by rush86999
Atom Agent, Open-Source Governed AI Agent Platform for Self-Hosted Automation
# Add to your Claude Code skills
git clone https://github.com/rush86999/atomLast scanned: 5/7/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-05-07T06:36:18.685Z",
"semgrepRan": false,
"npmAuditRan": false,
"pipAuditRan": true
}atom is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by rush86999. Atom Agent, Open-Source Governed AI Agent Platform for Self-Hosted Automation. It has 864 GitHub stars.
Yes. atom passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/rush86999/atom" and add it to your Claude Code skills directory (see the Installation section above).
atom is primarily written in Python. It is open-source under rush86999 on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh atom against similar tools.
No comments yet. Be the first to share your thoughts!
⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
88% of AI agent pilots never reach production.* Atom is built for the other path.
*Industry figure (Turion 2026). Atom makes no claims about its own deployments.
Atom is an open-source, self-hosted AI agent workforce — a team of specialty agents (sales, support, finance, engineering) that your people delegate to in plain language. Where other platforms sell agent capability, Atom sells agent accountability: autonomy that is earned through verified outcomes, executed inside a deterministic safety net, on your hardware.
Agents that earn trust, not assume it. Atom's agents don't just respond to commands — they operate autonomously within governed boundaries, handling routine work end-to-end. Every agent starts as a supervised intern and graduates through a 4-tier maturity model (STUDENT → INTERN → SUPERVISED → AUTONOMOUS) only after verified successful runs — 10/25/50 episodes, outcome-checked, not self-reported.
Verified outcomes, not self-report. Every mutating action is re-derived against your system of record by an independent postcondition oracle (on by default), and confidence is split into self-reported vs externally verified. An agent that says "done" is checked, not believed. A prompt-injected agent at any tier acts at that tier's scoped blast radius — bounded by a default-on sandbox layer: filesystem scope, tool whitelist, tripwires, resource caps, kill-run, egress allowlist, full provenance audit. 0.027ms P99 per check.
Your data stays yours. Workflow data, agent state, and memory live on your infrastructure — embedded store, no cloud required. LLM inference uses your own API keys (BYOK, encrypted at rest) — or local models (Ollama first-class, or any local OpenAI-compatible server: LM Studio, vLLM, llama.cpp server) for fully private deployments. EU AI Act data-governance obligations (Aug 2026)? Designed for, not retrofitted.
Free edition, full features (AGPL v3): everything in this repository — every agent, integration, and governance feature — is free and open source. Keys you configure in .env are treated as BYOK and are never gated by plans or tiers. Commercial/managed editions run this same code on the client's own infrastructure; there is no closed-source "pro" build.
💰 Budget-friendly AI agents: OpenCode Go subscription (~90% savings vs pay-per-token) — one $10/mo key unlocks general-purpose models (DeepSeek V4, Kimi K3, GLM 5.2, MiniMax M3, Qwen 3.7, Nemotron 3 Ultra, Grok 4.5) with full tool-calling & structured output — not just for coding, works for any agent workload. Setup guide →
No lock-in: 16+ LLM providers (OpenAI, Anthropic, DeepSeek, Gemini, MiniMax, Groq…) with automatic cost-aware routing, fallback, and self-healing — every run makes the next run cheaper (learning router + caching tiers).
The vision: every employee gets a personal agent team that knows their workflows, remembers context across weeks, and autonomously handles the repetitive work — research, data entry, drafting, reconciliation — while governance keeps you in control. Not AI replacing humans: AI handling the work humans shouldn't be doing.
Receipts: 0.027ms P99 governance checks (repo benchmark) · 616k ops/s cached throughput · 69+ documented TDD hardening rounds (~1,100 fixes in the deep security sweep alone) · 85k+ test functions (84,737 across 2,759 files, verified Aug 2026). External stats sourced in docs/marketing/RESEARCH_NOTES.md; copy kit in COPY_README.md + POSITIONING.md.
Clone to first governed workflow in ~10 minutes. Start small — one workflow, one integration, one approval gate.
git clone https://github.com/rush86999/atom.git && cd atom
make setup # one-shot dev bootstrap (venv, deps, .env, frontend)
make backend # full backend on :8001
# in a second terminal:
make frontend # Next.js UI on :3001
To use LLM features, set one key in backend/.env (or add via Settings > AI):
OPENCODE_API_KEY for low-cost subscription coding models (~90% savings, recommended) orOPENAI_API_KEY / ANTHROPIC_API_KEY / DEEPSEEK_API_KEY / GOOGLE_API_KEY … orATOM_LOCAL_ONLY=true + OLLAMA_BASE_URL=http://localhost:11434/v1 for fully localExpected result: open http://localhost:3001 → sign in as admin@example.com (password in backend/logs/bootstrap_admin_password.txt) → describe a workflow in plain language and watch it build with an approval gate before anything ships.
Full Quick Start → · Docker → · DigitalOcean 1-Click →
Solo operator? Skip setup — import a pre-built personal starter (invoice chase, candidate pipeline, support triage), each with an approval gate so nothing sends without your OK: Personal → Team Playbook →
Describe the outcome. Atom builds and runs the workflow.
| What you say | What Atom delivers |
|---|---|
| "When a lead comes in HubSpot, research the company, score it, create an Asana task for the rep, and ping Slack" | A governed, replayable workflow with Human-in-the-Loop approval gates |
| "Extract invoice data from Gmail PDFs, match against QuickBooks, flag discrepancies" | End-to-end pipeline: Gmail → PDF OCR → QuickBooks reconciliation → Slack alert |
| "Monitor Zendesk tickets for sentiment, auto-escalate urgent ones, draft replies" | Real-time triage agent with approval before send |
| "Generate a weekly sales report from Salesforce, format in Excel, email the team" | Scheduled workflow: SOQL query → formula-evaluated Excel → Office 365 send |
Why it's different from Zapier/Make/n8n:
Workflow Automation Guide → · Quick Start →
| 🧵 Consumer Assistants | 🧰 Developer Frameworks | 🏢 Enterprise Workforce | |
|---|---|---|---|
| Examples | ChatGPT, Claude, Notion AI, Copilot, Perplexity | LangGraph, AutoGPT, CrewAI, AutoGen | ✅ Atom |
| Interaction | Single chat, reactive only | Code-first, build-your-own | Delegate to agent teammates in plain language |
| Data & hosting | Cloud-only | Self-hosted; bring your own integrations | Self-hosted + 46+ native business integrations |
| Governance | None | DIY | Governed by design |
Atom is the only open-source platform that delivers:
| Alternative | Focus | Key Difference | Deep Dive |
|---|---|---|---|
| Hermes Agent (Nous Research) | Personal coding/productivity assistant | Single-agent, no governance, no integrations, no sandbox | Atom vs Hermes → |
| OpenClaw | Personal productivity, messaging-first | Single-agent, Markdown memory, smart home focus | Atom vs OpenClaw → |
| LangGraph / CrewAI / AutoGen | Developer frameworks | Code-first, build-your-own governance & integrations | Why Atom? ↓ |
| Zapier / Make / n8n | Workflow automation | Step-based (not agents), no reasoning, no governance | AI-Generated Workflow Automation |
TL;DR: If you're evaluating personal agents → Hermes/OpenClaw. If you need governed multi-agent business automation → Atom.
Full feature matrix: Why Teams Choose Atom ↓
| Category | Features |
|---|---|
| 🤖 Multi-Agent Orchestration | Queen Agent (structured workflows) + Fleet Admiral (open-ended tasks) + Conductor (5 execution strategies) + validated state |