api.
Everything we've published on api across guides, agents, hardware reviews and glossary entries: 14 entries in total.
Guides (2)
- Kimi Coding Provider + User-Agent SpoofNetwork · 2026-02-18
Configure Kimi Coding API provider for OpenClaw with correct endpoint, User-Agent spoof, and reasoning mode disabled.
- Dashboard via hijack.js (HTTP Intercept)Gateway · 2026-02-18
Inject custom dashboard and status API endpoints into OpenClaw's HTTP server via hijack.js monkey-patching.
Agents (6)
- Nanobot
Personal AI agent in Python (MIT) with a browser UI and chat apps. Native Anthropic, OpenAI and OpenRouter providers plus local servers; its shell sandbox is off until you switch it on.
- NanoClaw
Small TypeScript agent (MIT) built on Anthropic's Claude Agent SDK. Every agent runs in its own Docker container, on macOS, Linux or Windows through WSL2.
- IronClaw
Rust agent from NEAR AI, MIT or Apache-2.0. Untrusted tools run in a WebAssembly sandbox with declared capabilities, and secrets are injected outside them.
- NitroClaw
Managed assistant built on OpenClaw, in Telegram and Discord: $20 a month self-serve, or $100 with setup and a monthly call. AI credits included.
- ClawRift
Managed OpenClaw hosting, live on Telegram (Discord and WhatsApp "Soon"). $19 or $49 a month, $14 or $37 billed yearly. Your own model API key.
- ClawGo
Managed OpenClaw hosting for Telegram, Discord and WhatsApp. No free plan: $20, $49 or $200 a month, with model usage bought separately as credits.
Hardware (2)
- Raspberry Pi 5
Raspberry Pi 5 for self-hosted AI: four Cortex-A76 cores, 1 to 16 GB of LPDDR4X. Hosts Hermes Agent (no browser tool) or Nanobot; local models up to about 3B.
- Old Android phone (Moto E2 et al.)
The PocketClaw origin story device. €15-30 used. Runs lightweight agents via Termux + proot, with serious caveats.
Glossary (4)
- BYOK (Bring Your Own Key) :Pricing pattern where a user supplies their own LLM API keys to a self-hosted or managed agent.
- OpenRouter :LLM API gateway providing a unified interface across Anthropic, OpenAI, Google, Mistral and many open models.
- Local LLM :A language model running on your own hardware instead of behind a cloud API: Llama, Qwen, Mistral and other open-weight models.
- Ollama :Local LLM runtime that exposes an OpenAI-compatible API over local model weights.