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Poka is an open-source, self-hosted workspace for running a personal AI agent. Its creator designed it to keep conversations, credentials and execution on hardware you control, and to pause for your approval before any higher-risk action such as a shell command or a file change. The project’s own repository labels it “Active development / prototype,” so treat it as a design you can inspect and test, not a finished product whose security has been independently verified.
What Poka is
Poka is a personal AI agent workspace. It combines a chat interface, tool use, approval workflows, app connectors and optional computer automation in one application you run yourself. The creator describes it as local-first: the goal is more control over conversation data, provider credentials and what the agent is allowed to execute. The creator’s DEV Community article, dated October 1, 2026, frames the project as a personal motivation rather than a commercial launch: “That is why I created Poka.”
How the project is built
The repository lists the following components:
- Client: Next.js 15 with React 19.
- Backend: FastAPI.
- Storage: SQLite.
- Optional runtime: Docker with Playwright, used for the browser-based computer-use path.
Because the stack is a standard web client plus a Python API, you can run it as a local web app, as a desktop app through the Electron wrapper the README documents, or as a headless server deployment.
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The most important design choice is the action gate. According to the README, Poka uses a deny-by-default gateway: an operation runs only if its category is allowed, and anything outside the low-risk set waits for the owner. The split works like this:
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| Operation type | Documented behavior |
|---|---|
| Workspace reads and web searches | May run without a prompt; actions are logged |
| Shell commands | Paused until the owner approves |
| File modifications | Paused until the owner approves |
| Computer input (mouse, keyboard) | Paused until the owner approves |
This is a documented design, not a security assessment. The README does not publish the exact classification rules or test cases behind the gate, so before giving an agent access to a machine with sensitive files, check how each category is handled in your own test environment, using a non-critical project directory.
Where your data and credentials live
The project states that conversations, personas, artifacts and logs are stored in a local SQLite database. Provider credentials are described as encrypted at rest, and the web interface uses server-enforced HttpOnly session cookies, which means scripts running in the browser cannot read the session token. These are project claims. No independent security audit of Poka was found in the sources reviewed for this article, so the encryption scheme and session handling are unverified by anyone other than the author.
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- Say goodbye to drop-offs and buffering - With eero Built-in, Echo Dot doubles as a mesh wifi extender, adding up to 1,000 sq. ft. of wifi coverage to your existing eero network.
Which models Poka can use
Poka is built around model choice. The README documents two groups of options.
| Category | Options named in the documentation | Status of the claim |
|---|---|---|
| Cloud providers | Provider endpoints using your own API key | Documented; providers are configured per installation |
| Local inference | Ollama, LM Studio, vLLM | Documented; no interoperability test report found |
| Request protocols | Chat Completions, Responses, and prediction protocols | Documented; no independent compatibility testing found |
In practice, a local setup means running one of the listed model servers on your machine or network and pointing Poka at it. Hardware requirements for local models are not specified by the project, so the size of model you can run depends on your own equipment and the model you choose.
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- Say goodbye to drop-offs and buffering - With eero Built-in, Echo Dot Max doubles as a mesh wifi extender, adding up to 1,000 sq. ft. of wifi coverage to your existing eero network.
Connectors, search and computer use
- App connectors: The README names Composio as the connector layer.
- Web search: A You.com MCP adapter is named for search.
- Browser runtime: The optional Docker/Playwright runtime is described with a read-only root filesystem and dropped Linux capabilities, which limit what a compromised browser session could change on the host.
- Desktop agent: A Windows desktop agent is described, and the README lists desktop packages for macOS and Windows.
The project does not publish performance figures for these paths, and it does not claim a particular frame rate or latency for computer use.
What you need to run it
The repository lists these requirements for the web and server setup:
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- Open by Design - Stream in the WiiM Home App or cast directly via Google Cast, Spotify/TIDAL/Qobuz Connect, Alexa Cast, DLNA, Roon/LMS; join WiiM, Google Cast, Alexa multi‑room groups.
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- Node.js 20 or newer
- Python 3.10 or newer
- An inference API key for a cloud provider, or a running local model server
- Docker, only if you want the optional browser runtime
The repository also includes server deployment assets. Because the project is a prototype, plan for configuration work and expect rough edges in the desktop packaging.
What is and is not established
The materials available to this article describe what Poka is designed to do. They do not show that it works as described under real workloads. Specifically, the sources establish:
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- The project’s stated architecture, feature set and setup requirements.
- That the repository is MIT-licensed.
- That the repository labels the project as active development.
They do not establish independent security review, independent compatibility testing, user adoption figures or a hardware baseline. No named statistics about user outcomes were published alongside the project.
Who should look at Poka now
Poka suits developers and technically confident users who want a self-hosted agent, can read the source, and are comfortable with prototype software. It is a poor fit for anyone who needs a supported product, a vendor-backed security guarantee, or an agent that runs unattended on sensitive systems. If you evaluate it, start with the approval gate: confirm which operations pause, what gets logged, and where credentials are stored on your machine before connecting real accounts.
Comparing Poka with other agent workspaces is most useful on five points: where conversation and execution data are stored, which cloud and local model options are supported, which operations require approval, which connectors and computer-use paths exist, and how much setup each one needs.
Do these 3 things before closing this tab:
1Fix the driver behind crashes, sound loss and screen glitches2Clear out junk files and repair common Windows errors3Scan for outdated or missing drivers - takes under a minuteEach point above is taken from the project’s own announcement and repository. Check them against the code and the current README before you rely on them.
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