Pipelock vs Temporal AI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-19
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At a glance

DimensionPipelockTemporal AI
PricingFree (open-source Apache 2.0); paid plans add multi-agent coordination & fleet governanceFree (open-source, self-hosted); Temporal Cloud with usage-based billing
Core FunctionAgent firewall: blocks secret leaks, prompt injections, unsafe tool traffic for AI agentsDurable execution platform: orchestrates workflows with automatic retries, persistence, recovery
Key DifferentiatorSigned audit packets with hash-chained flight recorder, offline verifiableWorkflow-as-code SDKs (Python, Go, TypeScript, etc.) with full state persistence
Target UserSecurity engineers, teams deploying coding agents (Claude Code, Cursor) needing egress controlDevelopers building reliable AI agents/microservices with complex multi-step workflows
Latest Newsv3.0 release (June 2026): fail-closed defaults, signed self-update, provider-key DLP, Conductor fleet opsJune 2026: usage-based billing, custom roles (pre-release), Workflow Streams, Serverless Workers
ComplianceMaps to OWASP MCP Top 10, OWASP Agentic Top 10, MITRE ATLAS, EU AI Act, NIST AI RMF, HIPAA, SOC 2Not a primary focus; relies on customer implementation for compliance

Pipelock is your choice if you need an open-source agent firewall to prevent secret leaks and prompt injection attacks in coding agents (Claude Code, Cursor) with signed audit trails for compliance. Temporal AI is the pick if you're building durable, fault-tolerant AI workflows or multi-step microservices that survive crashes and retries — its durable execution SDKs are battle-tested at scale. They solve different problems: Pipelock secures agent egress, Temporal orchestrates agent logic.

Pipelock
Pipelock

Pipelock is an open-source agent firewall that mediates MCP, HTTP and WebSocket traffic and signs offline-verifiable receipts.

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Temporal AI
Temporal AI

Durable execution platform that keeps AI agents and long-running workflows alive through crashes, retries, and abandoned sessions.

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Pricing
Freemium
Freemium
Plans
$0
$49/mo
$490/yr
$5,000
$15,000/year one
$0 ($150 credits for 90 days)
Starting at $50 per million actions
Greater of $500/mo or 10% of usage
Custom
Popularity
9 views
7.5k views
Skill Level
Intermediate
Advanced
API Available
Platforms
CLI
WebAPI
Categories
🛡️ AI Governance & Guardrails
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Agent firewall mediating MCP, HTTP and WebSocket traffic at the agent boundary
Fixed-order scanner pipeline with 65 DLP credential patterns and checksum validation
34 prompt-injection patterns with 6-pass normalization (zero-width, homoglyphs, leetspeak)
DLP inspection runs before DNS resolution
SSRF, private-IP and cloud-metadata blocking
Canary tokens plant a synthetic secret and alert when it moves
MCP stdio subprocess wrapping with tool poisoning and rug-pull tracking
MCP tool policy engine with warn, block, redirect or defer actions
Kill switch OR-composing 7 independent sources, fail-closed by default
Adaptive escalation with 3 levels, human-in-the-loop approvals, auto-recovery
Kernel-enforced egress containment via nftables owner-match on Linux
Process sandbox: Landlock, seccomp and network namespaces on Linux; sandbox-exec (Seatbelt) on macOS
Ed25519-signed action receipts and hash-chained flight recorder
Offline receipt verification in Go, TypeScript, Rust, Python and in-browser
Prometheus and OpenTelemetry (OTLP) metrics export
Durable execution captures Workflow state at every step with no checkpointing or recovery code
Native SDKs for Go, Java, Python, TypeScript, .NET, PHP, Ruby, and Rust
Activities retry automatically with backoff, four timeout classes, and heartbeating
Signals, Queries, and Updates read and mutate running Workflows mid-flight
Workflow Streams for real-time interactivity with running executions
Durable AI agents via OpenAI Agents SDK and Google ADK running LLM and tool calls as Activities
Standalone Activities as a durable job-queue pattern, GA across six SDKs (2026-09-15)
Serverless Workers for Google Cloud Run, public preview (2026-10-05)
Serverless Workers for AWS Bedrock AgentCore, pre-release (2026-09-18)
Native Task Queue priority and fair distribution without a custom queueing layer
Durable Timers that sleep for months; cron Schedules with backfill and Continue-As-New
Saga pattern via compensating transactions that read like try/catch
Worker Versioning pins Workflows to a version so deploys don't corrupt in-flight runs
Cloud UI Strict Session Mode: 15-minute inactivity timeout, 12-hour max session (GA)
Replay tests validate against real histories; time-skipping tests fast-forward long timers in CI
Integrations
Claude Code
Cursor
VS Code
JetBrains
Zed
Codex CLI
OpenClaw
Continue
Cline
OpenCode
LangGraph
CrewAI
Google ADK
AutoGen
OpenAI Agents
OpenAI Agents SDK
AWS Lambda
Google Cloud Run
Amazon Bedrock AgentCore
Kubernetes
GitHub Actions
GCP Marketplace
Azure
Slack

What real users say: Pipelock vs Temporal AI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Pipelock

28 mentions across 4 sources · 60% positive — mixed (averaged across 4 sources)

Hacker News, YouTube, GitHub, Lemmy

What users praise

  • • Capability separation: agent lacks network, fetch proxy lacks secrets—clean threat model.
  • • Ships signed Ed25519 action receipts for verifiable, offline audit evidence.
  • • Flat-rate pricing—no per-seat costs as agent count scales.
  • • Open-source Apache 2.0 core, self-hostable, no phone home or machine binding.

What frustrates them

  • • Only 28 community posts, many off-topic—hard to judge real-world satisfaction.
  • • Entropy scan for encoded secrets questioned; methodology may be flawed.
  • • No clear answer on multi-agent delegation; sub-agent exfiltration may slip.
  • • YouTube results are about mechanical pencils, not the tool—brand confusion.

Researched Aug 17, 2026

Temporal AI

No verifiable community signal. We scanned public discussion on Oct 14, 2026 and found posts matching the name “Temporal AI”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Who should pick which

  • Security engineer at a startup deploying Claude Code to all developers
    Pick: Pipelock

    Pipelock provides agent firewalling to block secret exfiltration and prompt injection, with signed audit trails for compliance (SOC 2, HIPAA). It integrates directly with Claude Code and can enforce egress rules without per-agent cost.

  • Backend developer building a multi-step AI agent that needs to survive crashes and retries
    Pick: Temporal AI

    Temporal's durable execution workflows automatically persist state and retry failures, making it ideal for reliable AI agent pipelines. SDKs in Python, Go, and TypeScript allow easy integration.

  • Compliance officer needing offline-verified audit logs for AI agent actions
    Pick: Pipelock

    Pipelock generates Ed25519-signed audit reports and hash-chained flight records that can be verified offline, directly supporting regulatory requirements like EU AI Act and HIPAA.

  • Platform team orchestrating a financial payments system with Saga pattern
    Pick: Temporal AI

    Temporal supports Saga compensating transactions natively, with automatic retries and visibility. It's battle-tested for financial systems requiring rollback on failures.

  • DevOps engineer wanting to control network egress for all AI agents in CI/CD
    Pick: Pipelock

    Pipelock's Agent Egress Control GitHub Action (launched May 2026) wraps agent scripts in kernel-enforced network containment with signed audit packets, ideal for CI pipelines.

Frequently Asked Questions

Pipelock vs Temporal AI: which should you choose?

Pipelock is your choice if you need an open-source agent firewall to prevent secret leaks and prompt injection attacks in coding agents (Claude Code, Cursor) with signed audit trails for compliance. Temporal AI is the pick if you're building durable, fault-tolerant AI workflows or multi-step microservices that survive crashes and retries — its durable execution SDKs are battle-tested at scale. They solve different problems: Pipelock secures agent egress, Temporal orchestrates agent logic.

Can I run Pipelock and Temporal together?

Yes. Pipelock secures agent egress (network level), while Temporal orchestrates agent logic (workflow level). They solve different problems and can complement each other in a secure AI agent stack.

Which tool is better for preventing secret leaks from AI agents?

Pipelock is designed specifically for that: it has 65 DLP credential patterns with checksum validation and encoding awareness, plus process sandboxing. Temporal does not include DLP features.

Do I need to self-host Pipelock?

Yes, Pipelock is self-hosted (open-source). It runs as a sidecar or proxy. There is no cloud SaaS version, but the paid plans offer fleet management.

Does Temporal require a cloud subscription?

No. Temporal is open-source and can be self-hosted. Temporal Cloud is a paid managed service with usage-based billing (June 2026 update).

Which tool has better support for compliance?

Pipelock explicitly maps to OWASP MCP Top 10, OWASP Agentic Top 10, MITRE ATLAS, EU AI Act, NIST AI RMF, HIPAA, and SOC 2. Temporal does not advertise compliance mappings.

Can Pipelock inspect MCP traffic?

Yes, Pipelock has an 11-layer scanner pipeline that includes MCP traffic, plus MCP tool poisoning detection and policy engine with redirect.

Can Temporal orchestrate AI agents?

Yes, Temporal has explicit AI agent orchestration capabilities, with integrations for OpenAI Agents SDK and Google ADK (announced at Replay 2026).

Which tool is newer?

Pipelock was announced more recently (news dates 2025-2026). Temporal has been available longer (Replay conference series). Both are actively developed.

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Last reviewed: July 3, 2026