You ask
A task, in plain words, from the desktop app, the terminal or Telegram.
It remembers you, runs scheduled tasks, and answers from Telegram when you are away.
or install from the terminal
Hermes Agent GAIA Level 1 – 53 real-world tasks on the same model and same machine
Accuracy · GAIA Level 1
Hermes Agent 37/53 solved. Grammar-constrained decoding (GBNF) forces structurally-valid tool calls; bounded tails keep reasoning on-budget.
217s vs 351s. cache_prompt + slot_id reuse across steps, plus parallel read-only batches that overlap I/O after a single inference.
Grammar-locked actions and step-by-step checks mean Atomic Agent rarely walks into an unrecoverable wrong answer.
↻ the loop repeats – KV-cache keeps each step cheap, nothing re-sent to a server
A task, in plain words, from the desktop app, the terminal or Telegram.
One pass on your own GPU returns a list of next actions — grammar-locked, always valid.
Browser, files and shell — in parallel. Pauses for approval on risky steps.
Loops with cached context, so each step stays fast — until it replies or you stop it.
Questions or feedback? Grab 15 minutes with the team, any slot works.
Book a callthe engineering that keeps it fast, private, and running on your own machine
A byte-stable prompt prefix means every turn reuses the same cached compute. Nothing is re-encoded, and inference stays on your own hardware.
prefix ▓▓▓▓▓▓▓▓▓▓ cachedtail ░░░ re-computed────────────────────step N KV-cache HIT ✓
Grammar-constrained decoding forces structurally valid actions, even from tiny local models. How GBNF tool calling works
root ::= "[" call ("," call){0,15} "]"call ::= { "tool":…, "args":{…} }
Curated Q4 GGUF quants fit a long window on an everyday GPU.
fp16 ████████ ~24 GBq4 ██ ~6.7 GB
Recall injected in the tail, a few hundred tokens, cache intact.
SELECT content FROM memories_fts ORDER BY rank→ ~320 tokens
It pulls the backend and model for you. No accounts, no bills.
$ atomic-agent models startchat: started, healthy● on port 8080
Real production traffic: teams run Atomic Agent against cloud models through OpenRouter.
The desktop app is out for Mac, Windows and Linux. Download it here, then leave your email and we'll tell you when a new version ships.
Personal AI agent, answered.
A personal AI agent is an assistant that works for one person, learns their context over time and can act on their behalf: run tasks, use their tools, and follow up later. Atomic Agent does this on your own computer with a local memory.
Yes, through a Telegram or Discord bot. You pair Telegram once from the terminal version, then it also runs alongside the desktop app; Discord is set up from the terminal. The bot answers only you, and approvals arrive in the same chat.
In a SQLite database inside ~/.atomic-agent on your computer. You can read, back up or delete it.
Yes, partly. atomic-agent import brings over chat history and scheduled jobs from Hermes and OpenClaw. Memory and skills from those two do not transfer.
No. Atomic Agent is free and open source. A local model has no usage bill; a cloud model costs whatever that provider charges.
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