ZeroClaw Logo

ZeroClaw

Null Overhead. Null Kompromisse.

Die meisten KI-Agenten verbrauchen ein Gigabyte RAM. Dieser läuft mit vier Megabyte. Ein einzelnes Rust-Binary, 10ms Kaltstart, 30+ Kanäle, jedes KI-Modell. Läuft auf einem $10 Raspberry Pi oder in der Produktions-Cloud — kein Node.js, kein Python, null Kompromisse.

Schnellstart

BETA
# macOS via Homebrew. One command. 🦀
$ brew install zeroclaw

Single Rust binary. No runtime dependencies.

Fähigkeiten

memory

Schlanke Runtime

<5MB Speicherverbrauch bei Release-Builds. 99% kleiner als OpenClaw. Läuft auf $10-Hardware — ARM, x86 und RISC-V.

chat_bubble

Jeder Kanal

Telegram, Discord, Slack, WhatsApp, Signal, iMessage, Matrix, IRC, Lark, DingTalk, QQ, Nostr, E-Mail und mehr.

database

Hybrides Memory

SQLite-basierte Vektor- + Keyword-Hybridsuche. Null externe Abhängigkeiten — kein Pinecone, kein Elasticsearch, kein LangChain.

swap_horiz

Vollständig austauschbar

Jedes Subsystem ist ein Trait — Provider, Channels, Tools, Memory, Tunnels. Implementierungen per Konfigurationsänderung tauschen, null Code-Änderungen.

shield

Sicher by Design

Gateway-Pairing, striktes Sandboxing, explizite Allowlists, Workspace-Scoping, verschlüsselte Secrets. Deny-by-Default-Channel-Policy.

bolt

Schnelle Kaltstarts

Single-Binary Rust-Runtime. Nahezu sofortiger Start für den täglichen Betrieb. 400x schneller als OpenClaw auf vergleichbarer Hardware.

Was andere sagen

@rustacean_dev avatar

"ZeroClaw uses 4MB of RAM. OpenClaw uses over 1GB. That's not an optimization — that's a completely different class of software. Running it on my Raspberry Pi Zero with zero issues."

@rustacean_dev
@devops_mike avatar

"Deployed ZeroClaw on a $10 Orange Pi. It handles Telegram + Discord + Slack channels simultaneously with <5MB memory. My OpenClaw setup needed a $599 Mac mini for the same thing."

@devops_mike
@sarahcodes avatar

"The trait-driven architecture is brilliant. Swapped from OpenAI to a local Ollama model by changing one line in config.toml. No code changes, no recompile. Just works."

@sarahcodes
@cloud_native_tom avatar

"Cold start in under 10ms. I measured it. My Node.js agent takes 8 seconds. ZeroClaw's single binary approach is exactly what edge deployment needs."

@cloud_native_tom
@security_emma avatar

"Finally an AI agent that takes security seriously. Gateway pairing, deny-by-default allowlists, workspace scoping, symlink escape detection. This is how it should be done."

@security_emma
@embedded_chris avatar

"Running ZeroClaw on ARM64, x86, and even RISC-V boards. Same binary workflow everywhere. The portable architecture is a game changer for IoT agent deployments."

@embedded_chris
@rustacean_dev avatar

"ZeroClaw uses 4MB of RAM. OpenClaw uses over 1GB. That's not an optimization — that's a completely different class of software. Running it on my Raspberry Pi Zero with zero issues."

@rustacean_dev
@devops_mike avatar

"Deployed ZeroClaw on a $10 Orange Pi. It handles Telegram + Discord + Slack channels simultaneously with <5MB memory. My OpenClaw setup needed a $599 Mac mini for the same thing."

@devops_mike
@sarahcodes avatar

"The trait-driven architecture is brilliant. Swapped from OpenAI to a local Ollama model by changing one line in config.toml. No code changes, no recompile. Just works."

@sarahcodes
@cloud_native_tom avatar

"Cold start in under 10ms. I measured it. My Node.js agent takes 8 seconds. ZeroClaw's single binary approach is exactly what edge deployment needs."

@cloud_native_tom
@security_emma avatar

"Finally an AI agent that takes security seriously. Gateway pairing, deny-by-default allowlists, workspace scoping, symlink escape detection. This is how it should be done."

@security_emma
@embedded_chris avatar

"Running ZeroClaw on ARM64, x86, and even RISC-V boards. Same binary workflow everywhere. The portable architecture is a game changer for IoT agent deployments."

@embedded_chris
@ivanfioravanti avatar

"The hybrid memory system blew my mind. SQLite vector search + FTS5 keyword search, zero external dependencies. No Pinecone, no Elasticsearch. Just a single file."

@ivanfioravanti
@startup_alex avatar

"Migrated from OpenClaw to ZeroClaw in 20 minutes. 'zeroclaw migrate openclaw --dry-run' showed exactly what would change. Memory, config, everything carried over cleanly."

@startup_alex
@data_lisa avatar

"17 channels supported out of the box. Telegram, Discord, Slack, WhatsApp, Signal, Matrix, IRC, Lark, DingTalk, QQ, Nostr... I've never seen this level of integration coverage."

@data_lisa
@homelab_dan avatar

"ZeroClaw as a systemd service on my home server. Always on, <5MB footprint, handles all my home automation through natural language. This is the future of personal AI."

@homelab_dan
@mobile_chris avatar

"The Docker sandboxed runtime option is perfect for multi-tenant setups. Each user gets their own isolated ZeroClaw instance. Security without complexity."

@mobile_chris
@backend_ninja avatar

"Built by Harvard and MIT students, and it shows. The code quality, the architecture decisions, the documentation — everything is production-grade from day one."

@backend_ninja
@ivanfioravanti avatar

"The hybrid memory system blew my mind. SQLite vector search + FTS5 keyword search, zero external dependencies. No Pinecone, no Elasticsearch. Just a single file."

@ivanfioravanti
@startup_alex avatar

"Migrated from OpenClaw to ZeroClaw in 20 minutes. 'zeroclaw migrate openclaw --dry-run' showed exactly what would change. Memory, config, everything carried over cleanly."

@startup_alex
@data_lisa avatar

"17 channels supported out of the box. Telegram, Discord, Slack, WhatsApp, Signal, Matrix, IRC, Lark, DingTalk, QQ, Nostr... I've never seen this level of integration coverage."

@data_lisa
@homelab_dan avatar

"ZeroClaw as a systemd service on my home server. Always on, <5MB footprint, handles all my home automation through natural language. This is the future of personal AI."

@homelab_dan
@mobile_chris avatar

"The Docker sandboxed runtime option is perfect for multi-tenant setups. Each user gets their own isolated ZeroClaw instance. Security without complexity."

@mobile_chris
@backend_ninja avatar

"Built by Harvard and MIT students, and it shows. The code quality, the architecture decisions, the documentation — everything is production-grade from day one."

@backend_ninja

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