Echelar · engineering automation system

Turn your backlog into verified software.

Echelar deploys a configurable team of agents to plan, build, review, repair, and independently verify every outcome—inside your stack, under your control.

Start with one outcome See the Echelar system

Slack · Linear · GitHub · Sentry · schedules · workspace

scroll · follow the current ↓

02The Echelar system

The operating system behind every outcome.

Start wherever work starts. Echelar turns each signal into one configurable, verifiable, and continuously improving delivery loop.

01Slackmention

02Linearassignment

03GitHubevent

04Sentryincident

05Scheduleheartbeat

06Workspacedirect

Echelaroutcome engineone accountable loop

Orchestrate

Automation Engine

Events become observable runs.

Orchestrate

Configurable harness

Your models, tools, gates, and environments.

Prove

Verified output

A builder never grades its own work.

Prove

Own your observability

Every decision has a visible trace.

Learn

Memory

Trusted context compounds across runs.

Learn

Evolving skills + agents

Repeated outcomes become governed proposals.

Operate together

Multiplayer

Humans and agents share the same live session.

Operate together

Insights

See delivery, spend, and system impact.

06 entry pointsDifferent inputs. One accountable delivery system.08 connected capabilities

Product backlog · conductor onlineone engineer · every agent coordinated

PRD01

ECH-201

Define retry behavior

Eowned

Architecture01

ECH-196

Set ledger boundary

Eowned

Tech spec01

ECH-198

Plan backfill guard

Eowned

Build01

ECH-187

Add idempotency keys

Eowned

Review01

ECH-181

Check migration safety

Eowned

QA01

ECH-176

Verify checkout retry

Eowned

Merge-ready02

ECH-172

Patch webhook replay

Epassed

ECH-169

Update public API docs

Epassed

illustrative workstreamintake → architecture → delivery → verified

01×

engineering leverage

One engineer · parallel outcomes · one accountable system

03The incarnations of 10× engineering

Echelar multiplies an engineer's execution capacity. Planning, building, reviewing, QA, and delivery continue across parallel outcomes without multiplying the team or surrendering control.

01Product outcome

02Checkout reliability

03Platform migration

04Customer request

05Release readiness

06API hardening

07Incident follow-up

08Technical debt

09Documentation

10Developer experience

engineering leverage · 10×

scroll to multiply engineering leverage ↓

05Automation Engine

Work enters anywhere. Outcomes return where they started.

Mention Echelar in Slack, assign a Linear ticket, react to GitHub or Sentry, schedule recurring work, or start directly in the workspace. Every source reaches the same observable engine.

Trigger → conditions → gates → dispatch → visible run

Slack@echelar fix the retry

LinearECH-241 assigned

GitHubcheck_suite.completed

Sentrycheckout incident

Schedule0 9 * * 1–5

Workspacestart directly

Automation Engineevaluating

01Normalizeone event shape

02Matchtrigger + conditions

03Gatescope + safety

04Dispatchagent + repository

matchedReview every PR targeting maingithub · check_suite.completed

dispatchedReviewer + independent verifierechelar-ai/echelar-os

replyProgress returns to the originsame thread · same ticket · same run

EchelarOS event stream showing the incoming events evaluated by the Automation Engine

EchelarOS automation detail showing triggers, scope, dispatch, runs, versions, and enablement

06Configurable harness

Your engineering judgment, encoded.

Echelar does not ask your codebase to adapt to a generic agent. The harness brings your environment, context, specialists, permissions, and release rules to every run.

Repository grounding

Architecture, conventions, documentation, and ownership.

configured

Execution environment

The real services, packages, credentials, and compute shape.

configured

Agents and skills

Specialists selected for the outcome—not a single generic prompt.

configured

Models and permissions

Use the right model with explicit tool and repository boundaries.

configured

Checks and human gates

Automation advances only when your delivery rules allow it.

human-governed

EchelarOS repository harness configuring the sandbox base image, setup commands, services, compute, and version history

01Reproducible machineEvery run starts from the same versioned environment.

02Versioned + reversibleChanges are inspectable before the next session starts.

07Verified output

Merge-ready comes with receipts.

The handoff is not a message saying “done.” It is an inspectable run: what changed, what executed, which checks passed, what the independent verifier found, and where human judgment remains.

Verified delivery

Checkout retry preserves the coupon

Ready for human merge

Repositoryacme/checkoutPull request#1842Branchechelar/retry-boundary

✓

Outcome reproduced

The failing path is isolated on the real execution environment.

01:42

✓

Patch and adjacent cases

The implementation and regression surface are both covered.

3 files

✓

Automated checks

Tests, types, lint, CI, and the browser path are green.

28 passed

✓

Independent verification

A separate context checks the intent, change, and residual risk.

verified

Illustrative run · no customer dataBuilder ≠ verifier

08Memory + self-evolution

Every run teaches the next one.

Echelar remembers trusted context, detects repeated outcomes, and proposes a better skill, agent, or automation. The proposal carries its sources. A human decides whether it becomes part of the harness.

Repeated outcomes3 sessions · one pattern

Preview deploy failed before the staging seed

Browser checks repeated the missing seed correction

A human rejected the same deployment order

proposeddeploy-preview skillAwaiting your judgment

correctionrecurrenceproposalhuman judgmentmeasured impact

EchelarOS skill proposal showing the repeated sessions and outcomes that caused Echelar to propose a new deploy-preview skill

EchelarOS automation revision showing a proposed prompt improvement and the runs that motivated it

01Memory has trust bands

Verified, likely, uncertain, and stale are never treated as equal.

02Proposals cite recurrence

The “why” remains attached to the change your team is reviewing.

03Impact stays visible

Echelar measures whether the adopted change improves later runs.

09Engineering control room

Your team sees—and steers—the whole factory.

Humans and agents share live sessions. Every origin, run, decision, changed file, cost, and delivery outcome rolls into one control plane your team can inspect together.

EchelarOS multiplayer session workspace with the active builder, repository, branch, tasks, files, and live conversation

MEAKE3 active

EchelarOS Insights console showing sessions, pull requests, spend, active automations, usage, and delivery impact

9sessions run

3PRs merged

2active automations

1shared control room

Illustrative product state · no customer metrics

Start the first loop

Bring one outcome. Watch the system operate.

Start with a ticket, incident, PRD, or repository. We will show how Echelar would automate, execute, verify, and return the delivery to your team.

SlackLinearGitHubSentryScheduleWorkspace

Automation Engine

Configurable harness

Verified output

Own your observability

Memory

Evolving skills + agents

Multiplayer

Insights

One engineer gains 10× engineering leverage with Echelar.

Define retry behavior

Set ledger boundary

Plan backfill guard

Add idempotency keys

Check migration safety

Verify checkout retry

Patch webhook replay

Update public API docs

Repository grounding

Execution environment

Agents and skills

Models and permissions

Checks and human gates

Checkout retry preserves the coupon

Bring one outcome. Watch the system operate.