Zylos

Zylos (/ˈzaɪ.lɒs/ 赛洛丝) — Give your AI a life

Give your AI a life.

中文

LLMs are geniuses — but they wake up with amnesia every session. No memory of yesterday, no way to reach you, no ability to act on their own.

Zylos gives it a life. Memory that survives restarts. A scheduler that works while you sleep. Communication through Telegram, Lark, or a web console. Self-maintenance that keeps everything running. And because it can program, it can evolve — building new skills, integrating new services, growing alongside you.

More LLMs support are on the way.

Prerequisites: A Linux server (or Mac), a Claude subscription.

curl -fsSL https://raw.githubusercontent.com/zylos-ai/zylos-core/main/scripts/install.sh | bash

This installs everything you need (git, tmux, Node.js, zylos CLI) and automatically runs zylos init to set up your agent.

curl -fsSL https://raw.githubusercontent.com/zylos-ai/zylos-core/main/scripts/install.sh | bash -s -- \
  -y \
  --setup-token sk-ant-oat01-xxx \
  --timezone Asia/Shanghai \
  --domain agent.example.com \
  --https \
  --caddy \
  --web-password MySecurePass123

curl -fsSL https://raw.githubusercontent.com/zylos-ai/zylos-core/main/scripts/install.sh | bash -s -- --no-init

curl -fsSL https://raw.githubusercontent.com/zylos-ai/zylos-core/main/scripts/install.sh | bash -s -- --branch <branch-name>

npm install -g --install-links https://github.com/zylos-ai/zylos-core
zylos init

docker run -d --name zylos \
  -e CLAUDE_CODE_OAUTH_TOKEN=YOUR_TOKEN_HERE \
  -p 3456:3456 \
  -v zylos-data:/home/zylos/zylos \
  -v claude-config:/home/zylos/.claude \
  ghcr.io/zylos-ai/zylos-core:latest

# From your local machine (any OS that runs Claude Code)
claude --ssh user@your-linux-server

> Install Zylos on this machine

curl -fsSL https://raw.githubusercontent.com/zylos-ai/zylos-core/main/scripts/install.sh | bash

zylos init is idempotent and supports both interactive and non-interactive modes. It will:

1. Install missing tools (tmux, git, PM2, Claude Code)
2. Set up Claude authentication (browser login, API key, or setup token for headless servers)
3. Create the ~/zylos/ directory with memory, skills, and services
4. Start all background services and launch Claude in a tmux session

Talk to your agent:

# Interactive CLI — the simplest way to chat
zylos shell

# Or attach to the Claude tmux session (Ctrl+B d to detach)
zylos attach

# Or add a messaging channel
zylos add telegram
zylos add lark

graph TB
    subgraph Channels["📡 Communication Channels"]
        TG["Telegram"]
        LK["Lark"]
        WC["Web Console"]
    end

    subgraph Zylos["🧬 Zylos — The Life System"]
        C4["C4 Comm Bridge<br/>(unified gateway · SQLite audit)"]
        MEM["Memory<br/>(Inside Out architecture)"]
        SCH["Scheduler<br/>(autonomous task dispatch)"]
        AM["Activity Monitor<br/>(guardian · heartbeat · auto-recovery)"]
        HTTP["HTTP Layer<br/>(Caddy · file sharing · HTTPS)"]
    end

    subgraph Brain["🧠 Claude Code — The Brain"]
        CC["Claude Code<br/>(in tmux session)"]
    end

    TG & LK & WC --> C4
    C4 <--> CC
    MEM <--> CC
    SCH --> CC
    AM --> CC
    HTTP <--> CC

Most agent frameworks isolate sessions per channel — your AI on Telegram doesn't know what you said on Slack. Zylos is agent-centric: your AI is one person across every channel. The C4 communication bridge routes all messages through a single gateway — one conversation, one memory, one personality. Every message persisted to SQLite and fully queryable.

Other frameworks lose your AI's memory during context compaction — silently, without warning. Zylos prevents this with a two-step safeguard: when context reaches 75%, the system automatically saves all memory before compaction runs. Five-layer Inside Out memory (identity → state → references → sessions → archive) ensures the AI always knows what to keep and what to compress. Your AI never wakes up with amnesia.

No third-party monitoring tools needed. Zylos includes native crash recovery, heartbeat liveness probes, health monitoring, context window management, and automatic upgrades — all built in. Your AI detects its own problems and fixes them. It stays alive while you sleep.

Other frameworks charge per API token. Community reports show monthly bills of $500–$3,600 for always-on agents. Zylos runs on your Claude subscription — flat rate, no per-token billing. Same AI capabilities, a fraction of the cost.

Zylos builds on Claude Code — Anthropic's official AI agent runtime. When Anthropic ships new capabilities like agent teams, your AI gets them automatically. And because Claude Code can program, your AI writes new skills, integrates services, and evolves with your needs.

• Web Console — Browser-based chat interface. No external accounts needed. Included with zylos init.

Install with one command:

zylos add telegram
zylos add lark

All channels connect through the C4 communication bridge. To add a new channel (Slack, Discord, WhatsApp, etc.), implement the C4 protocol — a simple HTTP interface that pushes messages into the unified gateway. Your custom channel gets the same unified session, audit trail, and memory as every other channel.

zylos init                    # Set up Zylos environment
zylos attach                  # Attach to the Claude tmux session
zylos doctor                  # Diagnose and auto-repair installation
zylos status                  # Check running services
zylos logs [service]          # View service logs
zylos add <component>         # Install a channel or capability
zylos upgrade <component>     # Upgrade a component
zylos uninstall --self        # Uninstall zylos entirely
zylos list                    # List installed components
zylos search [keyword]        # Search component registry

zylos uninstall --self

This will stop all services, remove the zylos npm package, delete ~/zylos/, and clean shell PATH entries. You'll be prompted to optionally remove PM2 and Claude CLI.

Use --force to skip all prompts (only performs core removal, no optional cleanup).

Node.js and nvm are not touched.

Zylos is the open-source core of Coco — the AI employee platform.

We built Zylos because we needed it ourselves: a reliable infrastructure to keep AI running 24/7 for real work. Everything in Zylos is battle-tested in production at Coco, serving teams that depend on AI employees every day.

Want a managed experience? Coco gives you a ready-to-work AI employee — with persistent memory, multi-channel communication, and skill packages — deployed in 5 minutes.

MIT