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PipeLab / Pipelock
Pipelock is an open-source agent firewall for MCP and AI agent egress. Version 3.7.0 adds parallel signed receipt chains, filesystem grants for Linux containment, kernel-observed local MCP identities, and exact destination grants. `pipelock exec` steers cooperative commands through a running proxy; commands can ignore its settings.
- Authority
- 50 reach 5 · trust 5 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://pipelab.org/llms.txt
- llms-full.txt
- https://pipelab.org/llms-full.txt
- Sections
- 5
- Links
- 29
- Size
- 4203 bytes
- Popularity rank
- #993200
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-25T18:12:15.185Z
- Last checked
- 2026-10-26T11:40:33.416Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-26T11:40:32.017Z. Cached copy · Source on pipelab.org
# PipeLab / Pipelock
> Pipelock is an open-source agent firewall for MCP and AI agent egress. Version 3.7.0 adds parallel signed receipt chains, filesystem grants for Linux containment, kernel-observed local MCP identities, and exact destination grants. `pipelock exec` steers cooperative commands through a running proxy; commands can ignore its settings.
## Full context
- [Product facts](https://pipelab.org/.well-known/product-facts.json): Generated version, licensing, inspection scope, and source-pinned metrics.
- [Schema mirrors](https://pipelab.org/schemas/): Pinned Agent Egress Bench and Pipelock Rules schema bytes with a machine-readable digest catalog.
- [Full site context for agents](https://pipelab.org/llms-full.txt)
## Primary pages
- [Product](https://pipelab.org/pipelock/): Pipelock overview, architecture, transports, threat model, install paths.
- [Proof](https://pipelab.org/proof/): Public Agent Egress Bench corpus, signed rule bundles, and signed assessment evidence.
- [Agent Egress Bench](https://pipelab.org/agent-egress-bench/): Tool-neutral attack corpus and reproducible scoring for agent egress controls.
- [Pipelock Rules](https://pipelab.org/pipelock-rules/): Signed detection bundles that extend Pipelock without weakening built-in rules.
- [Agent Evidence Level](https://pipelab.org/learn/agent-evidence-levels/): Open draft standard for grading AI-agent audit evidence.
- [Pricing](https://pipelab.org/pricing/): Community detection is free. Paid tiers add multi-agent coordination, Assess reports, and Enterprise fleet governance.
- [Enterprise](https://pipelab.org/enterprise/): Enterprise fleet governance with Conductor, signed policy distribution, remote kill, and free verifier access.
- [About](https://pipelab.org/about/): Company origin and the relationship between PipeLab, Pipelock, and the gauntlet.
- [Learn](https://pipelab.org/learn/): Setup guides and deep technical pages on MCP security.
- [Compare](https://pipelab.org/compare/): Comparison hub for agent security categories and competing tools.
- [Gauntlet](https://pipelab.org/gauntlet/): Public benchmark publishing Agent Egress Bench results against production binaries.
## Key reference pages
- [Agent firewall](https://pipelab.org/agent-firewall/): Canonical definition of an agent firewall vs WAFs, gateways, guardrails, and sandboxes.
- [MCP security](https://pipelab.org/learn/mcp-security/): Umbrella reference for MCP threat categories and runtime defenses.
- [MCP proxy](https://pipelab.org/learn/mcp-proxy/): Why MCP needs protocol-aware proxying and what bidirectional inspection scans.
- [Learn-and-lock](https://pipelab.org/learn/learn-and-lock/): Observed agent traffic compiled into signed contracts, shadow replay, ratification, promotion, and rollback.
- [Agent egress security](https://pipelab.org/learn/agent-egress-security/): How agents leak credentials through HTTP, DNS, and MCP.
- [MCP tool poisoning](https://pipelab.org/learn/mcp-tool-poisoning/): Malicio
…Related sites
Similar publisher descriptions and documentation. Similarity does not imply affiliation or equivalent capabilities.
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| neuraltrust.ai | NeuralTrust | interface AI and machine learning Cybersecurity +1 | US | 58 | ✓ | ✓ | |
| hodor.ai | Hodor | documentation AI and machine learning AI agents and MCP +1 | — | 46 | ✓ | ✓ | |
| lakera.ai | Assess, monitor, protect and control your AI agents | documentation AI and machine learning Cybersecurity | — | 63 | ✓ | ✓ | |
| getunbound.ai | Unbound AI | documentation AI and machine learning Cybersecurity | — | 51 | ✓ | ||
| activepieces.com | Activepieces | interface AI and machine learning Productivity +2 | — | 54 | ✓ | ||
| straiker.ai | Straiker | documentation AI and machine learning Cybersecurity +1 | US | 55 | ✓ | ||
| agentfield.ai | AgentField | documentation AI agents and MCP Developer tools | US | 53 | ✓ | ✓ | |
| metorial.com | Metorial | documentation AI and machine learning Developer tools +1 | — | 50 | ✓ | ✓ |
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