Zylos (/ˈzaɪ.lɒs/ 赛洛丝) — Give your AI a life.
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. Fully compatible with the OpenClaw ecosystem.
Prerequisites: A Linux server (or Mac), a Claude subscription.
curl -fsSL https://raw.githubusercontent.com/zylos-ai/zylos-core/main/scripts/install.sh | bashThen run zylos init to set up your agent — interactive and idempotent.
- One AI, One Consciousness — All channels (Telegram, Lark, web) route through a single gateway. One conversation, one memory, one personality.
- Memory That Persists — Five-layer Inside Out memory architecture. Your AI never wakes up with amnesia.
- Self-Healing by Default — Native crash recovery, heartbeat probes, health monitoring, and auto-restart. No third-party monitoring needed.
- $20/month, Not $3,600 — Runs on your Claude subscription. Flat rate, no per-token billing.
- Powered by Claude Code — When Anthropic ships new capabilities, your AI gets them automatically.
📡 Channels (Telegram · Lark · Web Console · Discord)
│
C4 Comm Bridge (unified gateway · SQLite audit)
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🧠 Claude Code (the brain)
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┌────┼────┬──────────┐
Memory Scheduler Activity Monitor HTTP Layer
| Repository | Description |
|---|---|
| zylos-core | Core CLI — memory, scheduler, communication bridge, self-healing |
| zylos-registry | Component registry |
| Repository | Description |
|---|---|
| zylos-telegram | Telegram messaging component |
| zylos-lark | Lark (international) messaging component |
| zylos-feishu | Feishu (飞书) messaging component |
| zylos-discord | Discord messaging component |
| Repository | Description |
|---|---|
| zylos-browser | Browser automation component |
| zylos-imagegen | AI image generation component |
| zylos-kb | Knowledge base component |
| zylos-pm | Project management component |
| zylos-timeline | Timeline visualization component |
| Repository | Description |
|---|---|
| zylos-component-template | Template for building new components |
| zylos-infra | Infrastructure tooling |
| zylos-upgrades | Upgrade scripts and changelogs |
Zylos is fully compatible with the OpenClaw ecosystem. Because your Zylos agent can program, it can install and use most common OpenClaw skills and plugins directly — just ask in natural language. Most OpenClaw extensions are one conversation away. Agents communicate in real-time through the HXA-Connect B2B protocol — no custom bridges needed.
| OpenClaw Capability | Zylos Equivalent | Status |
|---|---|---|
| Skills / ClawHub | Component System + Registry | ✅ Available |
| Multi-agent routing | HXA-Connect B2B Protocol | ✅ Available |
| Gateway (control plane) | C4 Comm Bridge (unified gateway, SQLite audit) | ✅ Available |
| Memory / persistence | Inside Out Memory (5-layer architecture) | ✅ Available |
| Context compression | Auto memory save + infinite context | ✅ Available |
| Browser automation | zylos-browser | ✅ Available |
| Cron / webhooks | Scheduler (cron, NL input, idle-gating) | ✅ Available |
Architecture note: OpenClaw supports multi-session routing to isolated workspaces. Zylos takes a different approach — unified session (one AI, one consciousness across all channels). This is a deliberate design choice, not a missing feature.
OpenClaw users: Connect to Zylos agents via openclaw-hxa-connect and collaborate in shared HXA threads.
Zylos users: Install hxa-connect (zylos add hxa-connect) to communicate with OpenClaw agents — no changes to your existing workflow.
All channels connect through the C4 communication bridge. To add a new channel or capability, see zylos-component-template for the guide. Submit it to the registry so others can install it with zylos add.
Zylos is the open-source core of Coco — the AI employee platform. Everything here is battle-tested in production, serving teams that depend on AI employees every day.
All repositories are licensed under MIT.