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πŸ™ Give your AI a life β€” open-source agent infrastructure for team collaboration.

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Zylos

Zylos

Zylos (/ˈzaΙͺ.lΙ’s/ 衛洛丝) β€” Give your AI a life

Give your AI a life.

License: MIT Discord X Website Built by Coco

δΈ­ζ–‡


LLMs are geniuses β€” 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 β€” building new skills, integrating new services, growing alongside you.

More LLMs support are on the way.


Quick Start

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.

Non-interactive install (Docker, CI/CD, headless servers)

All zylos init flags can be passed directly through the install script. The script installs dependencies, then runs zylos init with the flags you provide.

Full example:

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

When is non-interactive mode active?

Automatically when no TTY is available β€” e.g. Docker containers (without -it), CI runners, or cron jobs. Also when CI=true or NONINTERACTIVE=1 is set. Note: curl | bash in a terminal is still interactive (the install script redirects from /dev/tty). Use -y to force non-interactive in a terminal.

Flags:

Flag Description Default
-y, --yes Force non-interactive mode (skip all prompts) Auto-detected
-q, --quiet Minimal output Off
--setup-token <token> Claude setup token (starts with sk-ant-oat) β€”
--api-key <key> Anthropic API key (starts with sk-ant-) β€”
--timezone <tz> IANA timezone, e.g. Asia/Shanghai, America/New_York, Europe/London System default
--domain <domain> Domain for Caddy reverse proxy, e.g. agent.example.com None
--https / --no-https Enable or disable HTTPS --https when domain is set
--caddy / --no-caddy Install or skip Caddy web server Install
--web-password <pass> Web console password Auto-generated

Environment variables:

Flags can also be set via environment variables. Resolution order: CLI flag > env var > existing .env > interactive prompt.

Environment Variable Equivalent Flag
CLAUDE_CODE_OAUTH_TOKEN --setup-token
ANTHROPIC_API_KEY --api-key
ZYLOS_DOMAIN --domain
ZYLOS_PROTOCOL (https or http) --https / --no-https
ZYLOS_WEB_PASSWORD --web-password

Exit codes: 0 = success, 1 = fatal error (e.g. invalid token), 2 = partial success (e.g. Caddy download failed but everything else succeeded).

Install without running init
curl -fsSL https://raw.githubusercontent.com/zylos-ai/zylos-core/main/scripts/install.sh | bash -s -- --no-init

Installs dependencies and the zylos CLI, but skips zylos init. Run zylos init separately when ready.

Install from a specific branch (for testing)
curl -fsSL https://raw.githubusercontent.com/zylos-ai/zylos-core/main/scripts/install.sh | bash -s -- --branch <branch-name>
Manual install (if you already have Node.js >= 20)
npm install -g --install-links https://github.com/zylos-ai/zylos-core?target=https://github.com
zylos init

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:

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

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

Architecture

Zylos Architecture
graph TB
    subgraph Channels["πŸ“‘ Communication Channels"]
        TG["Telegram"]
        LK["Lark"]
        WC["Web Console"]
    end

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

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

    TG & LK & WC --> C4
    C4 <--> CC
    MEM <--> CC
    SCH --> CC
    AM --> CC
    HTTP <--> CC
Loading
Component Role Key Tech
C4 Comm Bridge Unified message gateway with audit trail SQLite, priority queue
Memory Persistent identity and context across restarts Inside Out tiered architecture
Scheduler Autonomous task dispatch while you are away Cron, NL input, idle-gating
Activity Monitor Crash recovery, heartbeat, health checks PM2, multi-layer protection
HTTP Layer Web access, file sharing, component routes Caddy, auto-HTTPS

Features

One AI, One Consciousness

Unified Context

Most agent frameworks isolate sessions per channel β€” 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 β€” one conversation, one memory, one personality. Every message persisted to SQLite and fully queryable.

Your Context, Guaranteed

Inside Out Memory Infinite Context

Other frameworks lose your AI's memory during context compaction β€” 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 β†’ state β†’ references β†’ sessions β†’ archive) ensures the AI always knows what to keep and what to compress. Your AI never wakes up with amnesia.

Self-Healing by Default

Lifecycle Management

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

$20/month, Not $3,600

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 β€” flat rate, no per-token billing. Same AI capabilities, a fraction of the cost.

Powered by Claude Code

Zylos builds on Claude Code β€” 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.


Communication Channels

Built-in

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

Official Channels

Install with one command:

zylos add telegram
zylos add lark

Build Your Own

All channels connect through the C4 communication bridge. To add a new channel (Slack, Discord, WhatsApp, etc.), implement the C4 protocol β€” 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.


CLI

zylos init                    # Set up Zylos environment
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 list                    # List installed components
zylos search [keyword]        # Search component registry

Built by Coco

Zylos is the open-source core of Coco β€” 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 β€” with persistent memory, multi-channel communication, and skill packages β€” deployed in 5 minutes.

License

MIT

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πŸ™ Give your AI a life β€” open-source agent infrastructure for team collaboration.

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