PMB vs Temporal AI

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

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionPMBTemporal AI
PricingFree (open source, no cost)Freemium (free tier + usage-based billing in cloud)
Primary Use CasePersistent memory for coding agentsDurable execution for AI agents & microservices
Key FeatureLocal SQLite memory with MCP integrationAutomatic state persistence & recovery
Recent News ImpactNo recent feature updatesUsage-based billing now live (2026-06-25)
Best ForDevelopers needing persistent context for coding agentsTeams building reliable long-running workflows
IntegrationsClaude Code, Cursor, Codex, ZedOpenAI SDK, Google ADK, Slack, Kubernetes, etc.

If you need to orchestrate mission-critical AI agents or microservices with automatic retries and crash recovery, Temporal is the clear choice — its durable execution platform is battle-tested at scale. For developers who just want their coding agent (Claude Code, Cursor) to remember project context without cloud dependencies, PMB offers a lightweight, free, and privacy-first solution. Choose Temporal for production workflows; choose PMB for a smarter coding assistant.

Try PMBTry Temporal AI
PMB
PMB

Local-first memory layer that gives your AI coding agent a SQLite file it can recall from between sessions.

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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
Free
Freemium
Plans
$0
$150 credits for 90 days
Starting at $50 per million actions
Greater of $500/mo or 10% of usage
Custom
Popularity
4 views
7.5k views
Skill Level
Intermediate
Advanced
API Available
Platforms
CLIDesktop
WebAPI
Categories
🧠 Agent Memory & Runtimes🔌 MCP Servers & Agent Tooling
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Local SQLite memory file with vectors in LanceDB stored beside it
Auto-recall: memory injected before the model reasons, via hooks rather than tool calls
MCP server exposing 29 tools over stdio as a child process of your agent
Hybrid recall fusing BM25, dense vectors and an entity graph with Reciprocal-Rank-Fusion
Optional rerank pass on top of fused retrieval results
Sub-millisecond prompt classification on every message
4-16 ms memory reads
~35 ms recall in a real workspace
Async writes: SQLite first, embed and LanceDB insert on a background thread
Lessons carry a surface_id and are scored on agent follow-rate; ignored rules flagged dead
Local web dashboard with interactive entity graph (Map) and git-style Timeline
Entity graph nodes color-coded by type, sized by importance, inspectable on hover
Automatic memory decay, archiving and deduping over time
Optional local Ollama for summarization and graph extraction, fully offline
Multi-project support with one Timeline lane per project
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
Serverless Workers host durable AI agents on Amazon Bedrock AgentCore
Serverless Workers on AWS Lambda (public preview) and GCP Cloud Run (pre-release)
Standalone Activities as a durable job-queue pattern, GA across six SDKs (2026-09-15)
Native Task Queue priority and fair distribution without a custom queueing layer
Durable Timers sleep for months; cron Schedules support 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 enforces 15-min inactivity timeout and 12-hour max session (GA 2026-09-18)
Replay tests validate against real histories; time-skipping tests fast-forward long timers in CI
Integrations
Claude Code
Cursor
Codex
Zed
Ollama
OpenAI Agents SDK
Google ADK
AWS Lambda
Google Cloud Run
Amazon Bedrock AgentCore
Kubernetes
GitHub Actions
GCP Marketplace
Azure

What real users say: PMB 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.

PMB

81 mentions across 6 sources · 74% positive (averaged across 6 sources)

Hacker News, Product Hunt, App Store, Bluesky, GitHub, Lemmy

What users praise

  • • Local-first: all data stays on your disk, no cloud or API keys.
  • • Hybrid recall (BM25 + vectors + graph) delivers relevant memory in ~35 ms.
  • • Automatic write and read hooks integrate with Claude Code, Cursor, Codex, Zed.
  • • Honest impact scoring flags dead memories that agents don't follow.

What frustrates them

  • • No cloud or team-synced version, only local storage.
  • • Stale or reversed decisions can still surface without manual pruning.
  • • Automatic memory injection uses context window tokens, reducing solution runway.
  • • Only one maintainer; open issues may take time to resolve.

Researched Jul 4, 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

  • Solo founder building an AI agent
    Pick: PMB

    PMB gives Claude Code or Cursor persistent memory for free, keeping project context across sessions without cloud cost or complexity.

  • Enterprise team orchestrating microservices
    Pick: Temporal AI

    Temporal's durable execution, automatic retries, and Saga pattern ensure reliability for critical transactions, with support for multiple SDKs and cloud integrations.

  • Privacy-conscious developer
    Pick: PMB

    PMB runs entirely offline with no telemetry — all data stays in a local SQLite file, no API keys or cloud dependency.

  • Team using multiple AI coding agents
    Pick: PMB

    PMB integrates with Claude Code, Cursor, Codex, and Zed, providing a shared persistent memory layer across agents.

  • DevOps engineer managing CI/CD pipelines
    Pick: Temporal AI

    Temporal's long-running workflows with pause/resume and human-in-the-loop are ideal for complex CI/CD and deployment pipelines.

Frequently Asked Questions

PMB vs Temporal AI: which should you choose?

If you need to orchestrate mission-critical AI agents or microservices with automatic retries and crash recovery, Temporal is the clear choice — its durable execution platform is battle-tested at scale. For developers who just want their coding agent (Claude Code, Cursor) to remember project context without cloud dependencies, PMB offers a lightweight, free, and privacy-first solution. Choose Temporal for production workflows; choose PMB for a smarter coding assistant.

Can PMB be used with non-coding scenarios?

No, PMB is specifically designed for AI coding agents via MCP. For general durable workflows, use Temporal.

Does Temporal require a cloud subscription?

No, Temporal is open source and can be self-hosted. Temporal Cloud offers a managed service with a free tier and usage-based billing (recently introduced).

Which tool is better for AI agent development?

Temporal excels at orchestrating multi-step agents with reliability; PMB provides persistent context for coding agents. Choose based on need: reliability vs. context memory.

Can I use PMB with Temporal?

Yes, they serve different layers. You could use Temporal for workflow orchestration and PMB for agent memory, but no native integration exists.

Is Temporal's usage-based billing expensive?

Cost depends on Billable Action Count; Temporal provides a metric to optimize. It can be costly at scale but offers predictable pricing for enterprise needs.

Does PMB support cloud sync?

No, PMB is local-first. No native cloud sync or team sharing.

What recent updates affect Temporal pricing?

On 2026-06-25, Temporal announced improved cost transparency with usage-based billing and a guide on optimizing Billable Action Count.

Can Temporal be used for simple scheduled tasks?

It's overkill — simple cron jobs are better served by lightweight schedulers. Temporal is designed for durable, long-running workflows.

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Explore each tool further

PMB
View PMB reviewPMB alternatives
Temporal AI
View Temporal AI reviewTemporal AI alternatives

Browse these categories

Best AI Agent Memory & Runtimes toolsBest AI Agent Frameworks & Orchestration toolsBest AI MCP Servers & Agent Tooling toolsBest AI Developer Infrastructure tools
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Last reviewed: July 2, 2026