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InceptionProgram

Personal AI Agent

It remembers you, runs scheduled tasks, and answers from Telegram when you are away.

or install from the terminal

Atomic Agent desktop app: a chat where the agent writes a shopping list file after you approve it

Atomic Agent VS Hermes Agent

GAIA Level 1 – 53 real-world tasks on the same model and same machine

Accuracy · GAIA Level 1

Atomic Agent
★ Winner 69.8%
Hermes Agent
58.5%
+11.3pp More accurate

37/53 solved. Grammar-constrained decoding (GBNF) forces structurally-valid tool calls; bounded tails keep reasoning on-budget.

1.6× Faster per task

217s vs 351s. cache_prompt + slot_id reuse across steps, plus parallel read-only batches that overlap I/O after a single inference.

15 vs 9 Often right

Grammar-locked actions and step-by-step checks mean Atomic Agent rarely walks into an unrecoverable wrong answer.

Read more

how it works

↻ the loop repeats – KV-cache keeps each step cheap, nothing re-sent to a server

/01

You ask

A task, in plain words, from the desktop app, the terminal or Telegram.

/02

Local model decides

One pass on your own GPU returns a list of next actions — grammar-locked, always valid.

/03

It runs them

Browser, files and shell — in parallel. Pauses for approval on risky steps.

/04

Repeat → done

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 call

features

the engineering that keeps it fast, private, and running on your own machine

KV-CACHE

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  ✓
GBNF

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":{…} }
TURBOQUANT

Curated Q4 GGUF quants fit a long window on an everyday GPU.

fp16  ████████  ~24 GBq4    ██        ~6.7 GB
SQLITE MEMORY

Recall injected in the tail, a few hundred tokens, cache intact.

SELECT content  FROM memories_fts  ORDER BY rank→ ~320 tokens
LLAMA.CPP

It pulls the backend and model for you. No accounts, no bills.

$ atomic-agent models startchat: started, healthy● on port 8080

Connected
to 1000+ apps

Bring your daily tools into one assistant, through Composio

Use cases

files · sort
INV
IMG
ZIP
  • Scanning ~/Downloads · 318 files
  • Reading docs for real titles
  • Grouping → /Invoices /Shots
  • Renamed 212 · deduped 7
files, folders, done Sorts, renames, groups, and cleans your files — reading each one to understand it first.
cron · watch
BTC/USD64,210 ▲
NEWS llama.cpp v0.5 ships
MATCHARS 1–1 CHE
→ @you
  • Cron · every 30m
  • BTC $63,420 (+2.1%)
  • Arsenal 2–1 · 78’
  • Pinged Telegram ✓
cron in, Telegram out Schedule a recurring check — markets, news, match scores — and get a Telegram ping only when something changes.
git · triage
acme/api main
cloning…
#42 NullRef on init
PR #128
  • Cloning acme/api
  • Reading issue #214
  • Found in loader.go:88
  • PR fix-214 ready ✓
issue in, PR out Clones a repo, reads an issue, finds the cause in the code, and opens a fix on a branch — pausing before it pushes.
browse · note
wikiarxiv.org
PDF
note.md source: arxiv ✓ saved to memory
  • Browsing 6 sources
  • Parsing 2 PDFs
  • Extracting · 12 cites
  • Note saved · searchable ✓
browse, read, save Drives a real browser across sources, reads PDFs and pages, and writes a cited note into your local memory.
Run Agent GitHub

any model, local or cloud

Atomic Agent on OpenRouter
Visit

Real production traffic: teams run Atomic Agent against cloud models through OpenRouter.

Total tokens 72.9M
Models used 32
Active since May 2026

Get new releases
by email

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.

EMAIL ADDRESS

FAQ

Personal AI agent, answered.

  • What is a personal AI agent?

    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.

  • Can I talk to it from my phone?

    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.

  • Where does it keep what it learns about me?

    In a SQLite database inside ~/.atomic-agent on your computer. You can read, back up or delete it.

  • Can I move from Hermes or OpenClaw?

    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.

  • Does it cost anything?

    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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