ATOM Platform

Open-Source AI Agent Platform for Self-Hosted Automation

Developer Note: For technical setup and architecture, see docs/DEVELOPMENT.md.

Automate your workflows by talking to an AI — and let it remember, search, and handle tasks like a real assistant.

What is Atom?

Atom is an open-source, self-hosted AI agent platform that combines visual workflow builders with intelligent LLM-based agents.

Just speak or type your request, and Atom's specialty agents will plan, verify, and execute complex workflows across your entire tech stack.

Key Difference: Unlike SaaS alternatives, Atom runs entirely on your infrastructure. Your data never leaves your environment.

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Key Features

🎙️ Voice Interface

• Build complex workflows using just your voice
• Natural language understanding — no proprietary syntax to learn
• Real-time feedback as Atom visualizes its reasoning

🤖 Specialty Agents

• Sales Agent: CRM pipelines, lead scoring, outreach
• Marketing Agent: Campaigns, social posting, analytics
• Engineering Agent: PR notifications, deployments, incidents
• Governance: Agents progress from "Student" to "Autonomous" as they gain trust

🎨 Canvas Presentations & Agent Guidance ✨ NEW

• Rich interactive presentations (charts, forms, markdown)
• Real-time operation visibility: See exactly what agents are doing in plain English
• Multi-view orchestration (browser, terminal, canvas)
• Smart error resolution with actionable suggestions
• Complete transparency and governance integration

Full Details →

🔍 Browser & Device Automation

• Browser automation via CDP (web scraping, form filling)
• Device control (camera, location, notifications, terminal)
• Governance-first: all actions require appropriate maturity level

🧠 Universal Memory & Context

• Capability Recall: Agents remember your connected services
• Unified Index: Search emails, docs, tickets, and Slack instantly
• Knowledge Graph: Understands relationships, not just keywords
• Privacy First: API keys and PII automatically encrypted

🛡️ Agent Governance System

• Agents progress from 'Student' → 'Autonomous' based on performance
• Maturity-based routing: Student agents blocked from automated triggers
• AI-powered training: Personalized learning scenarios with duration estimation
• Sensitive actions require approval until confidence is high
• Every action logged, timestamped, and traceable
• Real-time supervision for learning agents

🔌 Deep Integrations

• 46+ pre-built integrations: Slack, Gmail, HubSpot, Salesforce, etc.
• Multi-platform bridge: 12+ platforms (Slack, WhatsApp, Discord, Teams, etc.)
• Use /run, /workflow, /agents from your favorite chat app

🛠️ Dynamic Skills

• Agents build new tools on-the-fly
• Skill Runner UI to test and execute agent skills
• Real-time streaming execution

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Quick Start

Fastest way (Docker):

git clone https://github.com/rush86999/atom.git
cd atom
docker-compose up -d

Access at: http://localhost:3000

Detailed Setup →

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Example Use Cases

Department	Scenario
Sales	New lead in HubSpot → Research company → Score lead → Slack the account executive
Finance	PDF invoice in Gmail → Extract data → Match against QuickBooks → Flag discrepancies
Support	Zendesk ticket arrives → Analyze sentiment → Route urgent issues → Draft response
HR	New employee in BambooHR → Provision Google account → Invite to Slack → Schedule orientation

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Security & Privacy

• Self-Hosted Only: Your data never leaves your environment
• BYOK: Bring your own OpenAI, Anthropic, Gemini, or DeepSeek keys
• Encrypted Storage: Sensitive data encrypted at-rest (Fernet)
• Audit Logs: Every agent action logged and traceable
• Human-in-the-Loop: Configurable approval policies

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What's Included

✅ Complete backend (FastAPI) + frontend (Next.js) + desktop app (Tauri) ✅ 46+ pre-built integrations ✅ Multi-platform communication bridge (12+ platforms) ✅ Agent governance and maturity system ✅ Memory and knowledge graph ✅ Voice interface ✅ Docker deployment

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Recent Features (February 2026)

Student Agent Training System ✨ NEW

• Maturity-based routing: Prevents STUDENT agents from automated triggers
• AI training proposals: Personalized learning with duration estimation
• Real-time supervision: Monitor SUPERVISED agents with intervention controls
• Action proposals: INTERN agents require human approval before execution
• Confidence boosting: Performance-based maturity progression
• Full Documentation →

Canvas & Agent Guidance System

• Real-time operation tracking with plain English explanations
• Multi-view orchestration (browser, terminal, canvas)
• Smart error resolution with learning feedback
• Interactive permission/decision requests

Recording & Governance Integration ✨ NEW

• Auto-recording: Autonomous agents automatically record sessions for governance
• AI-powered review: Analyzes recordings to update agent confidence
• Learning loop: Successful/failed patterns feed into world model
• Confidence scoring: Approved actions increase confidence, failures decrease it
• Full audit trail for compliance

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Documentation

• Development Guide - Technical setup and architecture
• Student Agent Training - Maturity-based routing system
• Canvas Implementation - Canvas system details
• Agent Governance - Maturity levels and approvals
• Recording System - Recording and playback
• Review Integration - Governance & learning

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Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

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Support

• Documentation: docs/ directory
• Issues: GitHub Issues
• License: AGPL v3 - See LICENSE.md

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Built with ActivePieces | LangChain | FastAPI | Next.js

Experience the future of self-hosted AI automation.

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