louisho5/picobot

Dernière activité source enregistrée: 12 février 2026 à 17:32

Catalogue SkillsMP mis à jour: 29 octobre 2026 à 18:30

skills collectés: 3

Étoiles GitHub: 1 345
Forks GitHub: 168

Installer avec un assistant IA

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Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/louisho5/picobot.

README du dépôt

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<img src="docs/logo.png" alt="Picobot" width="250" height="150"> <h1 align="center">Picobot</h1> The AI agent that runs anywhere — even on a $5 VPS. <img src="https://img.shields.io/badge/binary-~9MB-brightgreen" alt="Binary Size"> <img src="https://img.shields.io/badge/RAM-~10MB-orange" alt="Memory Usage"> <img src="https://img.shields.io/badge/built_with-Go-00ADD8?logo=go" alt="Go"> <img src="https://img.shields.io/badge/license-MIT-yellow" alt="License"> <img src="https://img.shields.io/docker/pulls/louisho5/picobot?logo=docker" alt="Docker Pulls"> <img src="https://github.com/louisho5/picobot/actions/workflows/docker-publish.yml/badge.svg" alt="Workflow"> --- Love the idea of open-source AI agents like [OpenClaw](https://github.com/openclaw/openclaw) but tired of the bloat? **Picobot** gives you the same power — persistent memory, tool calling, skills, Telegram and Discord integration — in a single ~9MB binary that boots in milliseconds. No Python. No Node. No 500MB container. Just one Go binary and a config file. ## Why Picobot? | | Picobot | Typical Agent Frameworks | |---|---|---| | **Binary size** | ~9MB | 200MB+ (Python + deps) | | **Docker image** | ~29MB (Alpine) | 500MB–1GB+ | | **Cold start** | Instant | 5–30 seconds | | **RAM usage** | ~10MB idle | 200MB–1GB | | **Dependencies** | Zero (single binary) | Python, pip, venv, Node… | Picobot runs happily on a **$5/mo VPS**, a Raspberry Pi, or even an old Android phone via Termux. ## Quick Start — 30 seconds ### Docker Run ```sh docker run -d --name picobot \ -e OPENAI_API_KEY="your-key" \ -e OPENAI_API_BASE="https://openrouter.ai/api/v1" \ -e PICOBOT_MODEL="openrouter/free" \ -e PICOBOT_MAX_TOKENS=8192 \ -e PICOBOT_MAX_TOOL_ITERATIONS=100 \ -e TELEGRAM_BOT_TOKEN="your-telegram-token" \ -v ./picobot-data:/home/picobot/.picobot \ --restart unless-stopped \ louisho5/picobot:latest ``` All config, memory, and skills are persisted in `./picobot-data` on your host. ### Docker Compose Create a `docker-compose.yml`: ```yaml services: picobot: image: louisho5/picobot:latest container_name: picobot restart: unless-stopped environment: - OPENAI_API_KEY=your-key - OPENAI_API_BASE=https://openrouter.ai/api/v1 - PICOBOT_MODEL=openrouter/free - PICOBOT_MAX_TOKENS=8192 - PICOBOT_MAX_TOOL_ITERATIONS=100 - TELEGRAM_BOT_TOKEN=your-telegram-token - TELEGRAM_ALLOW_FROM=your-user-id volumes: - ./picobot-data:/home/picobot/.picobot ``` Then run: ```sh docker compose up -d ``` ### From Source ```sh go build -o picobot ./cmd/picobot ./picobot onboard # creates ~/.picobot config + workspace ./picobot agent -m "Hello!" # single-shot query ./picobot channels login # login to channels (Telegram, Discord, Slack, WhatsApp) ./picobot gateway # long-running mode with Telegram ``` ## Architecture Actually the logic is simple and straightforward. Messages flow through a **Chat Hub** (inbound/outbound channels) into the **Agent Loop**, which builds context from memory/sessions/skills, calls the LLM via OpenAI-compatible API, and executes tools (filesystem, exec, web, etc.) before sending replies back through the hub. <img src="docs/how-it-works.png" alt="How Picobot Works" width="600"> Notes: Channel refers to communication channels (e.g., Telegram, Discord, Slack, WhatsApp, etc.). ## Features ### 16 Built-in Tools + MCP Extensions The agent can take real actions — not just chat: | Tool | What it does | |------|-------------| | `filesystem` | Read, write, list files | | `exec` | Run shell commands | | `web` | Fetch web pages and APIs | | `web_search` | Search the web via DuckDuckGo | | `message` | Send messages to channels | | `spawn` | Launch background subagents | | `cron` | Schedule recurring tasks | | `write_memory` | Persist information across sessions | | `list_memory` | List all memory files | | `read_memory` | Read a specific memory file | | `edit_memory` | Find and replace text in a memory file | | `delete_memory` | Delete a daily memory file | | `create_skill` | Create reusable skill packages | | `list_skills` | List available skills | | `read_skill` | Read a skill's content | | `delete_skill` | Remove a skill | **MCP Servers:** extend the agent with any [MCP-compliant](https://modelcontextprotocol.io) server — `npx`, `uvx`, a plain binary, `docker run`, or an HTTP endpoint. Tools are registered automatically as `mcp_{server}_{tool}` at startup. See [CONFIG.md](docs/CONFIG.md#mcpservers). ### Persistent Memory Picobot remembers things between conversations: - **Daily notes** — auto-organized by date - **Long-term memory** — survives restarts - **Ranked recall** — retrieves the most relevant memories for each query ```sh picobot memory recent --days 7 # what happened this week? picobot memory rank -q "meeting" # find relevant memories ``` ### Skills System Teach your agent new tricks. Skills are modular knowledge packages that extend the agent: ```sh You: "Create a skill for checking weather using curl wttr.in" Agent: Created skill "weather" — I'll use it from now on. ``` Skills are just markdown files in `~/.picobot/workspace/skills/`. Create them via the agent or manually. ### Telegram Integration Chat with your agent from your phone. Set up in 2 minutes: 1. Message [@BotFather](https://t.me/BotFather) — `/newbot` — copy the token 2. Add the token to config or pass as `TELEGRAM_BOT_TOKEN` env var 3. Start the communication gateway See [HOW_TO_START.md](docs/HOW_TO_START.md) for a detailed BotFather walkthrough. ### Discord Integration Connect your agent to Discord servers: 1. Go to [Discord Developer Portal](https://discord.com/developers/applications) 2. Create a new application and bot 3. Enable **Message Content Intent** in Bot settings 4. Copy the bot token 5. Add to config under `channels.discord` in your `config.json` The bot will respond when mentioned in servers, or to all messages in DMs. See [HOW_TO_START.md](docs/HOW_TO_START.md) for a detailed Discord Bot walkthrough. ### Slack Integration Connect your agent to Slack via Socket Mode: 1. Go to [Slack API Apps](https://api.slack.com/apps) and create an app 2. Enable **Socket Mode** and generate an App-Level Token (`xapp-...`) 3. Add Bot Token scopes: `app_mentions:read`, `chat:write`, `channels:history`, `groups:history`, `im:history`, `mpim:history`, `files:read` 4. Enable Event Subscriptions and subscribe to: `app_mention`, `message.im` 5. Install the app to your workspace and copy the Bot Token (`xoxb-...`) 6. Add to config under `channels.slack` in your `config.json` The bot responds when mentioned in channels, and responds to all DMs from allowed users (DMs ignore the channel allowlist). ### Heartbeat A configurable periodic check (default: 60s) that reads `HEARTBEAT.md` for scheduled tasks — like a personal cron with natural language. ## Configuration Picobot uses a single JSON config at `~/.picobot/config.json`: ```json { "agents": { "defaults": { "model": "google/gemini-2.5-flash", "maxTokens": 8192, "temperature": 0.7, "maxToolIterations": 200 } }, "providers": { "openai": { "apiKey": "sk-or-v1-YOUR_KEY", "apiBase": "https://openrouter.ai/api/v1" } }, "channels": { "telegram": { "enabled": true, "token": "YOUR_TELEGRAM_BOT_TOKEN", "allowFrom": ["YOUR_TELEGRAM_USER_ID"] }, "discord": { "enabled": true, "token": "YOUR_DISCORD_BOT_TOKEN", "allowFrom": ["YOUR_DISCORD_USER_ID"] } } } ``` Supports any **OpenAI-compatible API** (OpenAI, OpenRouter, Ollama, etc.). See [CONFIG.md](docs/CONFIG.md) for more details. ## CLI Reference ``` picobot version # print version picobot onboard # create config + workspace picobot agent -m "..." # one-shot query picobot agent -M model -m "..." # query with specific model picobot channels login # login to channels (Telegram, Discord, Slack, WhatsApp) picobot gateway # start long-running agent picobot memory read today|long # read memory picobot memory append today|long -c "" # append to memory picobot memory write long -c "" # overwrite long-term memory picobot memory recent --days N # recent N days picobot memory rank -q "query" # semantic memory search ``` ## Run on Minimal Hardware Picobot was designed for constrained environments: ```sh # Raspberry Pi / ARM device GOARCH=arm64 CGO_ENABLED=0 go build -ldflags="-s -w" -o picobot ./cmd/picobot # Old x86 VPS GOARCH=amd64 CGO_ENABLED=0 go build -ldflags="-s -w" -o picobot ./cmd/picobot ``` Works on any Linux with 256MB RAM. No runtime dependencies. Just copy the binary and run. ## Tech Stack | Layer | Technology | |-------|------------| | Language | [Go](https://go.dev/) 1.26+ | | CLI framework | [Cobra](https://github.com/spf13/cobra) | | LLM providers | OpenAI-compatible API (OpenAI, OpenRouter, Ollama, etc.) | | Telegram | Raw Bot API | | Discord | [discordgo](https://github.com/bwmarrin/discordgo) library | | WhatsApp | [whatsmeow](https://github.com/tulir/whatsmeow) and [modernc.org/sqlite](https://gitlab.com/cznic/sqlite) | | Container | Alpine Linux 3.20 (multi-stage Docker build) | Picobot is written **100%** in pure Go, without any CGO dependencies. All required libraries and assets are statically embedded into the final binary. This design ensures zero external runtime dependencies, fast cold start times, and full portability across all platforms supported by Go. ## Project Structure ``` cmd/picobot/ CLI entry point embeds/ Embedded assets (sample skills) internal/ agent/ Agent loop, context, tools, skills chat/ Chat message hub channels/ Telegram, Discord, Slack, WhatsApp config/ Config schema, loader, onboarding cron/ Cron scheduler heartbeat/ Periodic task checker memory/ Memory read/write/rank providers/ OpenAI-compatible provider session/ Session manager docker/ Dockerfile, compose, entrypoint ``` ## Roadmap | Task | Status | |----------------------------------------|--------------| | Add Telegram support | ✔️ Completed | | Add Discord support | ✔️ Completed | | Add Slack support | ✔️ Completed | | Add WhatsApp support | ✔️ Completed | | AI agent with skill creation capability | ✔️ Completed | | Integrate with MCP Servers | ✔️ Completed | | Integrate useful default skills | 🔄 In Progress| | Add more tools (file processing, etc.) | 🔄 In Progress| Want to contribute? **Open an issue** or **PR** with your ideas! ## Docs - [HOW_TO_START.md](docs/HOW_TO_START.md) — step-by-step getting started guide - [CONFIG.md](docs/CONFIG.md) — full configuration reference - [DEVELOPMENT.md](docs/DEVELOPMENT.md) — development, testing, and Docker publishing - [docker/README.md](docker/README.md) — Docker deployment guide ## License MIT — use it however you want.

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Skills dans ce dépôt

Développeurs de logiciels Autres occupations informatiques

2 catégories métier · 100% classifié

skill

métier

description

mis à jour

cron

Développeurs de logiciels

Schedule one-time reminders and recurring tasks

Langue du texte source : anglais

2026-02-12

example

Autres occupations informatiques

Example skill demonstrating the SKILL.md format

Langue du texte source : anglais

2026-02-07

weather

Développeurs de logiciels

Get current weather and forecasts (no API key required)

Langue du texte source : anglais

2026-02-07

Affichage de 3 skills collectés sur 3.