Multi-Agent Orchestration

Many Specialized Agents.
One Coordinated Outcome.

Xccelera Orchestrator coordinates AI agents that plan, reason and execute complex enterprise workflows end-to-end, in parallel and fully tracked.

See the ArchitectureTalk to an AI Architect
PlannerBreaks down the requestBuilderMicroVMChatMicroVMVerifierScores results
Single Agent vs. Orchestrated

Why One Agent
Isn't Enough

ExecutionContextQualityVisibilityControl
Single AI agentOne task at a timeRelearns every sessionOutput ships uncheckedBlack boxAd hoc
Xccelera OrchestratorParallel tracks across the workflowPersistent memory of past workEvery result scored before it shipsEvery step traced and loggedHuman-in-the-loop checkpoints
Meet the Agents

Four Roles.
One Shared Harness.

01

Planner Agentagent.planner

Breaks a request into a structured, multi-step plan.

Runs without a VM
02

Builder Agentagent.builder

Writes code, fixes and integrations inside its own isolated MicroVM.

Own MicroVM
03

Chat Agentagent.chat

Handles edits and follow-ups in parallel with the build.

Own MicroVM
04

Verifier Agentagent.verifier

Scores every result and triggers a repair pass when it falls short.

Scores every result
Shared harness
SkillsModel switchingKnowledge graphCheckpointsToken management
The Execution Loop

Plan. Act. Judge.
Learn. Repeat.

  1. 01PlanThe request is broken into steps.
  2. 02ActAgents write code, run it and read the result.
  3. 03JudgeResults are scored before they ship.
  4. 03bRepairWeak results trigger an automatic, logged fix.
  5. 04LearnWhat the run learned is written back to memory.
Persistent Memory

Your Agents Never Start From Zero

Every agent recalls past fixes, decisions and dead ends before taking a single action, and shares what it learns across the fleet.

FactActionDecisionOutcomePlanInsight
10,000+memories and growing across Xccelera's agent fleet
Memory recallbefore the first actionRecalling…3 recalled
Builder Agent · query

Add retry logic to the payment webhook

  • DecisionUse idempotency keys on every payment webhook.0.94
  • OutcomeExponential backoff cleared the 502 spike in run #4410.0.88
  • InsightDead end: retrying inside the DB transaction caused deadlocks.0.82
Applied to the plan before any code
Parallel Execution

Work Runs Side by Side, Not in a Queue

Each build and chat job gets its own disposable MicroVM, so planning, generation and edits happen at the same time and verify themselves.

Parallel · Xccelera OrchestratorAll three verified
Plan projectPlannerMicroVM-free
Generate codeBuilder · MicroVMMicroVM 1
Chat editChat · MicroVMMicroVM 2
Sequential · one after another≈ 3× longer
Same three jobsIn a queuePlanGenerateChat edit
End-to-End Monitoring

See What Every Agent Did,
When and Why

Orchestrator · RunsProductionStagingSample data
RunModelStatus
Run #4821 trace8 steps · 0 errors0:00
  1. Plan createdPlanner · 6 steps, 24 acceptance criteria
  2. Approval checkpointAna Patel approved the plan
  3. Generate codeBuilder · tool: write_file ×33
  4. Run testsBuilder · tool: pytest · 22 / 24 passed
  5. Judge · score 0.71Verifier · below threshold
  6. Repair passBuilder · auto-fix logged · 24 / 24 passed
  7. Judge · score 0.96Verifier · evidence recorded
  8. Deployed to stagingHealth check 200 OK
Full trace logs for every step
Monitoring & Evidence Agent records proof of every action
Human approval checkpoints where you need them
Model switching routes each task to the right model, including open-source LLMs
Production and staging running side by side
Where It Runs

One Orchestrator for
Business and Engineering

Business Operations

Agents That Reason, Decide and Execute

Automate complex operations across business functions with agents that reason, decide and execute with minimal human intervention.

  • Runs across finance, operations and service workflows
  • Acts inside the systems you already use
  • Human sign-off where it matters
Example · invoice approval flow
Request inAn invoice arrives for approvalPlanPlanner breaks it into checks and actionsExecuteAgents act in ERP and CRM in parallelVerifyResults scored against policyApprove & closeA human signs off; evidence recorded
Software Engineering

Parallel Tracks Across the Product Lifecycle

Run parallel tracks across the Product Development Lifecycle with Xccelera Core, Xccelera ReForge and Xccelera Guard.

  • Build, modernize and secure in one coordinated run
  • Every track verified before release
  • One trace from requirement to deploy
Example · code delivery flow
PlanRequirement becomes an approved planXccelera CoreBuilds new applicationsXccelera ReForgeModernizes legacy codeXccelera GuardResolves security risksDeployVerified release with a live URL
Start Orchestrating

Put a Coordinated Team of AI Agents to Work

Bring us a workflow and we'll map how Xccelera Orchestrator runs it end-to-end.

Talk to an AI Architect