Eclusia
Freemium
Legal professionals handling confidential cases
QuantmLayer
FreeOpen SourceSelf-Hosted
AI coding agents run with your credentials, your network access, and your shell — and when one gets compromised via a supply-chain attack or a CVE, the payload's behavior is the breach, not the binary. QuantmLayer wraps the agent in a kernel-enforced cell so the behavior stops before the damage starts.
Similar tools
EclusiaFreemiumEclusia runs locally on your machine and replaces names, IBANs, phone numbers, API keys, and…
Fabraix Red Team PlaygroundFreeFabraix Red Team Playground is an open-source, MIT-licensed testing environment structured…
Patronus ScannerFreemiumPatronus AI positions itself as evaluation and monitoring infrastructure for production LLM…
NeuralTrust TrustGateFreemiumNeuralTrust TrustGate sits between your agents and the models, tools, and services they reach…
Get This Tool
License: License: unverified
Local-run terms: Run the static binary locally via provided install script on Linux; open source with no stated restrictions.
Screenshots 2
Summary
QuantmLayer installs as a single static binary and builds a least-privilege cell from Linux kernel primitives — six enforced walls covering the filesystem, network egress, exec allowlisting, and audit. Credentials don't appear inside the cell as 'permission denied' — they don't exist at all. Egress is default-deny; nothing phones home unless a profile explicitly allows it. Every run commits its governing policy to a hash chain, so you can prove after the fact what the agent was and wasn't allowed to do. The MCP gateway adds a JSON-RPC-layer check so tool-server calls are validated against the server's own schema before they ever execute.
Bottom line: Pick this when your CI pipeline or editor is running a third-party coding agent against infrastructure with real credentials — it won't protect you if your threat model extends beyond Linux kernel primitives or requires fleet-wide identity controls before the enterprise preview ships.
Find your fit
Before you choose QuantmLayer
More options in Guardrails & Safety. Compare pricing, platforms, and features side by side.
Fabraix Red Team Playground
Free · Open source
AI security researchers
Pros
- Credentials are absent inside the cell — not masked, not permission-denied — so a compromised agent cannot read SSH keys or cloud tokens even if it tries, which means a supply-chain payload gets nothing to exfiltrate.
- Default-deny network egress enforced at the kernel level, so a C2 callback or exfiltration attempt cannot resolve a host unless a profile explicitly allow-lists it — removing the window where a firewall misconfiguration lets a payload through.
- BPF-LSM exec allowlisting verified by binary hash, so a payload binary dropped inside the cell is denied at execve because its hash was never approved — persistence mechanisms that survive reboots in uncontained environments stop at the first exec.
- Tamper-evident hash chain over each run's governing policy, so teams with compliance or audit requirements can produce verifiable evidence of what the agent was permitted to do — not a log the agent itself could have written.
- Single static binary with a one-command install and seven preconfigured agents, so teams get containment into an existing CI or editor workflow without standing up a sidecar service or modifying agent source code.
Cons
- The containment mechanism is built on Linux kernel primitives — BPF-LSM, kernel namespaces, and related facilities — so teams running coding agents on macOS or Windows get no coverage and need a different solution entirely.
- Fleet-wide identity controls and cell-scoped short-lived credentials are in private enterprise preview with a limited design-partner group, so a team that needs per-agent credential scoping across a developer fleet ships without that capability until the preview opens — and teams on a deadline for that feature switch to a secrets-manager or vault-based approach in the interim.
- There is no API surface described in the source material, which means teams that want to drive containment policy programmatically from their own tooling — injecting profiles from a config pipeline, querying audit records from a SIEM — have no documented integration path and are left parsing logs or wrapping the CLI themselves.
About
- Platforms
- Linux
- API Available
- No
- Self-Hosted
- Yes
- Last Updated
- July 22, 2026
Best For
Who it's for
- Security-conscious developers using AI coding agents
- Environments handling sensitive credentials or networks
- Compliance or audit requirements around agent actions
What it does well
- Running untrusted or supply-chain-risky coding agents
- Auditing agent behavior after execution
- Preventing credential exfiltration and C2 in CI or editors
Integrations
Frequently Asked Questions
- Is QuantmLayer free?
- QuantmLayer offers a free option. Hosting, model usage, or optional services may have separate costs; check the pricing details and official terms.
- Is QuantmLayer open source?
- Yes. QuantmLayer is open source.
- Can I self-host QuantmLayer?
- Yes. QuantmLayer supports self-hosting on your own infrastructure.
- What platforms does QuantmLayer support?
- QuantmLayer is available on: Linux.
Curated lists that include this category
QuantmLayer contains AI coding agents inside a kernel-enforced cell rather than extending them a trust model they haven’t earned. The install is a single curl command; a single `ql` invocation wraps the target agent in six kernel walls — filesystem isolation that makes credentials absent rather than forbidden, default-deny network egress enforced at the kernel rather than the firewall, exec allowlisting verified by binary hash via BPF-LSM, and a tamper-evident audit log that commits each run’s governing policy to a hash chain. Seven agents ship preconfigured out of the box. The project is open source and the source is readable on GitHub.
The audit wall is the differentiating feature for compliance-sensitive teams. Every run produces a hash chain over its governing policy — edit one record and the chain breaks. The vendor describes this as ‘third-party-verifiable evidence,’ which means you can hand an auditor a provable record of what the agent was permitted to do, not just a log the agent itself could have falsified.
QuantmLayer fits CI pipelines and editor environments on Linux where a third-party coding agent touches real secrets or network paths and the team cannot yet vet the agent’s full supply chain. It does not fit Windows or macOS environments — kernel-level Linux primitives are the mechanism, and there is no equivalent described for other operating systems. Fleet-wide credential controls and short-lived cell-scoped credentials are in private enterprise preview with design partners, so teams that need those features ship without them until that preview opens.
The MCP gateway feature sits in the JSON-RPC stream between caller and MCP tool server, validating each `tools/call` against the server’s own schema before it reaches the server. Denied calls never execute; every decision is logged. This extends containment to the MCP protocol layer, where the protocol itself enforces nothing at the call level — the vendor states the gateway addresses that gap directly.
Contribute
- Work on QuantmLayer? Claim this listing.
- Embed a badge for your README or site.
Sign in to rate this tool or suggest an edit.