Turn Your Computersinto 24/7 AI AgentsTurn Your ComputersInto 24/7 AI Agents
Teach an agent your browser, app, and computer workflows. Start with frontier models, move repeat work to cheaper models, and run mature tasks on your own local model.
macOS available now · Windows & Linux coming soon
bot0 ships with a real terminal frontend,
not a hidden agent wrapper.
Same shell, same agent, same tools. This is the interface users actually run when they teach workflows, monitor tools, and launch long-lived tasks.
Bytespace agents use browsers, apps,
and full computers.
bot0 plans and runs the work. dom0 handles the browser. cmd0 handles desktop software and full-computer workflows. ctx0 turns every run into reusable context and training data. The result is automation that works where your team already works.
Plans the work and keeps it running.
bot0 is the agent that reasons, chooses tools, executes steps, handles retries, and runs long-lived tasks on your machine or infrastructure.
Runs browser workflows in the real web.
dom0 logs in, clicks through sites, fills forms, extracts data, and keeps browser work reusable instead of rebuilding everything around APIs.
dom0 caches selectors, DOM structure, and browser traces, then reruns the same workflow on cheaper browser-agent targets.
Scrape competitor pricing, gather lead signals, and update a CRM from web tools my team already uses.
Uses apps and full computers when there is no API.
cmd0 handles native apps, local files, system dialogs, spreadsheets, and internal tools that live on the desktop instead of the browser.
cmd0 keeps successful computer-use trajectories, then promotes mature tasks toward a local UI model and a smaller vision model.
Review rows in a spreadsheet, update the next values, and hand the finished output to Andre through iMessages.
Structures messy runs into reusable memory.
ctx0 cleans, labels, and maintains the data layer of the system. It turns raw runs, notes, events, and outputs into reusable workflow memory and training-ready datasets for later LoRA fine-tuning on small local models.
Triggers
Start from almost anything: email, webhook, form submission, CRM update, database change, or app event.
Cron jobs
Run on a schedule with no human in the loop: every hour, every weekday, every morning, or any repeat cadence you need.
This Week
API integrations
Connect deterministic systems directly when APIs exist, then hand off the non-deterministic parts to the agent runtime.
Once the schema, tool calls, and validation gates are stable, API-heavy tasks can move off frontier pricing and onto cheaper tool-routing models.
Use APIs when the work is deterministic: sync records, create tickets, write rows, send messages, and push updates into the systems your team already runs.
A 24/7 AI agent can cost $3,000 a month.Bytespace is how you bring that bill down.
One workflow.
Three cost stages.
Bytespace learns the job in the same environment where the job already happens, then moves that work toward cheaper execution as the system gets more certain about the task.
The goal is not to avoid frontier models on day one. The goal is to use them to get the workflow right, then stop paying frontier rates for work that has already been learned.
Start with a frontier model and show the agent the job inside the browser, apps, and desktop software your team already uses.
Once the task is stable, rerun the same workflow on cheaper hosted models instead of paying frontier pricing every time.
When the workflow is learned, run the mature version on your hardware with your model and keep frontier models for edge cases.
One workflow.
Three cost stages.
Bytespace learns the job in the same environment where the job already happens, then moves that work toward cheaper execution as the system gets more certain about the task.
Start with a frontier model and show the agent the job inside the browser, apps, and desktop software your team already uses.
Once the task is stable, rerun the same workflow on cheaper hosted models instead of paying frontier pricing every time.
When the workflow is learned, run the mature version on your hardware with your model and keep frontier models for edge cases.
The goal is not to avoid frontier models on day one. The goal is to use them to get the workflow right, then stop paying frontier rates for work that has already been learned.
Agent skills run through Bytespace's SLM promotion pipeline.
After the skill is stable, Bytespace can prepare the training set, run the LoRA pipeline, benchmark `openai/gpt-oss-20b`, `Qwen/Qwen3-8B`, `google/gemma-3-4b-it`, and `deepseek-ai/DeepSeek-R1-Distill-Qwen-7B`, and keep the cheapest target that still passes the job.
Same workflow. Lower cost per run.
Use a frontier model to build the skill, rerun it on a cheaper hosted model once the workflow stabilizes, then move mature versions to a tuned local model on your own hardware. If you already have Apple Silicon machines with 32 GB+ of unified memory, mature workflows can often run locally at near-zero marginal cost.
pipeline
Know what the agent can touch,
where data lives, and who approves it.
If an agent can use browsers, apps, terminals, and full computers, the trust boundary has to be explicit. Bytespace separates local OS permissions, agent approval rules, secret storage, and deployment choices so you can decide what stays on your machine and what does not.
Desktop control only works after the OS says yes.
On macOS, cmd0 requests Accessibility, Screen Recording, and Automation before it can drive apps, inspect the screen, or discover windows. Browser work runs through dom0 in a real browser with extension support.
You choose when the agent asks first.
bot0 supports explicit permission modes. In ask mode, reads can proceed, while writes, shell commands, tasks, and external actions require approval. In auto mode, routine work can continue without prompts, but dangerous shell commands still ask.
The daemon is not where keys live.
Provider API keys and database credentials stay on the proxy, or on your own infrastructure if you self-host. They are stored encrypted with AES-256-GCM, and proxy requests are authenticated with the session plus the device signature rather than exposing raw keys to the agent runtime.
You can decide where memory and workflow data live.
Run fully hosted, keep ctx0 on your own Supabase while still using Bytespace as the proxy, or self-host the proxy and database together. That choice decides where workflow history, memories, and encrypted keys are stored.
Same agent model. Different control points.
Bytespace supports a fully hosted setup, a hybrid model where you host ctx0 yourself, and a fully self-hosted model where the proxy and database are yours. The difference is not the UI. The difference is where credentials, memory, and infrastructure sit.
Cloud agents run on isolated virtual machines. Local agents keep the runtime on your own computer. In both cases, the daemon is designed to avoid holding provider API keys directly.
Cloud or Self-Hosted.
Same Features.
Bytespace Cloud
Sign up and start in minutes. We run the proxy, credential vault, monitoring, and updates. Your agents connect to our infrastructure — you focus on what they do.
- Instant setup
- Managed credential vault
- Monitoring dashboard
- Automatic updates
Self-Hosted
Run the entire stack on your own servers. Same features, full control, zero vendor lock-in. You own the proxy, the vault, the data — everything.
- Full source access
- Your encryption keys
- No usage limits
- Complete data sovereignty
Ready in 2 minutes.
Download, drag to Applications, sign in. That's it.
macOS (Apple Silicon & Intel). Windows & Linux coming soon.
Download for MacSimple pricing.
No surprises.
The tools are free and open source. We charge for managed infrastructure — monitoring, credential vault, and cloud proxy.
Self-host it all for free.
Free Trial
14 DaysTry Bytespace Cloud free for 2 weeks. No credit card required.
- No credit card required
- Bring your own API keys
- Data encrypted at rest (AES-256)
- Hardware-bound device auth
- All products included
- Migrate to self-hosted anytime
Bytespace Cloud
RecommendedManaged hosting with enterprise-grade security. Zero setup required.
- $30 in AI model credits included
- LLM caching (saves up to 90% on costs)
- Model uptime routing across providers
- Data encrypted at rest (AES-256)
- Hardware-bound device auth
- Automatic backups & updates
- Managed credential vault
- Purchase additional credits anytime
Self-Hosted
Coming SoonEverything is open source. Bring your own infrastructure.
- Full source access
- Your encryption keys
- No usage limits
- Complete data sovereignty
- All products included
- Hardware security included
Custom limits, dedicated support, SLA, on-prem.