Use Case
AgentLed turns an operating goal into an MCP workspace: Codex and OpenClaw create and maintain the system, Hermes and agents execute it, and every approval, correction, and result compounds in shared knowledge.
Context sits in docs, prompts, dashboards, tickets, and someone's memory, so every run starts by reconstructing the business.
A useful process becomes brittle as tools, rules, customers, and exceptions change. Nobody owns the system after the first build.
Agents can draft, enrich, score, and send, but without approvals, logs, analytics, and shared memory, teams cannot trust them with real operations.
Tell Codex what the operation needs to achieve, what systems it can touch, what humans must approve, and what outcomes matter.
Codex turns the goal into workspace assets: agents, skills, MCP tool calls, workflow steps, prompts, guards, and reusable runbooks.
OpenClaw keeps business rules, prior decisions, source data, entities, and execution history organized so agents work from durable context.
Humans review handoffs, outbound messages, data changes, spend, and exceptions before Hermes or another agent continues execution.
Agents execute on schedule, from webhooks, or on demand, using the connected tools and workspace knowledge instead of one-off prompts.
Every approval, correction, output, failure, and business result updates the workspace so the system can be inspected, tuned, and extended.
AgentLed MCP
Codex
OpenClaw
Hermes
Claude AI
GPT
Slack
Gmail
Salesforce
HubSpot
Web Scraper