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Ultra-lightweight AI assistant in Go that runs on $10 hardware with <10MB RAM, supporting multiple LLM providers, tools, and single-binary deployment across...

开发与 DevOps

许可证:MIT-0

MIT-0 ·免费使用、修改和重新分发。无需归因。

版本:v1.0.0

统计:⭐ 0 · 39 · 1 current installs · 1 all-time installs

0

安装量(当前) 1

🛡 VirusTotal :良性 · OpenClaw :良性

Package:adisinghstudent/picoclaw-ai-assistant

安全扫描(ClawHub)

  • VirusTotal :良性
  • OpenClaw :良性

OpenClaw 评估

The SKILL.md instructions and the skill's stated purpose are broadly consistent (it documents building/running a tiny Go AI assistant), but the registry metadata omits environment requirements and there are some standard operational risks (downloading/running binaries, exposing a gateway) you should review before installing.

目的

The name/description (ultra-lightweight Go assistant) matches the SKILL.md: instructions show downloading a prebuilt single binary, building from source, and running via Docker/CLI. The referenced features (multiple LLM providers, web tools, config file layout) are present in the docs and make sense for the stated purpose.

说明范围

The instructions direct the agent/user to network actions (wget from GitHub releases, git clone, docker compose, make build) and to create/edit ~/.picoclaw/config.json which will contain API key references. The steps stay within the skill's functional scope and do not instruct arbitrary system-wide reads or exfiltration, but they do ask the user to place provider API keys in config or env vars and to optionally expose a gateway (PICOCLAW_GATEW…

安装机制

There is no platform install spec in the registry; SKILL.md relies on downloading a precompiled binary from a GitHub Releases URL and building from source via git/make/docker. Using GitHub releases is a common pattern and acceptable, but running binaries downloaded over the network without verifying checksums or signatures is a standard supply-chain risk the user should mitigate (build from source or verify release).

证书

Registry metadata lists no required environment variables, yet the SKILL.md and example config reference multiple provider env vars (OPENAI_API_KEY, ANTHROPIC_API_KEY, VOLCENGINE_API_KEY, BRAVE_API_KEY, TAVILY_API_KEY, PICOCLAW_GATEWAY_HOST). This is likely an omission in metadata; the skill legitimately needs API keys to contact LLM providers, but the mismatch means the registry does not accurately declare what secrets the runtime will use. A…

持久

The skill is instruction-only and not marked always:true. It creates a per-user config (~/.picoclaw) and exposes a gateway option; it does not request elevated, system-wide privileges or modify other skills. The ability to expose a network gateway is a normal feature but requires caution (see guidance).

综合结论

This skill is mostly coherent with what it says, but take these precautions before installing: - Verify the upstream project and release: confirm the referenced GitHub repo and the release tag (v0.1.1) exist and look legitimate. Prefer building from source (git clone + make) if you can inspect the code. - When downloading binaries, verify checksums/signatures or build locally rather than running an unsigned download. - The SKILL.md uses enviro…

安装(复制给龙虾 AI)

将下方整段复制到龙虾中文库对话中,由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库(龙虾 AI)执行:为本机安装 OpenClaw 技能「picoclaw-ai-assistant」。简介:Ultra-lightweight AI assistant in Go that runs on $10 hardware with。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装:https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/adisinghstudent/picoclaw-ai-assistant/SKILL.md
(来源:yingzhi8.cn 技能库)

SKILL.md

打开原始 SKILL.md(GitHub raw)

---
name: picoclaw-ai-assistant
description: Ultra-lightweight AI assistant in Go that runs on $10 hardware with <10MB RAM, supporting multiple LLM providers, tools, and single-binary deployment across RISC-V, ARM, MIPS, and x86.
triggers:
  - "set up picoclaw on my device"
  - "configure picoclaw with my API key"
  - "deploy picoclaw on raspberry pi"
  - "build picoclaw from source"
  - "add a new LLM provider to picoclaw"
  - "run picoclaw in docker"
  - "picoclaw web search tool setup"
  - "picoclaw memory and workspace configuration"
---

# PicoClaw AI Assistant

> Skill by [ara.so](https://ara.so) — Daily 2026 Skills collection.

PicoClaw is an ultra-lightweight personal AI assistant written in Go. It runs on $10 hardware with under 10MB RAM and boots in under 1 second. It supports multiple LLM providers (OpenAI-compatible, Anthropic, Volcengine), optional web search tools, and deploys as a single self-contained binary on x86_64, ARM64, MIPS, and RISC-V Linux devices.

---

## Installation

### Precompiled Binary

Download from the [releases page](https://github.com/sipeed/picoclaw/releases):

```bash
# Linux ARM64 (Raspberry Pi, LicheeRV-Nano, etc.)
wget https://github.com/sipeed/picoclaw/releases/download/v0.1.1/picoclaw-linux-arm64
chmod +x picoclaw-linux-arm64
./picoclaw-linux-arm64 onboard
```

### Build from Source

```bash
git clone https://github.com/sipeed/picoclaw.git
cd picoclaw

# Install dependencies
make deps

# Build for current platform
make build

# Build for all platforms
make build-all

# Raspberry Pi Zero 2 W — 32-bit
make build-linux-arm      # → build/picoclaw-linux-arm

# Raspberry Pi Zero 2 W — 64-bit
make build-linux-arm64    # → build/picoclaw-linux-arm64

# Build both Pi Zero variants
make build-pi-zero

# Build and install to system PATH
make install
```

### Docker Compose

```bash
git clone https://github.com/sipeed/picoclaw.git
cd picoclaw

# First run — generates docker/data/config.json then exits
docker compose -f docker/docker-compose.yml --profile gateway up

# Edit config
vim docker/data/config.json

# Start in background
docker compose -f docker/docker-compose.yml --profile gateway up -d

# View logs
docker compose -f docker/docker-compose.yml logs -f picoclaw-gateway

# Stop
docker compose -f docker/docker-compose.yml --profile gateway down
```

#### Docker: Web Console (Launcher Mode)

```bash
docker compose -f docker/docker-compose.yml --profile launcher up -d
# Open http://localhost:18800
```

#### Docker: One-shot Agent Mode

```bash
# Single question
docker compose -f docker/docker-compose.yml run --rm picoclaw-agent -m "What is 2+2?"

# Interactive session
docker compose -f docker/docker-compose.yml run --rm picoclaw-agent
```

#### Docker: Expose Gateway to Host

If the gateway needs to be reachable from the host, set:

```bash
PICOCLAW_GATEWAY_HOST=0.0.0.0 docker compose -f docker/docker-compose.yml --profile gateway up -d
```

Or set `PICOCLAW_GATEWAY_HOST=0.0.0.0` in `docker/data/config.json`.

### Termux (Android)

```bash
pkg install wget proot
wget https://github.com/sipeed/picoclaw/releases/download/v0.1.1/picoclaw-linux-arm64
chmod +x picoclaw-linux-arm64
termux-chroot ./picoclaw-linux-arm64 onboard
```

---

## Quick Start

### 1. Initialize

```bash
picoclaw onboard
```

This creates `~/.picoclaw/config.json` with a starter configuration.

### 2. Configure `~/.picoclaw/config.json`

```json
{
  "agents": {
    "defaults": {
      "workspace": "~/.picoclaw/workspace",
      "model_name": "gpt-4o",
      "max_tokens": 8192,
      "temperature": 0.7,
      "max_tool_iterations": 20
    }
  },
  "model_list": [
    {
      "model_name": "gpt-4o",
      "model": "openai/gpt-4o",
      "api_key": "$OPENAI_API_KEY",
      "request_timeout": 300
    },
    {
      "model_name": "claude-sonnet",
      "model": "anthropic/claude-sonnet-4-5",
      "api_key": "$ANTHROPIC_API_KEY"
    },
    {
      "model_name": "ark-code",
      "model": "volcengine/ark-code-latest",
      "api_key": "$VOLCENGINE_API_KEY",
      "api_base": "https://ark.cn-beijing.volces.com/api/coding/v3"
    }
  ],
  "tools": {
    "web": {
      "brave": {
        "enabled": false,
        "api_key": "$BRAVE_API_KEY"
      },
      "tavily": {
        "enabled": false,
        "api_key": "$TAVILY_API_KEY"
      }
    }
  }
}
```

> Never hard-code API keys. Reference environment variables using `$VAR_NAME` notation in config, or set them in your shell environment before launch.

### 3. Run

```bash
# Interactive chat
picoclaw

# Single message
picoclaw -m "Summarize the latest Go release notes"

# Use a specific model
picoclaw -model claude-sonnet -m "Refactor this function for clarity"
```

---

## Key CLI Commands

| Command | Description |
|---|---|
| `picoclaw onboard` | Initialize config and workspace |
| `picoclaw` | Start interactive chat session |
| `picoclaw -m "..."` | Send a single message and exit |
| `picoclaw -model <name>` | Override the default model |
| `picoclaw -config <path>` | Use a custom config file |

---

## Configuration Reference

### Model Entry Fields

```json
{
  "model_name": "my-model",        // Alias used in -model flag and agent defaults
  "model": "provider/model-id",    // Provider-prefixed model identifier
  "api_key": "$ENV_VAR",           // API key — use env var reference
  "api_base": "https://...",       // Optional: override base URL (for self-hosted or regional endpoints)
  "request_timeout": 300           // Optional: seconds before timeout
}
```

### Supported Provider Prefixes

| Prefix | Provider |
|---|---|
| `openai/` | OpenAI and OpenAI-compatible APIs |
| `anthropic/` | Anthropic Claude |
| `volcengine/` | Volcengine (Ark) |

### Agent Defaults

```json
"agents": {
  "defaults": {
    "workspace": "~/.picoclaw/workspace",  // Working directory for file operations
    "model_name": "gpt-4o",                // Default model alias
    "max_tokens": 8192,                    // Max response tokens
    "temperature": 0.7,                    // Sampling temperature
    "max_tool_iterations": 20              // Max agentic tool-call loop iterations
  }
}
```

### Web Search Tools

Get free API keys:
- **Tavily**: https://tavily.com — 1,000 free queries/month
- **Brave Search**: https://brave.com/search/api — 2,000 free queries/month

```json
"tools": {
  "web": {
    "tavily": {
      "enabled": true,
      "api_key": "$TAVILY_API_KEY"
    },
    "brave": {
      "enabled": false,
      "api_key": "$BRAVE_API_KEY"
    }
  }
}
```

Only enable one search provider at a time unless you want fallback behavior.

---

## Common Patterns

### Pattern: Minimal $10 Device Setup

For a LicheeRV-Nano or similar ultra-low-resource board:

```bash
# Download the RISC-V or ARM binary from releases
wget https://github.com/sipeed/picoclaw/releases/download/v0.1.1/picoclaw-linux-riscv64
chmod +x picoclaw-linux-riscv64

# Initialize
./picoclaw-linux-riscv64 onboard

# Edit config — use a lightweight model, low max_tokens
cat > ~/.picoclaw/config.json << 'EOF'
{
  "agents": {
    "defaults": {
      "workspace": "~/.picoclaw/workspace",
      "model_name": "gpt-4o-mini",
      "max_tokens": 2048,
      "temperature": 0.5,
      "max_tool_iterations": 10
    }
  },
  "model_list": [
    {
      "model_name": "gpt-4o-mini",
      "model": "openai/gpt-4o-mini",
      "api_key": "$OPENAI_API_KEY",
      "request_timeout": 120
    }
  ]
}
EOF

./picoclaw-linux-riscv64
```

### Pattern: Full-Stack Dev Assistant with Web Search

```json
{
  "agents": {
    "defaults": {
      "workspace": "~/projects",
      "model_name": "claude-sonnet",
      "max_tokens": 8192,
      "temperature": 0.3,
      "max_tool_iterations": 30
    }
  },
  "model_list": [
    {
      "model_name": "claude-sonnet",
      "model": "anthropic/claude-sonnet-4-5",
      "api_key": "$ANTHROPIC_API_KEY",
      "request_timeout": 600
    }
  ],
  "tools": {
    "web": {
      "tavily": {
        "enabled": true,
        "api_key": "$TAVILY_API_KEY"
      }
    }
  }
}
```

### Pattern: Docker with Environment Variables

```yaml
# docker/docker-compose.override.yml
services:
  picoclaw-gateway:
    environment:
      - OPENAI_API_KEY=${OPENAI_API_KEY}
      - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
      - TAVILY_API_KEY=${TAVILY_API_KEY}
      - PICOCLAW_GATEWAY_HOST=0.0.0.0
```

```bash
export OPENAI_API_KEY=sk-...
export ANTHROPIC_API_KEY=sk-ant-...
docker compose -f docker/docker-compose.yml -f docker/docker-compose.override.yml --profile gateway up -d
```

### Pattern: Build for a Specific Target in Go

```bash
# Cross-compile for MIPS (OpenWRT routers)
GOOS=linux GOARCH=mips GOMIPS=softfloat go build -o build/picoclaw-linux-mips ./cmd/picoclaw

# Cross-compile for 32-bit ARM (older Raspberry Pi)
GOOS=linux GOARCH=arm GOARM=7 go build -o build/picoclaw-linux-arm ./cmd/picoclaw

# Cross-compile for RISC-V 64-bit
GOOS=linux GOARCH=riscv64 go build -o build/picoclaw-linux-riscv64 ./cmd/picoclaw
```

---

## Troubleshooting

### Binary won't execute on device

```bash
# Verify the binary matches the device architecture
file picoclaw-linux-arm64
uname -m   # Should match: aarch64 = arm64, x86_64 = amd64

# Ensure executable permission
chmod +x picoclaw-linux-arm64
```

### "Permission denied" on Termux

Termux requires `proot` for some system calls:

```bash
pkg install proot
termux-chroot ./picoclaw-linux-arm64 onboard
```

### API key not recognized

- Do not use `"api_key": "sk-..."` literals in config — set env vars and reference them as `"$OPENAI_API_KEY"`.
- Verify the env var is exported in your current shell: `echo $OPENAI_API_KEY`.

### Docker gateway not reachable from host

Set `PICOCLAW_GATEWAY_HOST=0.0.0.0` in the environment or in `config.json` before starting the container.

### High memory usage in recent versions

The project notes that recent PRs may push RAM usage to 10–20MB. If this is a concern on ultra-low-memory devices, pin to an earlier release tag:

```bash
git checkout v0.1.1
make build
```

### Config file location

Default: `~/.picoclaw/config.json`

Override at runtime:

```bash
picoclaw -config /path/to/custom-config.json
```

### Rebuild after dependency changes

```bash
cd picoclaw
make deps
make build
```

---

## Hardware Targets Quick Reference

| Device | Price | Binary |
|---|---|---|
| LicheeRV-Nano (E/W) | ~$10 | `picoclaw-linux-riscv64` |
| NanoKVM | ~$30–50 | `picoclaw-linux-riscv64` |
| MaixCAM / MaixCAM2 | ~$50–100 | `picoclaw-linux-arm64` |
| Raspberry Pi Zero 2 W (32-bit OS) | ~$15 | `picoclaw-linux-arm` |
| Raspberry Pi Zero 2 W (64-bit OS) | ~$15 | `picoclaw-linux-arm64` |
| Android via Termux | — | `picoclaw-linux-arm64` |
| Standard Linux x86_64 | — | `picoclaw-linux-amd64` |