Atom
Teach an AI employee your business. Give it work. Come back to a result.
Open-source AI employees for spreadsheets, documents and repeatable business work.
Try locally · See the workflows · What's verified · Report an issue
From instructions to finished work
Atom is a locally run AI employee workspace. Teach an employee your business rules, supply company data, and ask it to calculate, assess or prepare a deliverable. When a field or instruction is ambiguous, it asks. When work must wait, it saves its state so you can leave and continue after a restart.
- Teach and correct. Save contextual lessons, field mappings, document
- Work with unfamiliar data. Upload CSV/XLSX files, confirm ambiguous column
- Turn policy into repeatable decisions. Author ordered rules in the canvas
- Keep work moving. Durable questions, approvals and waiting states survive
- Choose your model. Configure your own provider in Settings or use a local
Try Atom locally
Prerequisites: Git, Make, Python 3.11–3.13 (3.11 recommended), Node.js 20.9+ and npm. Python 3.14 is not supported by this dependency set.
~~~bash git clone https://github.com/rush86999/atom.git cd atom PYTHON=python3.11 make setup make dev ~~~
In a second terminal, from the same atom directory:
~~~bash make sample ~~~
Open http://localhost:3001. Sign in as [email protected] using the
generated password in backend/logs/bootstrap_admin_password.txt. Open
Assignments to find the completed sample and download its Word document.
Your first result: Sample Quote Analyst reads
sample-workspace/sample_quote.csv,
calculates 232990.00, and creates a DOCX. Its lessons are editable under
Agents → Sample Quote Analyst → Training. The sample uploads local data
and creates local records/artifacts; it sends no email and needs no connected
account or cloud credential.
If the default ports are busy, use the same pair for startup and the sample:
~~~bash BACKEND_PORT=8101 FRONTEND_PORT=3101 make dev
Second terminal:
make sample PORT=8101 FE_PORT=3101 ~~~Then open http://localhost:3101. Stop the development processes with Ctrl+C;
restart with make dev against the same checkout to keep your local data.
Do not delete the database or generated keys to troubleshoot an existing install.
Measured first use: approximately 5 min 15 s on one fresh-worktree run with warm package caches, including setup, startup, sample and browser access. 15 minutes is a cold-install target, not a measured guarantee. See the setup guide and measured first-use record.
See what an employee can do
| Workflow | What the recorded acceptance demonstrates | |---|---| | Sales quote | Unfamiliar columns → confirmed mapping → source-grounded total → formatted document; corrected teaching applies to new work. | | Grant review | A second business domain uses the same teaching, calculation, clarification and artifact mechanisms. | | Workbook editing | A tested 24-sheet workbook preserves identifiers and formulas through supported recalculation, export and restart/reopen. | | Long-running assignment | More than two hours waiting, real backend restarts, the same assignment resumes, completed source work is retained and one controlled effect is recorded. | | Learn from conversations | Review a persisted email thread, resolve referenced resources, confirm a lesson and apply it only in its accepted context. |
The demo guide distinguishes reproducible steps from historical runs and lists their exact sources. The two-hour run is elapsed/recovery evidence on its recorded source; later budget repairs have their own focused verification.
What you can rely on
**111 of 123 frozen functional claims (90.2%) were accepted within the documented local and controlled-provider configurations.** This is a source-bound feature coverage milestone, not a promise of 90% accuracy or universal reliability.
| Reference | Purpose |
|---|---|
| successor-first-use-2026-11-01 | Recommended reproducible snapshot with the correctness and first-use fixes. |
| accepted-local-2026-11-01-90pct | Immutable historical acceptance reference; its later-discovered budget defect is documented. Prefer the repaired successor for use. |
| Acceptance and repairs | Exact identities, independent checks and scope. |
| Frozen feature inventory | Verified, partial and excluded claims; denominator unchanged. |
| Successor release notes | Changes from the baseline and first-use measurements. |
To use the fixed snapshot rather than development main, run
git checkout successor-first-use-2026-11-01 before make setup.
Clear boundaries
- The demonstrated local topology is single worker. Multi-worker execution
- The sample and main acceptance campaigns use local or controlled providers.
- **One specifically authorized Outlook send and Microsoft read-only ingestion
- Supported workbook formulas and taught schemas are bounded. Arbitrary Excel
- The broader platform includes workflow, routing, graph, governance and
ATOM_PRODUCT_PROFILE=full, a configured
provider or additional infrastructure. Consult the inventory before relying
on a particular feature.
Connect your own data and models
After the sample, open Settings to configure a provider and the connections you need. Provider usage and connector access depend on your account and permissions. Keep credentials out of issues, screenshots and commits.
For local inference, see Run with Ollama. For connected Office work, see Office automation and OAuth setup. Local storage does not make cloud inference private: data sent to a configured provider follows that provider's terms.
Documentation and contributing
- Documentation hub · Quick start
- Verified workflow walkthroughs
- Troubleshooting
- Architecture · Security boundaries
- Brennan business-workflow engineering orders
- Contributing · Open an issue
Atom is already public on GitHub under AGPL v3. Hosted deployment is separate from the verified local setup. If this project helps your work, star the repository, try a real workflow and tell us where it gets stuck.