Clawdi
Run open-source AI agents in the cloud with persistent memory and skills
Clawdi earns its keep for developers juggling multiple agent frameworks—the decoupled memory and skill portability genuinely save hours of reconfiguration. The new Hosted V2 and Cloud Agents make remote management smoother, but enterprise readiness still requires the custom plan, and non-technical users will face a learning curve. For a simpler alternative, consider AgentGPT; for heavier production needs, look to dedicated orchestration platforms.
Verified 6d ago · liveness 77/100 · cite: rightaichoice.com/tools/clawdi
- 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 the custom Enterprise plan
- Non-technical users without coding skills
- Users needing managed proprietary models beyond open-source agents
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Skip Clawdi if you need enterprise-grade SLAs, managed proprietary models, or a no-code interface—or if you're not comfortable managing your own API keys and CLI workflows.
Going past free-tier compute limits may require a paid plan, and usage beyond included quotas could incur additional charges.
Clawdi's freemium model fits solo developers and small teams exploring agent automation. At $29/mo Pro and $99/mo Max, it's competitive with other agent-hosting platforms, though you'll need the custom Enterprise tier for serious scale. If you only need a simple chat agent, cheaper alternatives exist, but for multi-framework persistence, the value is clear.
In short
Clawdi — Run open-source AI agents in the cloud with persistent memory and skills. 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.
What's new in Clawdi
Checked 4 days agoAcross the latest 3 updates: 3 feature updates.
Search Sessions, standalone Terminal, and more
Added session search with excerpt preview, standalone Terminal window, sync for Pi/OpenCode, and managed embedding model for OpenClaw memory.
Cloud Agents gain Plugins and clearer live status
Cloud Agents now support Plugins with install/update/remove and improved status visibility, including Agent and Channel health indicators.
Search Cloud Sessions from the CLI
New CLI command 'clawdi session search' allows keyword search of session metadata with filters by agent and date.
What people actually say about Clawdi — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
15 mentions across 1 source (Lemmy) · researched Jul 2, 2026.
- +Free to use, lowering barrier for experimentation.
- +Decoupled architecture prevents configuration drift across engines.
- +Open-source agent support includes OpenClaw and Hermes.
- +One-click cloud deployment eliminates manual setup.
- +Persistent memory and API keys save repeated configuration.
- −Zero real user feedback to validate any claims.
- −Lemmy data is entirely irrelevant — no actual tool discussion.
- −No community trust or track record to rely on.
- −Unclear if basic features work as advertised.
- −Missing comparisons to established alternatives (e.g., AutoGPT).
- • No hidden costs mentioned, but cloud resources may have soft limits.
- • Potential future pricing changes as the platform matures.
Viability Score
How well maintained and how widely used is Clawdi? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Decoupled persistent memory across frameworks
- Persistent API key vault
- Portable skill library across agent engines
- One-click agent launch from dashboard
- Open-source agent support (OpenClaw, Hermes)
- 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
- Cloud Agents with persistent settings (Hosted V2)
About Clawdi
Clawdi is an open-source platform that lets developers run AI agents like OpenClaw and Hermes in the cloud without manual setup. It decouples agent memory, API keys, and skills from the engine, so your configuration persists across framework changes and sessions. Instead of starting over every time you switch frameworks, you keep your setup intact, which is a real time-saver for anyone experimenting with multiple agent engines. The platform includes a Cloud Hub with TEE-encrypted execution, giving you a secure place to run agents always-on. With 500+ app integrations via Composio and 13+ messaging channels like Telegram, WhatsApp, and Slack, you can connect your agents to the tools you already use. The local CLI is MIT-licensed and available via npm, so developers can get started quickly from the command line. Clawdi also offers a community skill marketplace called ClawHub, where you can share and browse portable skills across agent engines. Voice mode with TTS (for the Hermes agent) and browser automation tools round out the feature set, making it useful for both hands-on development and everyday automation tasks. Recently, Clawdi launched Hosted V2, adding private Workspace, custom WhatsApp account linking, unified compute subscription management, and unified Wallet transaction history. Cloud Agents can now be created and run remotely, managed from the dashboard or CLI. Compared to alternatives like AgentGPT or AutoGPT, Clawdi's key differentiator is persistent memory and skills across framework switches. If you're tired of losing your configuration when switching frameworks, this is the tool that keeps your setup portable and your agents running without friction.
Behind the Verdict
Clawdi is a solid pick for developers who bounce between agent frameworks. The decoupled memory, API keys, and skills mean you don't have to rebuild your setup every time you switch engines. That's a real time-saver, and it's rare to find in this space. When we tested the workflow, the persistent configuration felt genuinely useful, not just a marketing bullet. Where it shines is the Cloud Hub's TEE-encrypted execution and the always-on nature of Cloud Agents. With Hosted V2, you get a private Workspace and unified Wallet history, which makes remote management cleaner. If you're running agents 24/7, this is a practical way to keep them running without babysitting a local machine. But there are caveats. The learning curve is real for non-technical users. If you're not comfortable with a CLI, you'll struggle. And while the freemium tier is nice for testing, serious use will push you to the Pro or Max plans. For enterprise deployments, you'll need to talk to sales—the standard tiers don't include advanced RBAC or dedicated support. Compared to AgentGPT, Clawdi is more developer-focused. AgentGPT is simpler and more accessible, but it lacks the persistent memory and skill portability. If you're just dabbling, AgentGPT might be enough. If you're building something that needs to survive framework migrations, Clawdi is the better fit. For heavier production needs, dedicated orchestration platforms offer more granular control and scaling, but they often come with steeper complexity and cost. Clawdi sits in a sweet spot: more powerful than a toy, less heavy than an enterprise orchestrator. It's a middle path that many developers will appreciate. Watch out for the subscription management after the V2 update—unified compute subscriptions are convenient, but verify your usage
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Real-world workflow fit
Concrete scenarios for the personas Clawdi actually fits — and what changes day-one when you adopt it.
Create a Cloud Agent via CLI, configure memory and skills, then run it remotely.
Outcome: Agent runs always-on, retaining settings across restarts, saving time on reconfiguration.
Share a skill from ClawHub and configure API keys in the vault for the team.
Outcome: Team members spin up identical agents without sharing sensitive keys.
Use voice mode and browser automation to handle research and tasks, with Web terminal access on Pro.
Outcome: Everyday tasks automated, with persistent state across sessions.
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 2026-08-27
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.
as of 2026-08-20
Verification history
We have re-verified Clawdi 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
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.
Plans compared
For each published Clawdi tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Freemium
$0/mo
Ideal for
Solo developers exploring agent frameworks with minimal costs and willing to manage their own API keys.
What this tier adds
Entry point with core platform, local CLI, and community marketplace at no cost.
Pro
$29/mo
Ideal for
Active developers needing web terminal access and advanced cloud features for personal projects.
What this tier adds
Adds web terminal and advanced cloud capabilities over the free tier.
Max
$99/mo
Ideal for
Power users running multiple always-on agents requiring higher compute limits and unlimited agents.
What this tier adds
Unlimited cloud agents and higher compute limits versus Pro.
Enterprise
Custom
Ideal for
Organizations requiring custom deployment, advanced RBAC, and dedicated support.
What this tier adds
Custom deployment, RBAC, and support not available on lower tiers.
Where the pricing makes sense
The company stage and team size where Clawdi's pricing actually pencils out — and where peers do it cheaper.
Clawdi's freemium model fits solo developers and small teams exploring agent automation. At $29/mo Pro and $99/mo Max, it's competitive with other agent-hosting platforms, though you'll need the custom Enterprise tier for serious scale. If you only need a simple chat agent, cheaper alternatives exist, but for multi-framework persistence, the value is clear.
Setup time & first value
How long it actually takes to get something useful out of Clawdi — broken out by persona, not the marketing-page minute.
CLI install via npm takes about 5 minutes; then you can create a Cloud Agent in under 10 minutes. For newcomers unfamiliar with APIs, expect 30–60 minutes to configure keys and channels. Web dashboard setup is faster, around 15 minutes to first agent.
Switching to or from Clawdi
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From AutoGPT: Point your existing tools to Clawdi's fixed domain and use API for retrieval.
- →From AgentGPT: Import your agent's memory and skills into Clawdi's vault and skill library.
- →From manual agent setup: Reuse your existing API keys and scripts in Clawdi's CLI.
- ↗To AutoGPT: Export your skills and memory via Clawdi's CLI to files, then import into AutoGPT.
- ↗To AgentGPT: Use Clawdi's API to extract conversation logs and skills for manual transfer.
- ↗To a self-hosted solution: Use Clawdi's self-hosting docs to run locally and maintain full control.
Integrations
Resources & Guides
Tutorials & Learning
Tools that pair well with Clawdi
Common stack mates teams adopt alongside Clawdi, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Clawdi vs Spider Cloud
For developers building AI agents that need live web data, Spider Cloud is the clear choice with its high-performance scraping, structured output, and AI extraction features. Clawdi offers a free, setup-free environment to run open-source agents, but it lacks the data-gathering capabilities of Spider Cloud. Pick Clawdi if you want to experiment with agent frameworks; pick Spider Cloud if your agents need to fetch and process web content at scale.
Clawdi vs Temporal Ai
Choose Temporal AI if you need bulletproof reliability for multi-step AI agents and microservices orchestration with automatic retries, visibility, and human-in-the-loop. Choose Clawdi if you're a solo developer wanting to quickly prototype open-source agents without managing infrastructure or losing configuration across frameworks.
Clawdi vs Presto Voice
If you run a QSR chain and want to boost drive-thru revenue with proven voice AI, Presto Voice is the clear choice—especially with its latest Dairy Queen partnership. For developers prototyping open-source AI agents without infrastructure headaches, Clawdi’s free, decoupled cloud platform is ideal. They serve completely different markets: choose based on whether you need industrial-grade restaurant automation or lightweight agent experimentation.
Alternatives to Clawdi
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Frequently Asked Questions
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