FastClaw is a lightweight AI Agent runtime and Multi-Agent Framework written in Go. Described as an "Agent Factory", it creates, manages, and runs AI agents — each with its own personality (SOUL.md), memory, skills, and tools. FastClaw handles LLM communication, tool execution, sandbox isolation, and session management, positioning itself as a popular OpenClaw alternative with a single-binary distribution.
Key Features
- Single Go Binary: No Node.js or Python runtime required; distribute one binary anywhere.
- Agent Factory Model: Create and manage agents with individual personalities, models, memories, skills, and tools.
- Personality via SOUL.md: Each agent carries a SOUL.md defining its identity, plus BOOTSTRAP.md for first-run setup.
- Skills Ecosystem: Bundled skills (code-runner, image-gen, data-analysis, translation, web-search, skill-creator) plus installation from ClawHub (clawhub.ai) or skills.sh.
- Any LLM: Configure OpenAI, Anthropic, Ollama, OpenRouter, or any compatible provider.
- Agent-Centric Dashboard: Each agent gets its own dashboard — chat, files, skills, models, sessions, settings.
- Multi-User / Cloud Mode: DB-backed storage, admin/user/agent API key tiers, per-user workspaces.
- File Preview in Chat: Files saved during a turn appear as cards with inline preview (markdown, image, PDF, text) and download.
Use Cases
Who Should Use This Tool?
- OpenClaw Migrants: Users looking for a lighter, Go-based alternative to OpenClaw with compatible plugins.
- Self-Hosters: Teams that want an agent runtime they can run anywhere without heavy dependencies.
- Cloud Hosting Customers: fastclaw.ai offers hosted OpenClaw agents — 7x24 online, multi-channel (Telegram, Discord, WhatsApp), with $180 model credits included.
Problems It Solves
- Runtime sprawl: One binary replaces Node-based agent stacks.
- Agent identity management: SOUL.md gives every agent a distinct personality and role.
- Skill distribution: Install shared skills from ClawHub or GitHub with agent-private or global scoping.
Pricing
| Plan | Price | Features |
|---|---|---|
| Open Source | $0 | Self-host the Go runtime; pay only for your LLM API usage. |
| FastClaw Cloud | From $X/mo | Hosted OpenClaw agent, 7x24 online, multi-channel access, model credits. |
Advantages & Unique Selling Points
Compared to Competitors:
- Lighter than OpenClaw: Go single binary with a smaller footprint.
- Parallel tool execution: Read-only tools run concurrently via the open-agent-sdk engine, improving multi-tool performance.
- Cost tracking: Built-in cost tracking (usage, USD cost, API/tool duration) visible via /usage.
What Makes It Stand Out:
- Agent-centric UI where each agent has its own dashboard.
- OpenClaw plugin compatibility with auto-detection before install.
- FastClaw Community License based on Apache 2.0.
Getting Started
Quick Start Guide
- Download the binary or
go install github.com/fastclaw-ai/fastclaw@latest. - Run setup: Follow the wizard (Welcome, LLM, Gateway, Launch).
- Create an agent:
fastclaw agents createor use the web dashboard. - Add skills:
fastclaw skills installfrom ClawHub, GitHub, or npm.
Integration
Integrates with:
- OpenAI, Anthropic, Ollama, OpenRouter
- ClawHub and skills.sh skill registries
- OpenClaw plugins (auto-detected for compatibility)
Frequently Asked Questions
Is FastClaw the same as OpenClaw?
No — it's an independent Go-based runtime designed as an OpenClaw alternative, with plugin compatibility where possible.
Does it support cloud hosting?
Yes — fastclaw.ai provides cloud-hosted OpenClaw agents with 24/7 availability and multi-channel messaging.
What license is it under?
The FastClaw Community License, based on Apache License 2.0 with additional conditions.
Alternatives
If FastClaw isn't the right fit, consider these alternatives:
- OpenClaw: The original open-source agent runtime (Dev Tools category).
- CrewAI: Python role-based multi-agent framework.
- Reasonix: DeepSeek-native terminal agent in a single Go binary.
Tips & Best Practices
- Give agents clear SOUL.md files: Personality and role definitions shape behavior across sessions.
- Use read-only tools in parallel: FastClaw runs them concurrently for faster multi-tool turns.
- Watch /usage: Built-in cost tracking keeps multi-agent deployments economical.
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