Measurements, not magic
We measure context and orchestration overhead in bounded workflows. These results show what happened in specific first-party tests, not a promise about every model, task or invoice.
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.
Measured first-party result
input tokens
One exact-output synthetic canary compared inherited and isolated minimal provider profiles. Both returned the required exact answer; cache states differed. Input tokens only, not billed savings or whole-job quality.
Cache states differed. This does not isolate retrieval quality or establish equivalent provider billing.
Evidence reviewed: · Trials: 1
Measured first-party result
result bytes
Ten local development trials of five file comparisons compared already-compact results with a batched procedure. The serialized successful result bytes were 4,290 and 712 per trial. Same-snapshot equality outcomes matched; setup, failures and procedure construction were excluded.
Result bytes are not full wire traffic or model tokens. October results are a local development candidate, not a release claim.
Evidence reviewed: · Trials: 10
Measured first-party result
wire bytes
Ten neutral local diagnostic scenarios measured 121,896 and 82,455 actual response wire bytes in aggregate. Four scenarios needed more bytes and one extra call. Shared setup was excluded; final-model-answer quality was not compared.
Wire bytes do not establish model-token usage or actual costs. October results are local development candidates, not a release claim.
Evidence reviewed: · Trials: 10
Measured first-party result
tool calls
The same ten local diagnostic scenarios measured 59 and 49 tool calls in aggregate. The total fell, but individual scenarios did not all improve.
Fewer calls do not by themselves prove lower latency, lower cost or equal performance on other tasks.
Evidence reviewed: · Trials: 10
For a pilot we agree on a baseline, representative tasks, quality checks and success criteria before comparing results. We report cache assumptions, output, retries and tool usage; we do not turn a single canary into a universal claim.
These are first-party development and operational examples. They are not independent customer endorsements, and an operational example is not automatically a measured token-saving case.
Operational pattern
COSMOS keeps source records in the trusted boundary, prepares a candidate, runs parity checks and verifies approved accounting actions by reading back the external state. The lesson is controlled execution and less repeated investigation; no token percentage is claimed for this workflow.
Development pattern
A specialist receives the relevant files, constraints and checks rather than the entire conversation history. Structured results return to one reviewable task. Context reduction is evaluated per task, with tests protecting the required outcome.
Illustrative workflow
Research, drafting, translation and editorial review use focused roles and source references. Publication remains a separate approved action. Savings depend on the source volume, handoffs and selected providers.
MCP / API / IDE
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
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
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
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.
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.
A public GitHub repository with a sanitized benchmark corpus and reproduction instructions is in the backlog. It is not published yet. Today we can discuss the measurement method and agree on a repeatable pilot; no broken repository link is presented.
A SMALLER FIRST STEP
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.
Name the sources, agent roles and decisions that need a person.
Choose a baseline, acceptance checks and the limits of the result.
Use the evidence to decide whether to refine, expand or stop.
A recurring task with accessible evidence and a result you can inspect. Keep the first scope small enough to review.
Unrestricted access, unsupervised irreversible actions or a promise that every model answer will be correct.
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.
No. We measure the actual workload and check the required outcome. Context, cache, model pricing, tools and retries can change the result.
COSMOS supports native provider paths, MCP-compatible environments and configured adapters. The exact host, model, permissions and deployment are validated for your workflow.
Public GitHub publication is in the backlog. No public repository or independent reproduction is claimed on this page.
Bring one task, a baseline and the outcome that must remain correct. We can show the workflow, discuss your stack and define a bounded demo or pilot.
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