Autonomous periodic agent runs. Define what an agent does when no one is asking — monitoring, reports, health checks — with results posted to Slack.

📋 Task Board — Kanban view with scheduling, priority, real-time progress tracking, and abort. Tasks run on cron schedules or on-demand. Per-task model override lets you route a simple nightly summary to Haiku while keeping the agent on Opus.

🎛️ Model picker — Choose between aliases (opus / sonnet / haiku / opusplan — backend-agnostic), pinned IDs, or Bedrock/Vertex/Foundry formats. One place to configure: settings default, per-agent, or per-task override. Runs log both the requested alias and the concrete resolved model.

🔌 MCP Integration — Add, remove, authenticate, and inspect MCP servers from the dashboard. One-click OAuth 2.1 with automatic CLI token injection — agents can use authenticated servers immediately.

🧠 Agent Memory — Agents persist context across sessions using [REMEMBER] tags stored as markdown.

📊 Dashboard — Overview with run charts, success rates, token/cost tracking, activity timeline, fleet status, streaming output from active agents, and focused run-detail panels that lead with the final result and hide the full reasoning transcript behind a toggle.

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Quick Start

Install

Via npm (recommended):

npm install -g obsidian-agent-fleet

The installer automatically finds your Obsidian vaults and copies the plugin files.

Via BRAT:

1. Install the BRAT plugin
2. Add beta plugin: denberek/obsidian-agent-fleet
3. Enable Agent Fleet in Settings → Community Plugins

Manual:

1. Download main.js, manifest.json, styles.css from the latest release
2. Create <vault>/.obsidian/plugins/agent-fleet/
3. Copy the 3 files into that folder
4. Restart Obsidian → Enable Agent Fleet

Requirements

• Obsidian 1.6.0+ (desktop — macOS, Windows, Linux)
• Claude Code CLI — the engine behind all agent execution:

  npm install -g @anthropic-ai/claude-code
  claude  # authenticate on first run
  

• Claude subscription (Max or Pro) or Anthropic API key — Claude Code works with your existing subscription, no separate API costs. If you're already paying for Claude, you're ready to go.

First Launch

On first launch, Agent Fleet creates a _fleet/ folder in your vault:

_fleet/
├── agents/
│   └── fleet-orchestrator/    ← default agent (manages the fleet)
├── skills/                    ← 18 built-in skills
├── tasks/
├── channels/
├── runs/
└── memory/

The Fleet Orchestrator agent is ready — click Chat to ask it to create new agents, tasks, skills, or channels.

Update

npm update -g obsidian-agent-fleet

Or via BRAT: settings → check for updates.

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Features

Agents

Agents are AI assistants with specific personalities, capabilities, and permissions. Each agent is a folder in _fleet/agents/ containing markdown files:

agents/my-agent/
├── agent.md       ← Identity: name, description, system prompt
├── config.md      ← Runtime: model, timeout, permissions
├── SKILLS.md      ← Agent-specific skills
├── CONTEXT.md     ← Project context
└── HEARTBEAT.md   ← Autonomous periodic run instruction (optional)

What you can configure:

Setting	Description
Name & Description	Identity shown in the dashboard
Avatar	Lucide icon picker (1,400+ icons) or emoji
System Prompt	Core instructions that define the agent's behavior
Model	Claude Opus 4.6, Sonnet 4.6, Haiku 4.5, Bedrock models, or custom
Adapter	Claude Code (more adapters coming soon)
Working Directory	Where the agent operates (defaults to vault root)
Timeout	Max execution time in seconds
Permission Mode	bypassPermissions, dontAsk, acceptEdits, or plan
Allow/Deny Lists	Fine-grained tool control (e.g., allow Bash(curl *), deny Bash(rm -rf *))
Skills	Shared skills from the skill library
MCP Servers	Which MCP servers the agent can access
Memory	Persistent context across sessions via [REMEMBER] tags
Heartbeat	Autonomous periodic run with schedule and instruction

Permission Modes:

Mode	Behavior
bypassPermissions	Auto-runs everything except deny list
dontAsk	Only allow-listed commands run
acceptEdits	File edits auto-approved, bash blocked unless allowed
plan	Read-only — no writes, no commands

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Heartbeat

A heartbeat gives an agent autonomous behavior — what it does when no one is asking. Think periodic monitoring, daily reports, health checks, or trend analysis.

Setup: Create a HEARTBEAT.md file in the agent's folder, or configure it in the dashboard's agent edit page:

---
enabled: true
schedule: "0 */6 * * *"     # every 6 hours
notify: true                 # Obsidian notice on completion
channel: my-slack            # post results to Slack (optional)
---

Check all monitored endpoints for availability and response time.
Compare with previous checks using your memory. Report anomalies.
If everything is healthy, respond with a one-line "all clear".

Key behaviors:

• The "Run Now" button on any agent with a heartbeat uses the heartbeat instruction (no more generic fallback)
• Agent memory integration — heartbeats can use [REMEMBER] tags to track trends across runs
• Slack delivery — results automatically posted to a configured Slack channel
• Dashboard — heartbeat status shown on the agent's Overview tab with enable/disable toggle, schedule, and next run time

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Slack Channels

Chat with your agents from Slack — every message flows through the same Claude CLI session pipeline, with full tool use, session persistence, and agent memory.

📖 Step-by-step Slack setup guide → — complete walkthrough from creating the Slack app to sending your first message.

Quick overview:

1. Create a Slack app at api.slack.com with Socket Mode + Agents & AI Apps enabled
2. Add credentials in Settings → Agent Fleet → Channel Credentials
3. Create a channel via the dashboard or as _fleet/channels/my-slack.md
4. DM the bot from Slack

---
name: my-slack
type: slack
default_agent: fleet-orchestrator
allowed_agents:
  - fleet-orchestrator
  - site-monitor
  - code-reviewer
enabled: true
credential_ref: my-slack-creds
allowed_users:
  - U0AQW6P37N1
per_user_sessions: true
channel_context: |
  You are being contacted via Slack. Keep replies concise.  
---

Features:

• Socket Mode — outbound WebSocket, works behind NAT/firewalls, no public URL needed
• Slack Assistants API — native "is thinking..." indicator, threaded conversations, thread titles
• Multi-agent routing — type @agent-name: message to switch agents mid-thread. Each agent gets its own isolated session. /agents slash command lists available agents.
• Session persistence — conversations survive Obsidian restarts via claude --resume
• Idle hibernation — subprocess eviction after configurable idle time, transparent resume on next message
• Allowlist — only approved Slack users (by user ID) can reach the bot
• Rate limiting — per-conversation sliding window to prevent budget burn
• Markdown → mrkdwn — automatic formatting conversion with fence-aware chunking for long replies

Important: Obsidian must be running for channels to work. When Obsidian is closed, the bot goes offline.

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Telegram

Chat with your agents from Telegram — simpler setup than Slack, no @mention required in DMs.

Setup:

1. Create a bot via @BotFather — /newbot, pick a name and username, copy the token
2. Add the token in Settings → Agent Fleet → Channel Credentials (type: Telegram)
3. Create a channel via the dashboard or as _fleet/channels/my-telegram.md
4. Message the bot in Telegram

Features:

• Zero dependencies — long-poll via HTTPS, no WebSocket, no SDK
• Typing indicator — typing... dots while the agent works (auto-refreshed every 4.5s)
• Inline keyboard agent picker — /agents command shows interactive buttons to switch agents
• Slash command autocomplete — commands registered automatically via setMyCommands
• Agent name prefix — replies show [agent-name] when multiple agents are configured
• Group chat support — add the bot to groups (disable privacy mode via BotFather for full access)
• Forum topics — enable Threaded Mode in BotFather for topic-based conversations
• Session persistence — conversations survive Obsidian restarts via claude --resume
• 4096-char message splitting — long replies automatically chunked at paragraph boundaries

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Interactive Chat

The chat panel is a first-class Obsidian view — dock it in the sidebar, center, or any split.

Features:

• Agent Switcher — dropdown to switch between agents instantly. Each agent has its own conversation.
• Session Persistence — conversations survive Obsidian restarts via Claude CLI --resume
• Bidirectional Streaming — send follow-up messages while the agent is working. Steer it mid-task.
• Document Attachment — click + to attach the active document. Agent gets the full content; you see a compact pill.
• Image Paste & Drop — paste from clipboard or drag images into chat. Saved to vault, passed to Claude.
• Stop Button — + button becomes ■ while agent works. Click to abort.
• Streaming Markdown — responses render in real-time with syntax highlighting
• Code Block Copy — hover any code block for a copy button
• Tool Activity — see which tools the agent is using in real-time

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Task Board

A kanban view for managing agent tasks with five columns:

Column	Description
Backlog	Tasks with no schedule, waiting to be run manually
Scheduled	Tasks with a cron schedule, enabled and waiting
Running	Currently executing — shows real-time progress bar tied to timeout
Done	Completed today
Failed	Failed, timed out, or cancelled today

Task features:

• Priority — low / medium / high / critical (color-coded left border)
• Real-time Progress — progress bar shows elapsed time vs timeout, updates every second
• Stop Button — red ■ on running cards to abort (shows as "Cancelled", not "Failed")
• Cron Scheduling — human-friendly picker (daily, weekdays, weekly, monthly, custom)
• Catch Up If Missed — auto-run overdue tasks when Obsidian opens
• Run Now — execute any task immediately regardless of schedule
• Drag & Drop — move tasks between backlog and scheduled columns

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MCP Servers

Add, remove, authenticate, and manage MCP servers directly from the dashboard — no terminal needed.

Add Server UI:

• Click "Add Server" on the MCP page to open the form
• stdio — command, arguments, environment variables
• HTTP / SSE — URL, API key (stored securely), custom headers
• Scope selection (user or local) — defaults to "user" so servers are visible across projects
• Servers appear immediately after adding, with tools auto-discovered

Remove Server:

• Open any server's detail slideover → click "Remove Server"
• Cleans up CLI registration and stored secrets in one step

Discovery:

• stdio servers — spawned and probed directly via JSON-RPC (~1-2s)
• HTTP/SSE servers — probed with OAuth tokens for full tool schemas
• Plugin metadata — descriptions from Claude's plugin directory

OAuth 2.1 Authentication:

One-click browser-based auth with unified CLI token injection:

1. Click "Authenticate" on any server card
2. Plugin discovers OAuth endpoints automatically
3. Registers via Dynamic Client Registration
4. Opens browser for approval (PKCE flow)
5. Tokens stored securely in OS keychain (macOS Keychain, Windows Credential Manager, Linux Secret Service)
6. Token automatically injected into Claude CLI config — agents can use the server immediately without separate CLI authentication
7. Background token refresh — expiring tokens are refreshed and re-injected automatically

Server Management:

• Enable/disable toggle per server (writes to Claude's settings)
• Server cards show status, tool count, type, description
• Detail slideover with full tool list, descriptions, input schemas, parameters
• Assign MCP servers to specific agents in the agent editor

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Skills

Reusable instruction sets that agents share. Each skill is a folder:

skills/my-skill/
├── skill.md          ← Core instructions
├── tools.md          ← CLI/API tool documentation
├── references.md     ← Background docs
└── examples.md       ← Few-shot examples

18 Built-in Skills:

Skill	Description
agent-fleet-system	Full knowledge of the Agent Fleet plugin
algorithmic-art	Generative art with p5.js
canvas-design	Visual art, posters, static designs as PNG/PDF
claude-api	Build apps with Claude API and Anthropic SDKs
doc-coauthoring	Structured co-authoring workflow for documentation
docx	Create, read, edit Word (.docx) files
frontend-design	Production-grade web UIs and components
internal-comms	Status reports, newsletters, incident reports
mcp-builder	Build MCP servers for LLM-to-service integration
pdf	Read, create, merge, split, OCR PDF files
pptx	Create, read, edit PowerPoint (.pptx) files
skill-creator	Create, evaluate, and optimize skills
slack-gif-creator	Animated GIFs optimized for Slack
taste-skill	Senior UI/UX engineering for frontend design
frontend-slides	HTML presentation creation
And more...

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Dashboard

The main overview with:

• Stat Cards — active agents, runs today, tokens used (with cost), scheduled tasks
• Run Activity Chart — 14-day bar chart with green (success), yellow (cancelled), red (failure)
• Success Rate Donut — overall success percentage
• Active Agent Cards — fixed-height streaming output from running agents with agent→task title
• Activity Timeline — recent runs with status, duration, tokens
• Fleet Status — agent list with quick-run capability

Sidebar navigation:

• Dashboard / Agents / Tasks Board / Run History / Approvals / Skills / MCP Servers / Channels

Agent detail page tabs:

• Overview (stats, heartbeat status, skills, permissions, recent runs)
• Config (all settings, system prompt, heartbeat instruction)
• Runs (full history for this agent)
• Memory (learned context)

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Agent Memory

Agents persist context across sessions:

1. Agent includes [REMEMBER]important context[/REMEMBER] in its output
2. Extracted and appended to _fleet/memory/<agent-name>.md
3. Injected into the agent's prompt on every future run
4. Memory is agent-scoped — shared across all conversations including Slack channels

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Run History

Every execution is logged in _fleet/runs/YYYY-MM-DD/:

---
run_id: abc123
agent: fleet-orchestrator
task: daily-report
status: success
started: 2026-04-03T09:00:00
completed: 2026-04-03T09:02:30
duration_seconds: 150
tokens_used: 4500
cost_usd: 0.07
model: claude-opus-4-6
tags: [heartbeat]
---

## Prompt
...

## Output
...

## Tools Used
...

Click any run in the dashboard to see full details in a slideover panel.

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Configuration

Plugin Settings

Setting	Default	Description
Fleet Folder	_fleet	Root folder for all fleet data
Claude CLI Path	claude	Path to Claude Code CLI
Default Model	default	Default model for new agents. Pick Default / Alias (opus/sonnet/haiku/opusplan) / Custom (manual ID for Bedrock/Vertex/etc.)
AWS Region	us-east-1	For AWS Bedrock model support
Max Concurrent Runs	2	Parallel task execution limit
Run Log Retention	30 days	Auto-cleanup old logs
Catch Up Missed Tasks	true	Run overdue tasks on startup
Notification Level	all	all, failures-only, none

Security

All secrets — MCP OAuth tokens, API keys, and channel credentials (Slack/Telegram) — are stored in your OS keychain via Obsidian's SecretStorage API. On first load after updating to v0.6.0, existing plaintext credentials are automatically migrated from data.json to the keychain and the plaintext copies are cleared.

Requires Obsidian 1.11.4+ for keychain support. On older versions, credentials remain in data.json with a console warning.

Channel Settings

Setting	Default	Description
Max Concurrent Sessions	5	Live claude subprocesses across all channels
Idle Timeout	15 min	Hibernate sessions after inactivity
Rate Limit	20 msgs / 5 min	Per-conversation sliding window

File Structure

All data lives in _fleet/ as plain markdown:

_fleet/
├── agents/           Agent folders (agent.md, config.md, HEARTBEAT.md, etc.)
├── skills/           Shared skill folders (skill.md, tools.md, etc.)
├── tasks/            Task files with frontmatter
├── channels/         Channel bindings (Slack, etc.)
├── runs/             Execution logs by date
│   └── YYYY-MM-DD/
├── memory/           Agent memory files
└── chat-images/      Images pasted into chat

Everything is searchable, version-controllable, and fully yours.

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FAQ

Q: Do I need an API key? Not necessarily. Agent Fleet works with your Claude Max or Pro subscription via Claude Code CLI. No separate API key or billing. If you prefer, you can also use an Anthropic API key directly.

Q: Does it work without internet? No — agents need the Claude API to run. But all your data (agents, tasks, skills, memory) is local markdown.

Q: Can I use different models per agent or per task? Yes. Each agent has its own model setting, and you can override it per task (e.g. keep the agent on Opus but run a simple nightly summary task on Haiku to cut cost). Supports Anthropic direct, AWS Bedrock, Google Vertex, Foundry, and Mantle. Aliases opus / sonnet / haiku / opusplan work on every backend — pick those unless you need a pinned version. Resolution order: task → agent → settings → Claude CLI default.

Q: What happens if I delete the plugin? Your _fleet/ folder stays. All agents, tasks, skills, run logs, and memory are plain markdown files in your vault.

Q: Can multiple agents run at the same time? Yes, up to maxConcurrentRuns (default 2). Additional tasks queue until a slot opens.

Q: Does the chat remember previous conversations? Yes. Each agent has persistent chat sessions that survive Obsidian restarts via Claude CLI --resume.

Q: Does the Slack bot work when Obsidian is closed? No. The bot runs inside Obsidian via Socket Mode — when Obsidian is closed, the bot goes offline. Slack buffers messages briefly during short disconnects.

Q: Can I use multiple agents in Slack or Telegram? Yes. Type @agent-name: message to switch agents, or use /agents to get interactive buttons. Each agent maintains its own session. Works in both Slack and Telegram.

Q: Which is easier to set up — Slack or Telegram? Telegram. Create a bot via @BotFather (30 seconds), paste the token, create a channel. Slack requires creating an app with Socket Mode, scopes, events, and reinstalls after scope changes.

Q: What is a heartbeat? An autonomous periodic run — what an agent does on a schedule without user input. Configured via HEARTBEAT.md in the agent's folder. Results can be posted to Slack or Telegram automatically.

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Links

• Slack Setup Guide
• Releases
• npm package
• Report Issues

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MIT License — © 2026 Denis Berekchiyan