Dana: The World’s First Agentic OS

Build deterministic expert agent easily with Dana.

A complete Expert Agent Development Toolkit: Agentic out of the box. Grounded in domain expertise.

Why Dana?

Most frameworks make you choose:

Too rigid → narrow, specialized agents.
Too generic → LLM wrappers that fail in production.
Too much glue → orchestration code everywhere.

Dana gives you the missing foundation:

Deterministic → flexible on input, consistent on output — reliable results every run.
Contextual → built-in memory and knowledge grounding let agents recall, adapt, and reason with domain expertise.
Concurrent by default → non-blocking execution; agents run tasks in parallel without threads or async code.
Composable workflows → chain simple steps into complex, reproducible processes that capture expert know-how.
Local → runs on your laptop or secure environments, ensuring privacy, speed, and mission-critical deployment.
Robust → fault-tolerant by design, agents recover gracefully from errors and edge cases.
Adaptive → agents learn from feedback and evolving conditions, improving performance over time.

Install and Launch Dana

💡 Tip: Always activate your virtual environment before running or installing anything for Dana.

# Activate your virtual environment (recommended)
source venv/bin/activate  # On macOS/Linux
# or
venv\Scripts\activate     # On Windows

pip install dana
dana studio # Launch Dana Agent Studio
dana repl # Launch Dana Repl

For detailed setup (Python versions, OS quirks, IDE integration), see Tech Setup.

What’s Included in v0.5

Agent Studio

Turn a problem statement into a draft expert agent with three parts — agent, resources, workflows. Studio generates a best-match workflow and lets you extend it with resources (documents, generated knowledge, web search) or edit workflows directly.

Agent-Native Programming Language

A Python-like .na language with a built-in runtime that provides agentic behaviors out of the box — concurrency, knowledge grounding, and deterministic execution — so you don’t have to wire these up yourself.

What this means for you: You can build and iterate on expert agents faster, with less setup and more confidence they’ll run reliably in production.

Full release notes → v0.5 Release.

First Expert Agent in 4 Steps

Define an Agent
```
agent RiskAdvisor
```

Add Resources

resource_financial_docs = get_resources("rag", sources=["10-K.pdf", "Q2.xlsx"])

Follow an Expert Workflow

def analyze(...): return ...
def score(...): return ...  
def recommend(...): return ...

def wf_risk_check(resources) = analyze | score | recommend

result = RiskAdvisor.solve("Identify liquidity risks", resources=[resource_financial_docs], workflows=[wf_risk_check])

print(result)

Run or Deploy

dana run my_agent.na       # Run locally
dana deploy my_agent.na    # Deploy as REST API

Learn More

Core Concepts → Agents, Resources, Workflows, Studio.
Reference → Language syntax and semantics.
Primers → Deep dives into Dana language design.

Community

🐞 Issues
💬 Discuss on Discord

Enterprise support

Contact Aitomatic Sales

License

Dana is released under the MIT License.
© 2025 Aitomatic, Inc.

Release files for dana 0.6.0.3.post3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dana 0.6.0.3.post3
File	Size	Uploaded
dana-0.6.0.3.post3.tar.gz	10.8 MB	Nov 25, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for dana 0.6.0.3.post3
File	Interpreter	ABI	Platform	Reset
dana-0.6.0.3.post3-py3-none-any.whl 11.7 MB Nov 25, 2025	Python 3	none	any	Details

Total release size: 22.5 MB

Release files / dana-0.6.0.3.post3.tar.gz

Download URL	dana-0.6.0.3.post3.tar.gz
Size	10.8 MB
Tags	Source
SHA-256 checksum How to use checksums	`e817f2c55d587bf577fc56cd6408d57b89d85f8e4ff266c960d3f241f9ccca24`
BLAKE2b-256 checksum How to use checksums	`6998e73653f6d2743ea4293c0043cb7a49989c16ab43b27972c720031cecf285`
Upload date	Nov 25, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.12.2`

Release files / dana-0.6.0.3.post3-py3-none-any.whl

Download URL	dana-0.6.0.3.post3-py3-none-any.whl
Size	11.7 MB
Tags	Python 3
SHA-256 checksum How to use checksums	`f5ca3589bb81769abfb8033a3246a14bcc8406eb85a407ee39308d1ef4dfedd3`
BLAKE2b-256 checksum How to use checksums	`f7b08260d71546e7b80fa995512d6c7cacb4aa3b68cee7e650a29d973fd05154`
Upload date	Nov 25, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.12.2`