LLMs plan. Ploston executes.
Deterministic workflow execution for AI agents. Cut token costs 75-95%. Make agents production-ready.
Why Ploston?
📉
94% Token Savings
Multi-step workflows cost 90%+ less than raw agent orchestration. The more steps, the more you save.
📝
YAML Workflows
Define workflows as code. Version control, code review, CI/CD pipelines. No visual builder lock-in.
🔒
Self-Hosted & Secure
Runs in your infrastructure. Your data never leaves your environment. Air-gapped deployments supported.
How It Works
Define workflows in YAML. Ploston exposes them as MCP tools. Your agent calls once, Ploston handles the rest.
❌
Without Ploston
→ LLM calls tool #1 (500 tokens)
← Result flows back to LLM (800 tokens)
→ LLM calls tool #2 (1200 tokens)
← Result flows back to LLM (1500 tokens)
→ LLM calls tool #3...
Total: ~10,000+ tokens
✓
With Ploston
→ LLM calls workflow (300 tokens)
⚡ Ploston executes steps 1, 2, 3... (0 LLM tokens)
← Final result to LLM (300 tokens)
Total: ~600 tokens (94% savings)
Define workflows in YAML
# workflows/summarize-and-store.yaml
name: summarize-and-store
version: "1.0"
steps:
- id: fetch
tool: http_get
params:
url: "{{ inputs.url }}"
- id: summarize
tool: llm_summarize
params:
text: "{{ steps.fetch.output }}"
- id: store
tool: db_insert
params:
table: summaries
data: "{{ steps.summarize.output }}"
output: "{{ steps.store.output }}"
Your agent calls workflow:summarize-and-store once. Ploston handles the rest.
Ploston Pro is coming soon.
⚡ Parallel execution • 📋 Audit logs • 🎯 Priority support
We'll only email you about Ploston. No spam.