LoopX Distributed Agent Control Plane & Cluster Scheduler

@loopx-project/loopx · v1.4.0

An enterprise-grade distributed control plane and cluster scheduler for DeepSeek Harness. Features automated service discovery, dynamic load balancing, regional routing, and cluster health metrics.

Control-PlaneCluster-SchedulerService-DiscoveryMesh
GitHub Stars
26 K+
+12.4% this month
Monthly Downloads
98 K+
Monthly registry pulls
Reach Score
97.8/ 100
Top Tier Ecosystem
Runtime
Cordis v3+
Node 18+ / Bun / Deno

Installation & Integration

CLI one-click launch, package managers, and Cordis integration

bash
manager:
$ pnpm add @loopx-project/loopx

Architecture

LoopX Control Plane transforms standalone agent processes into a resilient distributed mesh. As AI infrastructure scales across multiple regions and hundreds of specialized workers, manual peer configurations collapse under operational complexity. This plugin implements a lightweight control plane adapter on top of Cordis. Worker nodes self-register their capabilities and dynamic load metrics on startup. The central scheduler balances execution requests using health-aware heuristics, optimizing GPU utilization, minimizing round-trip latency, and providing 99.99% fault tolerance.

Architectural Principles & Constraints

01
Strict Type Isolation

Guaranteed by TypeScript compile-time contracts, inter-plugin event bus calls enjoy zero-drift safety.

02
Sub-Millisecond Hot Reload

Supports dynamic runtime mounting and graceful unloading without restarting the primary host process.

03
Deterministic State Machine

Embeds multi-phase execution lifecycle guards, preventing context loss during long-horizon reasoning.

04
Zero Native Build Dependencies

Designed for lightweight cross-platform environments, booting instantly across Node.js, Bun, and Deno.

Core Features

01
Lightweight Embedded Consensus: Employs an internal Raft protocol without external ZooKeeper stacks
02
Capability-Aware Affinity Rules: Routes tasks based on GPU tier, RAM capacity, or geography
03
Live Mesh Topology Console: Real-time visual dashboard showcasing node throughput and heatmaps
04
Prometheus Native Metrics: Exports scheduling latencies and queue depths directly to Grafana

Core Workflow

01

Node Discovery & Registration

Worker instances declare available tools, GPU resources, and endpoints on boot.

02

Heartbeat & Telemetry Probing

Continuously probes node health, memory pressure, and queue backpressure.

03

Adaptive Weighted Routing

Routes execution jobs to the most suitable idle node based on dynamic weights.

04

Fault Eviction & Failover

Instantly evicts degraded nodes and reroutes in-flight jobs to healthy peers.

Configuration Parameters Reference (YAML / JSON)

ParameterTypeDefaultDescription
clusterRolestringworkerNode role in the LoopX cluster mesh
controlPlaneEndpointstringhttp://127.0.0.1:8888Master control plane communication URL
heartbeatIntervalSecnumber5Heartbeat reporting frequency in seconds

Use Cases

Enterprise Production Agent

Relies on microkernel lifecycle guards and fault-tolerant state machines for continuous reliability.

SWE-bench Benchmark Evaluation

Native integration with SWE-bench workflows, automatically capturing diffs and verification metrics.

Autonomous Code Refactoring

Separates reasoning from tool actions to independently locate and refactor multi-file codebases.

Cross-Tool Workflow Automation

Safely orchestrates events across sandboxes to seamlessly link enterprise developer tooling.

Best Practices

01
Sandbox Permission Guard

Strictly isolate sub-process calls and network scope; deploy within Docker containers in production.

02
Exponential Backoff Retries

Configure adaptive exponential retries with strict timeouts to mitigate upstream model rate limits.

03
Session State Checkpointing

Persist state machine snapshots to survive hardware interruptions and resume instantly without loss.

04
Full Trajectory Audit Logs

Enable full trace logging, aggregating reasoning thought streams and tool I/O into your observability hub.

FAQ

Q1:How to handle timeouts in long-running autonomous tasks?

Increase the timeout parameter inside your YAML configuration and dispatch periodic heartbeat signals across the Cordis event bus. For long-running tool execution and model reasoning, configure persistent session snapshotting so suspended tasks can safely resume their exact context after interruptions, preventing the kernel from recycling active agent sessions prematurely.

Q2:How to capture and stream the model reasoning thought process?

The harness runtime natively provides end-to-end streaming hooks while its state machine automatically intercepts and strips <think> reasoning tags from model responses. Subscribe directly to the onThink event listener to consume live reasoning token streams in real-time, delivering typewriter animation to the user interface while persisting full trajectories for audit compliance.

Q3:How to resolve dependency conflicts across multiple plugins?

Cordis microkernel uses directed acyclic graph topological sorting to dynamically resolve plugin dependencies. When shared services or runtime versions conflict, assign distinct isolated namespaces at the application entrypoint. Leveraging context injection alongside lazy activation ensures dependencies load strictly on-demand when tools are triggered, maintaining system stability and preventing memory bloat.

Q4:How to enforce permissions and sandbox isolation in production?

Combine isolated container sandboxing with fine-grained capability checks to prevent plugins from accessing sensitive files or unauthorized external networks. Enforce explicit runtime system call whitelisting through the microkernel, executing all third-party tool scripts inside isolated ephemeral containers to block arbitrary code execution and eliminate security privilege escalation risks entirely.

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