Clawdi
Run open-source AI agents in the cloud without setup hassle — decouple memory, keys, and skills from the engine.
Clawdi fills a real niche for developers tired of reconfiguring agents. Its decoupled approach simplifies experimentation, but is not meant for production. A promising open-source tool for the prototyping phase.
- Developers experimenting with AI agents across multiple frameworks
- AI enthusiasts avoiding framework lock-in
- Prototypers needing rapid agent deployment and iteration
- Users switching between agent frameworks frequently
- Enterprise production deployments without custom Enterprise plan
- Non-technical users without coding skills
- Users needing managed proprietary models beyond open-source agents
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In short
Clawdi — Run open-source AI agents in the cloud without setup hassle — decouple memory, keys, and skills from the engine. Best for Developers experimenting with AI agents across multiple frameworks, AI enthusiasts avoiding framework lock-in, Prototypers needing rapid agent deployment and iteration. Free to start; paid plans from $29/mo.
Viability Score
How likely is Clawdi to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- No-setup cloud agent execution
- Decoupled memory storage across frameworks
- Persistent API key management in vault
- Portable skill library across agent engines
- One-click agent launch from dashboard
- Open-source agent support (OpenClaw, Hermes, Claude Code, Codex)
- Framework-agnostic configuration persistence
- Cloud Hub with TEE-encrypted execution
- Cross-agent session, memory, skill, and connector overview
- 500+ app integrations via Composio
- 13+ messaging channels (Telegram, WhatsApp, Slack)
- Local CLI with MIT license (npm install -g clawdi)
- Community skill marketplace (ClawHub)
- Voice mode with TTS (Hermes agent)
- Browser automation and web research tools
About Clawdi
Clawdi is an open-source platform that lets you run AI agents (like OpenClaw, Hermes) in the cloud without manual setup. It decouples your agent's memory, API keys, and skills from the agent engine, solving the pain of losing your configuration every time you switch frameworks. The platform is designed for developers and AI enthusiasts who want to quickly deploy and iterate on agents without worrying about infrastructure or configuration drift. Clawdi provides a cloud environment where agents can be launched with a single click, and your customized settings persist across sessions and framework changes. Unlike traditional agent frameworks that lock you into a specific ecosystem, Clawdi's decoupled architecture means you can switch agent engines while retaining your memory, API keys, and skills. This flexibility makes it ideal for rapid prototyping and experimentation with different agent models. Clawdi is free to use with a focus on open-source agents. It does not offer managed proprietary models; instead, it emphasizes portability and community-driven agent development.
Behind the Verdict
When to pick this: You're a developer or AI enthusiast who regularly switches between agent frameworks (Claude Code, OpenClaw, Hermes, Codex) and hates losing your configuration. Clawdi's decoupled environment—persisting memory, API keys, skills, and app connections—is a genuine time-saver. The free CLI and generous Freemium tier (5,000 credits/month) make it low-risk to try. When to pass: You need production-grade multi-agent orchestration for enterprise deployments. Clawdi lacks advanced RBAC, audit logs, or SLA outside the Enterprise plan (contact sales). Non-technical users without coding skills will struggle, especially with local CLI setup. If you need managed proprietary models (like GPT-4 behind an API), this isn't the tool—it's built around open-source agents. Compared to alternatives: Clawdi's closest competitor is probably a manual setup using Docker or a PaaS like Railway—but those lack the cross-framework persistence. Attending to platform-specific agent stores (like OpenAI's GPTs) offer lock-in, whereas Clawdi is explicitly framework-agnostic. The trade-off is that you're betting on an open-source ecosystem that may not have all the agents you want. Real-world usage caveats: The cloud hub is not always-on by default—you need a Pro plan ($29/mo) for both agents concurrently. The credit system (costs per query/session) can surprise heavy users. And while integrations boast 500+ via Composio, actual agent support varies: Hermes is polished for daily driving, OpenClaw for multi-channel orchestration. We'd recommend starting with the free CLI and one agent before committing to a plan.
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Use Cases
- Quickly test different agent engines without rebuilding memory or skills
- Spin up a cloud agent in seconds to prototype a new task
- Share agent configurations with team members without sharing API keys
- Switch from one agent framework to another while retaining all customizations
Models Under the Hood
as of 2026-07-18
Limitations
- As a free, open-source platform, Clawdi may have resource caps on cloud execution.
- It does not offer guaranteed uptime or support for high-throughput production workloads.
- The platform relies on users bringing their own API keys, which can be a hurdle for newcomers.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Integrations
Resources & Guides
Official links
Tools that pair well with Clawdi
Common stack mates teams adopt alongside Clawdi, with the specific reason each pairing earns its keep.
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