A personal AI operator, tuned and hosted on your own machine.
We take OpenClaw or Hermes, add persistent memory, tools, permissions and skills, tune it to your work, and stand it up on your own infrastructure. One operator for documents, research, market signals, leads, and occasional code, with the data on your side.
For whom
Stand this up for yourself if your knowledge work is scattered across documents, research, the market and small code with no shared memory, and the data should stay with you.
OpenClaw / Hermes → your machine
- 01An OpenClaw or Hermes base with added memory, tools, permissions and skills
- 02Tuned to your work and hosted on your own VPS or machine
- 03A step that deletes or sends waits for human approval
- Type
- Personal operator (per person)
- Base
- OpenClaw or Hermes
- Hosting
- Your VPS or machine
- Hardening
- Memory · tools · permissions · skills
- Tuning
- To your real work
Operating loop
One operator, your own infrastructure.
The mode changes with the task, a document, research, the market, a lead, or a script, but the memory stays shared and sits on your own machine: a finding from one session comes back in the next without re-pasting the context.
Input: a document, a question, a lead, or a task
Documents: read, summarize, edit
Research and market: search, collate, note
Leads and competition: gather and watch
Code: one-off scripts, prototypes
Persistent context memory across sessions, on your own machine
Irreversible actions → human confirmation
Agent work
One tuned operator instead of ten tools on someone else's servers.
Problem
Your work scatters across separate tools: documents in one, research in another, leads and market signals in the next. Every jump between them costs time and attention, off-the-shelf assistants forget what you settled yesterday, and your data ends up on someone else's servers anyway.
How it works
You get one operator for documents, research, markets and leads, one that remembers earlier conversations and runs on your own hardware. We build it on OpenClaw or Hermes, tune it to your work, and put it on your own VPS or machine, so you point it at your own model and keys, and your files and context never leave your box.
Boundaries
The operator doesn't run silently in the background, and it doesn't take irreversible actions without confirmation. Permissions are deliberately scoped, and because everything runs on your own infrastructure, you decide what the operator can see and reach.
What works, what doesn't
Document work, research and market signals with persistent context are where it's strongest, and for some people tracking leads and the competition. Occasional code stays occasional: good for one-off scripts and prototypes, not for maintained software. The memory needs tending, or it collects noise.
Result
Less context-switching: one operator for documents, research, the market, leads and small code, with memory across sessions and the data on your side. Each person gets the same pattern, tuned to their own work.
Work surfaces
Memory matters most, and where the data sits.
Less context-switching: one operator for documents, research, the market, leads and small code, with memory across sessions and the data on your side. Each person gets the same pattern, tuned to their own work.
Documents and research
The operator reads, summarizes and edits text and gathers research with context from prior findings.
Market and leads
It collates market signals, and for some people finds leads and watches the competition's moves.
Occasional code
It writes one-off scripts and prototypes, but does not take over maintained software.
What the deployment shows
Memory, your own data, and confirmation before any action.
The operators run on clients' own infrastructure, in daily use. We describe the run in words; we don't show private documents or session contents.
01Memory recalls a finding from an earlier session, without re-pasting the context. 02A research note ties the sources to the user's decision. 03A script stays a one-off artifact for the task, not a product to maintain.
Client testimonials
People running their own operator.
Kuba Koziej CEO & co-founder of MoreGrowth, board member at Natu.Care
The operator took over a chunk of the repetitive decisions and closes what it can, leaving the rest to me with a ready summary. What I value most is seeing a trace behind every decision and knowing exactly where its role ends.
Oleksandr Usyk Co-founder & art director, jakotako
I run a design studio, not an engineering team, and I still left with something working. We built an agent loop that pulls in leads and keeps an eye on the competition, and I put my own site together with Claude. It was hands-on, on my real work, not a talk about AI.
Sean Doyle Head of Investment Properties CEE, CBRE
I use the Syntalith operator for real-estate research: it lines up listings, compares markets, and catches signals that used to get lost across ten browser tabs. Documents and personal research sit in one place. It's an assistant that actually remembers what we worked on yesterday.
Autonomy boundary
Boundaries
The operator doesn't run silently in the background, and it doesn't take irreversible actions without confirmation. Permissions are deliberately scoped, and because everything runs on your own infrastructure, you decide what the operator can see and reach.
Document work, research and market signals with persistent context are where it's strongest, and for some people tracking leads and the competition. Occasional code stays occasional: good for one-off scripts and prototypes, not for maintained software. The memory needs tending, or it collects noise.
Recognize your own process here? Let's see what an agent could take over.
- 30 minutes with the engineer who would build it, not a salesperson.
- A review of the processes that cost you the most time and money.
- A written summary: what to automate, in what order, with cost ranges.
No sales deck and no obligations. If automation doesn't make sense, we'll write that too.