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Roadmap

Ploston is actively developed. This page reflects the current state of the project.


OSS Core — Available Now ✅

Everything in this section is shipped and working.

Setup & Deployment

Feature Description
ploston bootstrap One-command Docker Compose deployment — pulls images, starts CP, Redis, native-tools
ploston init --import Scans Claude Desktop / Cursor configs, interactive import, starts local runner
Local Runner Daemon that connects your local MCP servers to the Control Plane over WebSocket
Docker Compose Production-ready compose file with health checks and restart policies
Kubernetes Helm charts + manifests for K8s deployment (ploston bootstrap --target k8s)

Execution Engine

Feature Description
Workflow Engine Sequential step execution with full dependency resolution
MCP Frontend MCP server over stdio and HTTP+SSE — Claude Desktop, Cursor, any MCP client
Tool Invoker Calls any MCP tool from a workflow step
Python Sandbox Secure sandboxed code execution with 7-layer security model
Jinja2 Templates Parameter templating across tool steps, conditions, and outputs
Retry Logic Per-step configurable retry with exponential backoff
Error Handling on_error: fail / skip / retry per step

Control Plane

Feature Description
Tool Registry Discovers and manages all MCP tools from connected runners
Workflow Registry Loads, validates, and hot-reloads workflow YAML files
REST API Full HTTP API for workflows, tools, executions, runners, config
HTTP Transport MCP over HTTP+SSE with TLS support
Config Tools MCP-native configuration management (config_get, config_set, config_done)
Runner Management Multi-runner support with WebSocket connections and persistent registration

Observability

Feature Description
Prometheus Metrics Execution metrics, tool call counts, token savings estimates
OpenTelemetry Traces Distributed tracing for workflow and step execution
Structured Logging JSON-formatted logs via structlog
Telemetry Store SQLite-backed execution history with configurable retention
Grafana Dashboards Pre-built dashboards for execution metrics and system health

Developer Experience

Feature Description
CLI ploston run, ploston validate, ploston workflows list/show, ploston tools list
Plugin Framework PlostonPlugin base class with pre/post execution hooks
Plugin Registry Auto-discovery and loading of plugins
Error Registry Consistent error codes across all failure modes
Native Tools Built-in MCP server: filesystem, HTTP, data transforms, Kafka, Firecrawl, ML

Security

Feature Description
API Key Auth Token-based authentication for the REST API and MCP frontend
7-Layer Sandbox Import restrictions, builtin restrictions, tool whitelist, rate limiting, parameter validation, timeout, recursion prevention

Phase 4: Enterprise Foundation — Planned Q2 2026

Security & Governance

Feature Description
RBAC / ABAC Role and attribute-based access control for workflows and tools
Policy Engine Cedar/Rego-based policy enforcement at the execution layer
SSO Integration SAML and OIDC identity provider support
Immutable Audit Logs Tamper-proof, compliance-ready execution audit trail

Advanced Orchestration

Feature Description
Parallel Execution Run independent steps concurrently
Compensation Steps Automatic rollback on workflow failure
Human Approval Pause workflow execution for human decision
Async Execution Fire-and-forget workflows with webhook callbacks
Execution Cancellation Cancel in-flight workflow executions

Operations

Feature Description
Multi-Tenancy Fully isolated execution environments per tenant
Multi-Node Runtime Distributed execution across multiple runner nodes
Kubernetes Operator Native K8s CRD-based workflow management

Phase 5: Enterprise Intelligence — H2 2026

Learning & Optimization

Feature Description
Pattern Mining Detect repeated tool sequences from agent session telemetry
Workflow Synthesis Auto-generate YAML workflows from observed patterns
Token Cost Accounting Per-workflow token savings tracking and ROI reporting
Tool Selection Engine Suggest the right tool or workflow for a given task

Enterprise Console

Feature Description
Visual Workflow Builder Drag-and-drop YAML workflow creation
Workflow Library Browse, search, and clone workflows across your organization
Tool Catalog Explore all registered tools with schemas and usage stats
Execution Explorer Inspect, replay, and debug any execution
Pattern Review Review LLM-synthesized workflows before publishing

OSS vs Enterprise at a glance

Capability OSS Enterprise
Workflow Engine
MCP Integration
Python Sandbox
CLI + REST API
Docker + K8s deploy
Prometheus + Grafana
Plugin Framework
RBAC / ABAC Phase 4
Policy Engine Phase 4
Parallel Execution Phase 4
Human Approval Phase 4
Multi-Tenancy Phase 4
Pattern Mining Phase 5
Workflow Synthesis Phase 5
Visual Builder Phase 5

Design Partners

We're looking for design partners to shape Enterprise features.

Ideal partners: teams running AI agents in production who need deterministic execution guarantees, compliance/governance requirements, or want to reduce agent token costs at scale.

What you get: early access to Enterprise features, direct input on roadmap priorities, dedicated support channel, discounted pricing at GA.

Contact us or open a GitHub discussion.


Release Philosophy

  • OSS-first — core execution is always open source
  • Enterprise adds, never subtracts — OSS features stay OSS
  • Stability over speed — ship when it's ready
  • Feedback-driven — roadmap adapts to what users actually need

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