ClawShell, Process-Level Isolation for OpenClaw Credentials
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Hi HN,I’ve been using OpenClaw daily since it dropped in November. I love the agency it provides, but as I started giving it more production API keys and access to my local filesystem, I realized the threat model was essentially "hope-based."We ran an experiment to see how resilient a standard OpenClaw setup was to prompt injection. Within 2 mins, we were able to exfiltrate active session tokens and API credentials through the chat interface.The problem is fundamental: in most agent architectures, the LLM logic and the sensitive credentials live in the same process space. If the agent is tricked, the attacker has everything.We built and open-sourced a project called ClawShell to move the security boundary from the "prompt" to the "system runtime."How it works: ClawShell acts as a privileged protection layer. It isolates sensitive operations into a separate process enforced by the OS. The secrets never enter the agent’s memory or process space. When the agent needs to perform an action, it sends a request to the ClawShell wrapper, which validates the intent and executes the call using the protected keys.If the agent is hijacked via prompt injection, the attacker gets a scoped identifier that contains zero credentials and no lateral access to the sensitive environment.Key Technical Details: * Structural Boundaries: We assume the LLM is untrusted. Isolation is handled at the OS level, not via "system prompts." * Zero-Trust Tooling: The agent triggers the tool, but the tool execution is handled by a separate, restricted process. * Compatibility: It’s designed to be a drop-in wrapper for existing OpenClaw instances.We’re launching v0.1 today. I’m curious to hear how others are thinking about the "Lethal Trifecta" (Data + Action + Communication) in the agent space. Is anyone else looking at Sanboxing for this, or is OS-level isolation the right path?
HN · launched Feb 19, 2026 · 10 upvotes (top 47%) · 0 views
Niche: ai agent execution sandboxes · 137 launches, 6 in the last 7 days ▼ -25% · Explore this niche →
Category and tags
- Security
- Compliance & governance
- Developer
- AI-native
- Hobby / open-source project
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More like this: all 137 launches in ai agent execution sandboxes →
Could you build this?
Partial A basic CLI wrapper that strips environment variables is simple, but true process-level security isolation and credential segregation requires low-level OS kernel sandboxing primitives.
What it would actually take: Real process isolation requires OS-level primitives like Linux namespaces, seccomp, Landlock, or macOS sandbox profiles (`sandbox-exec` / endpoint security APIs) combined with a local secure credential proxy/socket daemon that dynamically injects credentials only at authorized boundaries. The hard part is preventing confused deputy attacks and side-channel filesystem leaks without breaking the agent's broad toolset. This demands strong systems security and OS kernel sandboxing expertise.
Discussion
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Competitors
Other products that read as similar to this one : 490 launches clear the similarity bar, closest 8 shown.
Attention rank: #245 of 491 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 104 days after the earliest competitor.
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