Self-Hosted Guardrails & Safety
As of August 2026, AIDiveForge tracks 19 self-hosted guardrails & safety. The top three by verified-data score are ASL V6, Legibility Field Kit, and ModelFuzz. Curated self-hosted guardrails & safety tracked by AIDiveForge. Listings are verified against each tool's live website and re-checked regularly.
Last updated July 29, 2026 · 19 tools
Ranked by AIDiveForge's verified-data score: data completeness, verification recency, community rating, and real visitor engagement. How we rank · No tool can pay for placement.
1. ASL V6
ASL V6 combines AST-based static analysis with Docker-isolated runtime verification to find and confirm exploitable vulnerabilities in AI agent frameworks before they ship. The dual-layer approach means a finding isn't just flagged — it's verified in a sandboxed execution environment, which cuts the false-positive rate that burns security team time. It runs entirely offline with no external API calls, so sensitive proprietary code never leaves your machine. The ceiling appears quickly on non-Python codebases and on teams that need ticketing integrations or cloud-native CI pipelines baked in rather than assembled by hand.
FreeOpen SourceSelf-hostedVerified Jul 28, 2026
2. Legibility Field Kit
The kit is a zero-dependency Python CLI that runs three checks against your AI decision records: does every change name a specific human owner, is time-to-reverse recorded for reversible actions, and does each entry carry a complete OTW receipt — Owner, Time, Witness. Run `audit` against a directory of governance files and it surfaces every defect in seconds. The scoring command turns those findings into a maturity grade across the three tests, giving compliance teams a number to track sprint over sprint. The wall appears fast: the kit reads files, flags gaps, and stops — it does not integrate with your ticketing system, your CI pipeline, or your approval workflow.
PaidOpen SourceSelf-hostedVerified Jul 11, 2026
3. ModelFuzz
The library ships two halves: a red-team scanner that fires deceptive prompt-injection payloads at any OpenAI-compatible endpoint so you can see which attacks actually trigger a tool call, and a decorator that wraps individual tools and checks every argument against your policies before the function executes. The decorator approach means enforcement lives in your code, not in a separate proxy or prompt. The policy engine works on argument content — keyword matching and pattern rules the docs describe — which catches known-bad patterns well but leaves gaps for novel exfiltration routes that do not match existing rules. A hosted dashboard with centralized policies and audit logs is on a waitlist and not yet available, so teams running multiple agents coordinate policy changes manually across codebases.
FreeOpen SourceSelf-hostedVerified Jul 28, 2026
4. OpenTrust
OpenTrust runs in the browser, gathers signals about the environment and interaction patterns, and returns a trust score your server can act on. It fits teams that want a first-pass human-presence check layered on top of existing auth — not a replacement for it. The SDK is open-source and self-hostable, so the signal pipeline stays off third-party servers. The ceiling appears when you need decisioning logic, model retraining on your own fraud data, or server-side verification depth — none of that ships in the box. Teams with those needs wire OpenTrust as one input into a broader risk engine they build and maintain separately.
FreeOpen SourceAPISelf-hostedVerified Jul 24, 2026
5. Panguard.AI
Panguard installs in one command, runs entirely offline with zero telemetry, and auto-detects agents across a wide surface — Claude Code, Cursor, VS Code Copilot, Gemini CLI, and more. The vendor states 768 ATR (Agent Threat Rules) execute locally as deterministic checks before any skill loads, then continue guarding each action at runtime against prompt injection and poisoned MCP tools. Rules contributed anywhere benefit every adopter — the vendor describes this as 'threat crystallization.' The ceiling appears when a threat is genuinely novel: deterministic rules only catch what someone has already seen and codified, so the AI analysis fallback carries the weight for zero-day patterns. Teams with regulated environments get signed, audit-ready output without routing data to a third party.
FreeOpen SourceSelf-hostedVerified Jul 20, 2026
6. QuantmLayer
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.
FreeOpen SourceSelf-hostedVerified Jul 22, 2026
7. Rampart
Rampart runs a two-layer pipeline entirely in the browser: a 14.7 MB ONNX token-classification model from Hugging Face combined with a deterministic recognizer layer that catches what the model misses. Nothing leaves the client unredacted — the architecture makes server-side PII exposure structurally impossible, not just policy-dependent. The npm package ships as a complete, reproducible artifact, so your redaction behavior is auditable and consistent across builds. The ceiling arrives when your entity types fall outside what the bundled model was trained to recognize — at that point you are retraining or replacing the model, not tweaking a config. Teams needing real-time redaction across high-volume server-side pipelines will hit the browser-only constraint immediately.
FreeOpen SourceSelf-hostedVerified Jul 11, 2026
8. Strix
Strix runs multi-agent Think-Plan-Act loops that scan infrastructure, attempt exploitation, and return findings backed by working PoCs — so your team reviews confirmed vulnerabilities rather than triaging noise. The vendor page describes CI/CD integration and PR-level fix suggestions, which means security gates can live inside the same pipeline where code ships. Self-hosted and air-gapped deployment options are confirmed, making it viable for teams with data residency requirements. The agentic model works well when scope is defined and targets are enumerable — cloud misconfigs, known CVE classes, API surface. Where it strains is against novel logic flaws and business-layer vulnerabilities that require context no automated agent carries.
PaidOpen SourceSelf-hostedVerified Jul 14, 2026
9. Value System Kernel
The repo describes a blueprint for accelerator-native guardrail logic: input vectors are geometrically verified against pre-loaded danger references using IEEE 754 bit-masking and native FMA intrinsics, with the explicit goal of eliminating branch misprediction and warp divergence that stall GPU pipelines. V1 and V2 architectures are both present, with V2 repositioning the scan space as a multi-dimensional physical memory address structure rather than a semantic parsing layer. The vendor states this is a concept-proof blueprint, not a production-ready drop-in — teams expecting a plug-and-play safety layer will need to adapt the kernel to their inference stack. Community activity is minimal: zero forks, one star at the time of listing.
FreeOpen SourceSelf-hostedVerified Jul 13, 2026
10. Agent Passport
Agent Passport is an open-source authorization layer that sits between your agents and the actions they take. You issue a scoped passport — specific permissions, a spend cap, a time window — then every action checks against it before executing. Denied calls are logged alongside allowed ones, so you have a record either way. Delegation chains shrink permissions as they pass down to sub-agents; a child passport cannot exceed what the parent granted. Revocation cascades instantly across the whole chain, so you're not hunting down API keys across six services.
FreeOpen SourceAPISelf-hostedVerified Jul 1, 2026
11. Axtary
Axtary sits beside the agent and evaluates each tool call against deterministic policy before the underlying provider is called. Routine actions — ones that clear the policy rules — pass automatically. Higher-risk actions pause for a human to review the normalized payload, and the approval is cryptographically tied to that specific hash. If anything changes after sign-off, the adapter catches the mismatch and blocks execution. Every attempt, pass, and rejection lands in a verifiable ledger. The self-hosted path keeps provider credentials local, which matters for teams that cannot route credentials through a third-party service.
PaidFree Trial · 30 daysSelf-hostedVerified Jul 26, 2026
12. Trajeckt
The tool sits as a runtime gateway between your agent and its tools, evaluating the sequence of calls rather than any individual call in isolation. The vendor states enforcement runs deterministically in approximately 1.6ms, outside the model itself, so policy decisions cannot be overridden by prompt injection. It is open-source under Apache-2.0 and self-hostable via Docker or Cargo. Where it fits well is MCP-compatible setups that need sequence-level rules without building a custom policy engine. Where it breaks is anywhere you need probabilistic or context-aware rules — this is deterministic enforcement, and the constraints you do not define ahead of time do not get caught.
FreeOpen SourceAPISelf-hostedVerified Jul 1, 2026
13. AGEF
The specification defines a content-addressed, Merkle-linked event structure so every decision in an agent session can be hashed, bundled, and checked offline — no live service required. The reference implementation is Akmon (v2.0.0 and later), which handles bundle export, import, and journaling via akmon-journal. AGEF is a format standard, not a deployed platform: there is no SaaS, no API, and no hosted verification service. Teams adopting it are taking on the work of building or integrating bundle-producing substrates into their existing agent infrastructure. At v0.1.1, the spec is pre-stable — conformance profiles and bundle structure are defined, but tooling outside the Akmon reference implementation is essentially absent.
FreeOpen SourceSelf-hostedVerified Jun 1, 2026
14. Agent Governance Toolkit
Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents.
FreeOpen SourceAPISelf-hostedVerified May 1, 2026
15. ComplyEdge
ComplyEdge is an open-source compliance engine that runs on every production request your AI agent processes, enforcing EU AI Act Article 5 prohibitions and emitting structured audit trails instead of opaque scores. The decorator-based Python SDK wraps agent entry points with a single annotation, so enforcement is tied to the code path rather than bolted on downstream. TrustLint, the companion CLI tool, moves the same rule set into CI/CD so violations surface before deployment. The ceiling appears when you need jurisdictions beyond EU or rule sets beyond Article 5 — the repo shows EU coverage, and teams with broader regulatory scope will find themselves extending the rule library themselves. With three GitHub stars and zero open issues at time of writing, production battle-testing is still accumulating.
PaidOpen SourceAPISelf-hostedVerified Jun 18, 2026
16. PII GUI
The app runs detection locally using on-device models, so nothing is uploaded at any point — no sign-up, no server round-trip, no cloud dependency. You review every flagged item in context before committing to a redaction, which means you catch the false positives before they become permanent holes in a legal document. Custom regex lets you add patterns the model won't know: internal case IDs, account number formats, bespoke identifiers. The export produces a PDF with sensitive text actually gone, not layered over. Where it breaks: single-file, single-session workflow with no batch processing described in the docs, so teams processing hundreds of support logs daily will hit a throughput ceiling fast.
FreeOpen SourceSelf-hostedVerified Jun 21, 2026
17. PreFlight
PreFlight installs via npm and runs as a pre-commit gate, scanning AI-generated code for security vulnerabilities in auth flows, database logic, and SQL patterns — then offering deterministic or AI-assisted patches inline. It integrates with VS Code, Cursor, and MCP clients, so the scan happens in the environment where the AI code was written. The free tier caps patches at ten, which is sufficient for evaluation but stops short of daily use on an active codebase. Teams that exceed that ceiling without a pro key lose the fix-application step and are left with scan output only. The repo is open-source and self-hosted, so the scan never phones home.
PaidOpen Source$19/moSelf-hostedVerified Jun 23, 2026
18. RiskKernel
Deployed as a single Go binary, it sits in front of your existing OpenAI, Anthropic, or LangChain stack via a one-variable proxy — no rewrite required. Every call is metered and checkpointed, so a killed or crashed run resumes from the last saved state instead of re-spending from zero. The human-approval gate routes irreversible tool calls for sign-off over CLI, web, or webhook before they fire, and the LLM cannot bypass it because the gate lives in compiled code, not a prompt. The hosted dashboard is private beta only; teams that need a UI today are self-managing.
FreeOpen SourceAPISelf-hostedVerified Jun 12, 2026
19. SigmaShake
SigmaShake intercepts tool calls from agents running in Claude Code, Cursor, VS Code Copilot, and Gemini CLI, evaluating each action against a rule set before it executes. The vendor states decisions resolve in roughly 85 ms using deterministic native evaluation — no model inference, no GPU, no token spend. Rules follow an Allow/Ask/Deny pattern, where Ask routes the action to a human approval queue rather than blunting everything with a hard block. The desktop app installs in about 30 seconds with no admin rights; the CLI drops into any shell or CI hook chain. Self-hosting is supported, which means the guardrail layer stays offline and never sends your code or commands to a third-party model.
Paid$5/moSelf-hostedVerified Jun 18, 2026
Listings on this page are sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent — no money changes hands for inclusion.