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Autonomous engineering

MCP layer available first

Autonomous engineering as a service

Monarchic is building the platform for agent teams that plan, code, verify, remember, and ship work with evidence. The first commercial surface is the MCP layer: ExplicitMem for durable memory, RepoIntel for repository intelligence, BrowserOps for browser evidence, and proof tools for release-grade handoff.

Platform Direction

Agents that can be trusted with real engineering work.

Now

Hosted MCP tools for memory, repo context, browser checks, release evidence, and agent handoffs.

Next

Account-owned autonomous engineering workflows with bounded tools, durable state, and reviewable proof.

Rule

No invisible agent work. Benchmarks, screenshots, logs, and receipt files stay attached to the decisions they support.

Commercial surface

The MCP catalog is the first layer of the larger Monarchic platform.

View catalog

Who It Is For

Teams preparing agents to do real engineering work without losing memory, proof, or control.

Account scoped

Routes and API keys belong to an account, not a loose demo token.

Proof included

Research and receipts say what each MCP proves and what it does not.

Coming soon

We are holding access until the account controls are boring and reliable.

Monarchic Vision

Autonomous engineering as a service, built from proof-carrying tools.

The destination is not a pile of MCP servers. It is an account-owned engineering platform where agents remember context, inspect code, operate browsers, produce receipts, and hand off work that humans can verify.

Persistent state

ExplicitMem keeps useful memory outside hidden chat history and makes recall inspectable.

Repository ground truth

RepoIntel gives agents source paths, citations, symbols, and risk notes instead of vague summaries.

Browser evidence

BrowserOps captures what happened in the UI with hashes, screenshots, console output, and verification receipts.

Release proof

ProofPack, ReleaseOps, and Verified turn tests, patches, packs, and release gates into reviewable artifacts.

Repository Demo

Ask for repo facts. Get structured context, source paths, and evidence an agent can reuse.

This is the kind of output RepoIntel is built for: not a vague summary, but a bounded readout of architecture, dependencies, entry points, and files that prove the answer.

repointel / live repository extract

streaming repo facts into agent context

Index

Evidence

Handoff

$ monarchic repointel inspect ./monarchic-webapp \
  --question "where does checkout data come from?"
_

indexed 579 components / 6854 files
found   Stripe checkout surface
linked  source paths + evidence notes
warn    unresolved ownership boundary

Extracted Facts

  • Checkout behavior is traced to route handlers, catalog data, and UI entry points.
  • Every claim includes source paths an agent can open during the next task.
  • Risk notes flag unknown owners, missing evidence, and stale assumptions.

Evidence paths

14

Confidence

High

Agent handoff

Export the repository findings as structured context with source paths, confidence, and evidence notes an agent can reuse in the next task.

InfraProfiler MCP

Ask what infra is hurting reliability, cost, or deployment speed.

InfraProfiler already caught a real Monarchic staging failure: an idle worker burning CPU because SQS was being polled hot. The agent traced it to owner repos, fixed the queue behavior, and added a release guard without scaling up compute.

CPU max

98.45%

Queue wait

0s -> 20s

Task size

+0

Guard

live

infraprofiler / hotspot report

aws staging profile / no mutation

Strict
$ infraprofiler rank_hotspots \
  --provider aws \
  --env staging \
  --max-resources 20
_

detect   worker CPU max 98.45%
compare  queue depth stayed empty
rank     SQS hot polling as root target
guard    long polling required at deploy

ECS service

monarchic-staging-worker

hot polling

Owner

monarchic-worker

SQS queue

monarchic-staging-queue

empty receives

Owner

monarchic-infra

release guard

worker-sqs-long-polling-check

regression block

Owner

monarchic-plan

Detect

Staging worker hit 98.45% max CPU while the queue had no meaningful backlog.

Fix

Set SQS long polling to 20s in the queue and worker runtime without increasing task size.

Codify

Added a deploy-time guard plus an InfraProfiler rule so the same failure is ranked first next time.

Codex handoff

The report did not auto-mutate infra. It gave Codex the ranked target, telemetry evidence, owner repositories, and the exact guard to add after the fix was verified.

ExplicitMem Benchmark

Durable memory is the strongest proof point.

ExplicitMem turns agent memory into typed objects, graph links, bounded context synthesis, and receipt-backed retrieval. The local 500-question LongMemEval-S run proves retrieval quality; the hosted staging MCP route now has live latency smoke data from successful writes, searches, and context retrievals.

Accuracy

99.8%

Retrieval recall@K

100%

Hosted write p50

3.45s

Hosted search p50

3.28s

explicitmem / recall run

longmemeval-s-answer-v1 / 500 questions

Receipts 100%

ExplicitMem

Quality

99.8%

Latency

3.45s p50

Tokens

796tok

Mem0

Quality

94.4%

Latency

1090ms

Tokens

6787tok

Supermemory

Quality

85.4%

Latency

<300ms

Tokens

n/a

Recall coverage100%
Hosted MCP write3.45s p50
Hosted MCP search3.28s p50

Hosted figures are from the staging API route on June 26, 2026: 10 successful samples, `project_specific` scope, bearer-authenticated MCP. Local evaluation latency remains a separate 30ms average benchmark artifact.

Open benchmark research

Operating Model

Each MCP should make its boundary visible before it touches the work.

01

Target

Define the repo, browser, memory scope, or release surface.

02

Run

Execute the MCP workflow through account-owned access.

03

Record

Keep screenshots, logs, traces, and notes attached.

04

Decide

Expand, change course, or stop with the evidence in view.

Access

Access opens when routes, account setup, and receipts are ready.

We are not publishing fixed pricing yet. Use the catalog to see what is coming and which MCPs already have research behind them.

Environment

Know which repo, browser surface, memory scope, or account the workflow will touch.

Evidence

Keep screenshots, logs, benchmark notes, and receipt files close to the work.

Handoff

Tie API access, billing, support, and rollback decisions to the same account.

What You Get

Hosted MCP products, account ownership, and enough evidence to know what happened.

The point is to make agent tooling less opaque: what the tool did, what evidence it produced, and where the boundary sits.

MCP access

A controlled surface for MCP tools, API keys, and target environment notes.

Owner record

The account owner, support path, and rollback decision stay attached.

Evidence pack

Screenshots, repository context, memory traces, logs, or receipt files stay available.

Exit criteria

A clear place to decide whether to expand, change course, or stop using a route.

Good Fit

Teams preparing autonomous engineering agents to touch real repos, browsers, releases, and customer workflows.

Join when you need durable memory, repository intelligence, browser evidence, and account-level control in one direction.

Bad Fit

One-off demos, unaudited automations, or local tools that do not need account-level control.

Monarchic is for engineering work that needs memory, evidence, boundaries, and review. Local experimentation should stay local.

Next Step

Start with the MCP layer. Build toward autonomous engineering work that can be inspected.