Context that stays useful
Every project remembers facts, decisions and their sources. Return weeks later and see what was agreed, why, and where the original evidence lives.
Governed AI operations · demo and scoped pilots
Give your AI team a job.
Get a result you can verify.
Turn AI assistants into managed digital employees. COSMOS coordinates research, implementation and verification across your tools—from development and content to business operations. Define what done means, approve consequential actions, and receive a result checked against real evidence.
Built in real operations · Demos and scoped pilots · Active development
COSMOS / CONTROL PLANE01 — 03
One goal. A focused team.
Human decision Bounded context. Clear ownership. Evidence returned.
Illustration — no live agents are running on this page
Digital employees. Managed work. Verified outcomes.
One owner. A focused team. A clear definition of done. COSMOS keeps tasks moving across sessions and systems, with approvals for consequential actions and evidence that shows what actually happened.
Request a scoped pilotSilent abstract illustration
One job, start to verified finish
A short silent illustration of the control flow — abstract, not a product screen.
- Define the job and give specialists a focused brief.
- Review the plan and approve consequential actions.
- Check the output against evidence before accepting the result.
✳Persistent context✳Model-agnostic orchestration✳Bounded agent hives✳Approval before action
START WITH THE WORK
What would you put
on your agents’ desk?
Explore three ways to structure a task. Each has a small brief, distinct roles and an outcome a person can check.
01Ship a software change
Illustrative workflow · not a live run or a customer result
- The brief
- Fix a reproducible problem without losing the original requirements.
- The team
- Investigate → implement → independently test
- The review package
- A proposed patch, focused test results and remaining risks.
- The decision that stays yours
- Approve deployment only after reviewing the patch and verification.
02Create an evidence-led campaign
Illustrative workflow · not a live run or a customer result
- The brief
- Turn a source-backed product story into English and Russian copy.
- The team
- Research → draft → translate → editorial review
- The review package
- Drafts with source references, claim checks and unresolved questions.
- The decision that stays yours
- Approve the final text and channel before anything is published.
03Reconcile business records
Illustrative workflow · not a live run or a customer result
- The brief
- Compare source transactions with the target accounting state.
- The team
- Normalize → compare → prepare a candidate → verify
- The review package
- A discrepancy report and a dry-run candidate for review.
- The decision that stays yours
- Authorize a specific write, then read back the affected system.
The accounting case below is our first-party development evidence. These walkthroughs show the intended operating pattern; adapter readiness is assessed separately.
01 / THE SYSTEM
A job is not done
until its result is checked.
Start with a task, an owner and acceptance criteria. COSMOS gives each specialist the context and tools it needs, preserves progress between sessions and puts consequential actions behind approval gates. Uncertain effects are reconciled, not blindly repeated. A job is accepted against its checks—or returns an explicit exception to resolve.
Teams with a clear boundary
Separate research, implementation and verification. A focused team works in parallel and returns structured results into one reviewable workflow.
Actions you can account for
An explicit plan, policy checks, approval and verification connect an agent’s suggestion to a real-world result.
THE OPERATING LOOP
- 01Understand
- 02Retrieve
- 03Delegate
- 04Review
- 05Act
- 06Verify
The conversation is the interface. Durable state and evidence keep the work coherent.
02 / THE ECONOMICS OF CONTEXT
More useful work per subscription
Stop spending context on the same backstory. Focused briefs, compact handoffs and persistent project state help more useful work fit within your existing token budget. Measure the difference on your workload: provider quotas and rate limits still apply, and no universal subscription multiplier is promised.
One measured exact-output synthetic canary
Baseline profile69,393input tokens
Isolated profile4,547input tokens
93.45%fewer input tokens
15.26×smaller input
A profile-isolation canary kept the exact required answer with 69,393 → 4,547 input tokens. Cache states differed. This is a measured context result, not a general cost or quality guarantee.
What was measured?
Two runs of one synthetic task compared a baseline provider profile with an isolated profile. Both preserved the exact required output. The reported ratio uses input-token counts; it does not isolate the effect of retrieval or measure equivalent cache billing. Provider prices, output tokens, tools and retries affect actual cost.
Interactive illustration
Give your agents a smaller brief.
tokens
%
Your hypothetical context budget
Original brief
Focused brief
Try your own assumption. This illustration is not a prediction of COSMOS performance or your provider bill.
03 / BUILT INSIDE 3BS
A real business.
A useful proving ground.
A marketplace finance workflow shows COSMOS in practice: source commerce records move toward verified accounting entries through normalization, dry-run validation, explicit approval and confirmed posting.
Original evidence → normalized records
Read marketplace finance source evidence. Normalize SKU records while keeping the original source inside the trusted boundary.
Candidate → dry run → parity
Prepare an accounting candidate, validate it without writing, and compare the result with the source evidence.
Approval → draft → identity readback
Approve the specific write, create the 1C draft and verify its identity. An uncertain effect triggers reconciliation, not an automatic resend.
Posting preview → approved scope
Inspect the posting preview and bind posting to the approved scope before execution.
Posted state → external verification
Read back the accounting system’s state to confirm the actual business result, rather than relying on an agent’s completion message.
First-party development context, not an independent customer testimonial. Integrations differ in maturity; availability is reviewed per workflow.
CONNECT THE WORK YOU ALREADY HAVE
A control plane,
not another silo.
Designed around governed tool routing and adapters. Your models, your tools and your source systems each keep an explicit boundary.
◇AI providers⌘MCP tools⊞Business systems↗Marketplaces⎇Repositories◎Browser workflows
Supported capabilities depend on configured adapters, permissions and deployment. A logo list would not tell you that.
A SMALLER FIRST STEP
Start with one workflow.
Define what “done” means.
A pilot discussion starts with the work, not a platform migration. Agree on the scope, access boundaries and a useful test before deciding what to build.
Map the handoffs
Name the sources, agent roles and decisions that need a person.
Define the proof
Choose a baseline, acceptance checks and the limits of the result.
Review the next step
Use the evidence to decide whether to refine, expand or stop.
A useful first candidate
A recurring task with accessible evidence and a result you can inspect. Keep the first scope small enough to review.
Keep outside the first scope
Unrestricted access, unsupervised irreversible actions or a promise that every model answer will be correct.
Prepare a short enquiry
Choose a starting point and describe one outcome. Copy the brief when you are ready; you decide what to share.
This builder works only on this page. Nothing is stored, analysed or automatically sent. Do not enter passwords or sensitive information.
Nothing is sent automatically.
A few useful answers.
Is COSMOS tied to one model?
The control plane is provider-neutral. Actual models and capabilities depend on configured providers, adapters and permissions.
Can I install it today?
COSMOS is under active development. The desktop commercial release is undergoing verification; this page does not offer a public installer or self-service subscription.
Does fewer tokens mean a guaranteed smaller bill?
No. Token counts and provider bills are different measurements. Cache pricing, models, output, tools, retries and subscriptions all matter. The canary demonstrates one measured input reduction.
BUILD WITH INTENT
Start with one job
Choose one recurring task in development, research, content or operations. Together we define the deliverable, approval points and checks that prove it worked. Start with a bounded pilot, not an open-ended automation project.
MCP / API / IDE
Your environment. A shared control plane.
Connect the tools you already use through MCP and configured provider adapters. Protocol compatibility is not the same as an end-to-end verified native integration.
Local adoption or configured adapter; acceptance required
Local adoption and configured hosts
- VS Code
- Native Codex
- Cursor
- Claude / Claude Code
VS Code and native Codex have recorded local adoption paths. Cursor and native Claude / Claude Code have harness and MCP configuration adapters; a configured adapter is not host acceptance. A fresh host chat, version, permissions and workload are verified separately.
Protocol-compatible or candidate; pilot validation required
MCP-compatible hosts and candidates
- MCP-compatible hosts
- OpenClaw
Other MCP-compatible environments can use the governed MCP surface subject to transport, permissions and tool admission. OpenClaw is a candidate for a scoped external integration pilot, not a verified bundled integration; its gateway and runtime are not embedded.
Synthetic evidence, adapter contracts and planned routing
Providers and custom pipelines
- Z.AI / GLM
- OpenRouter
- Python / CLI / MCP pipelines
Z.AI / GLM passed an exact-output synthetic canary; this does not authorize private-data routing or establish general model quality. OpenRouter routing and evaluation are planned, not currently admitted by the closed provider profiles. Custom pipelines can use Python, CLI and MCP contracts around individually validated domain adapters.
Deploy around your boundary
We discuss local, private-server and managed deployment around your data and operational constraints. A scoped demo establishes the required IDE, model, tools, permissions and evidence before a rollout.
COSMOS keeps useful state between sessions, retrieves a focused working set and returns compact evidence. Different layers save different resources: input tokens, transported bytes and tool calls must be measured separately.