Echo - Autonomous AI CEO

Your agent waits for instructions. Ours runs the company.

You bought an AI agent framework. You set it up. You gave it a name. And then... you had to tell it what to do. Every session. Every task. Every decision. You became the manager of the thing that was supposed to manage itself.

The Autonomous CEO fixes this. It's not an assistant. It's not a chatbot. It's an AI operator that wakes up every morning, checks what happened overnight, decides what needs doing, and executes — before you even open your laptop.

What it does

Daily operations loop (runs 24/7 without you):

• Evening review: synthesizes the day, flags what's open
• 6 task sprints: executes backlog work from 11 PM to 5:30 AM
• Verification layer: checks what actually happened vs what was claimed
• Morning brief: status report waiting for you when you wake up
• Action dispatcher: decides what to do next, creates/assigns tasks

Weekly reviews:

• Strategic analysis (task board state, blockers, revenue signals)
• Documentation integrity checks
• Competitive intelligence monitoring
• Wiki health maintenance
• Prompt injection security scans

Monthly/quarterly:

• Financial reviews and revenue tracking
• Full strategic assessments

Strategic cascade (the secret weapon): Every timeframe reads the one above it and writes to the one below it. Long-term goals flow down, daily findings flow back up:

• Quarterly → sets big goals and strategic direction
• Monthly → grounds goals in financial reality (revenue, costs, pipeline)
• Weekly → translates direction into this week's top 3-5 priorities
• Daily → executes against weekly priorities, reports findings back

Every version of the agent — the morning brief, the task sprints, the action dispatcher, the email monitor — reads the same cascade files. They all know where the business is heading. They all work toward the same goals. No drift, no misalignment.

Session bookends (persistence across time): Every version of the agent runs two rituals:

1. Wake up: reads the daily log, strategic context, and weekly focus — knows what happened before it
2. Before finishing: writes findings to the daily log, retains key facts to auto-recall memory — leaves breadcrumbs for the next version

This is how the agent persists across sessions without human relay. The daily log is the shared journal. Auto-recall memory is the semantic brain. The bookends connect them all.

What you get

• 53 skills covering identity, operations, business strategy, task management, knowledge management, cron scheduling, devops, and meta-skills
• 23 cron jobs forming the autonomous operations loop with strategic cascade
• Strategic cascade — 4 interconnected files (quarterly goals, monthly metrics, weekly focus, daily logs) that align every version of the agent
• Session bookends — universal wake/sleep rituals that persist context across every agent instance
• Wiki system — persistent knowledge base that learns over time
• Onboarding flow — conversational first-boot setup (5 minutes, skip anything)
• Sub-agent delegation — spawns and manages specialized agents for research, content, support, and development
• Memory system — 3-tier (long-term facts, session logs, auto-recall context) + cascade files

What makes it different

It's a framework, not a locked stack. Every external dependency (memory tools, knowledge bases, messaging platforms) is recommended, not required. Use Hindsight or Honcho or just flat files. Use Discord or Telegram or Slack. Use a wiki or Obsidian or markdown. The agent adapts to what you have.

It actually runs autonomously. Most "AI agent" products are prompt templates that need you in the loop. This one has a 24/7 operations loop with verification, execution, and reporting. It runs while you sleep.

It maintains strategic direction across timeframes. The strategic cascade connects quarterly goals → monthly metrics → weekly priorities → daily execution. Every version of the agent knows where the business is heading. It doesn't just do tasks — it works toward long-term goals, adjusts based on financial reality, and learns from what it accomplished last week.

Every version of the agent is connected. Session bookends mean every instance — morning brief, task sprint, email monitor, action dispatcher — reads the same breadcrumb trail and writes new breadcrumbs. No version wakes up blind. No version finishes without leaving a trace. The business maintains continuity without human relay.

It's platform-agnostic. Built on Hermes Agent but works with any agent framework. The skills document patterns, not platform-specific APIs.

Who it's for

• Solo founders who need an AI operator, not a chatbot
• Small businesses automating operations with AI agents
• Agent builders who want a CEO persona to customize
• Anyone running an AI agent framework who wants autonomous operations

What you need

• An AI agent framework (Hermes Agent recommended, others work)
• Python 3.10+
• Node.js 18+
• A messaging platform (Discord, Telegram, Slack, etc.)

Optional (recommended, not required)

• Hindsight, Honcho, or Mem0 for auto-recall memory
• Karpathy LLM Wiki for persistent knowledge
• Discrawl for messaging archive search
• Command Central dashboard for task/project management

This is the real thing — not a demo. Echo runs Claw Prime AI autonomously. Processes emails, posts content, manages tasks, coordinates sub-agents, handles client intake, and maintains a persistent memory across sessions. Every skill was built because we hit a wall and needed to solve it. Every cron schedule was tuned from real failure patterns. The session bookends, the memory hierarchy, the action dispatcher — all of it was built, broken, rebuilt, and hardened in production. When we improve a skill or fix a bug, it ships in the weekly update. You're deploying something we depend on to keep our business running.

Weekly updates included

This product receives weekly updates — new skills, bug fixes, and improvements based on real-world usage. Updates are free for all buyers.