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.
What is Atom?
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.
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