GitHub - rush86999/atom: Atom Agent, automate your workflows by talking to an AI — and let it remember, search, and handle tasks like a real assistant

5 min read Original article ↗

ATOM Platform

Open-Source AI Agent Platform for Self-Hosted Automation

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

Atom Platform

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

License Status

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.

Comparing alternatives? See Atom vs OpenClaw for a detailed feature comparison with other open-source AI automation platforms.


Atom vs OpenClaw: Quick Comparison

Aspect Atom OpenClaw
Best For Business automation, multi-agent workflows, enterprise governance Personal productivity, messaging-based workflows
Agent Model Multi-agent system with specialty agents Single-agent runtime
Governance ✅ 4-tier maturity (Student → Autonomous) with audit trails ❌ No maturity levels
Memory ✅ Episodic memory with graduation validation ✅ Persistent Markdown files
Integrations 46+ business (CRM, support, dev tools) 50+ personal (smart home, media, messaging)
Architecture Python + FastAPI + PostgreSQL/SQLite Node.js + local filesystem
Real-Time Visibility ✅ Canvas, operation tracking, error resolution ❌ No operation visibility
Setup Docker Compose (~15-30 min) Single script (~10-30 min)
Primary Focus Business process automation with safety guardrails Personal assistant with rapid experimentation

Full Comparison →


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
  • Episodic Memory: Agents learn from past experiences with automatic segmentation
  • Graduation Validation: Promote agents only when they demonstrate reliable performance
  • 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.
  • 9 fully implemented messaging platforms: Slack, Discord, Teams, WhatsApp, Telegram, Google Chat, Signal, Facebook Messenger, LINE
  • Proactive messaging, scheduled messages, and condition monitoring
  • Use /run, /workflow, /agents from your favorite chat app

Platform Guide → | Messaging Features →

🛠️ Dynamic Skills

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

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 →


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

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

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 ✅ Episodic memory and graduation framework ✅ Memory and knowledge graph ✅ Voice interface ✅ Docker deployment


Recent Features (February 2026)

Episodic Memory & Graduation Framework ✨ NEW

  • Experience-based learning: Agents automatically segment, store, and retrieve past experiences
  • Hybrid storage architecture: PostgreSQL (hot data) + LanceDB (cold archives) for efficient scaling
  • Four retrieval modes: Temporal (time-based), Semantic (vector search), Sequential (full episodes), Contextual (hybrid)
  • Graduation validation: Assess agent readiness using episodic memory before maturity promotions
  • Constitutional compliance: Track intervention rates and validate against governance rules
  • Use cases: MedScribe (clinical documentation), Brennan.ca (pricing validation), workflow optimization
  • Full Documentation →

Student Agent Training System

  • 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

Documentation


Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.


Support