Mira vs Temporal AI

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

Analysis reviewed Live tool data as of 2026-09-01
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At a glance

DimensionMiraTemporal AI
PricingFree (open-source, self-hosted)Freemium (Cloud free tier; usage-based billing; self-hosted free)
DeploymentSelf-hosted only (Docker)Self-hosted or Temporal Cloud
Primary Use CaseAI code review on GitHub PRsDurable workflow orchestration for AI agents & microservices
LLM IntegrationBring your own LLM via OpenRouter (Anthropic, OpenAI, Google, DeepSeek, MiniMax, etc.)OpenAI Agents SDK, Google ADK
Key FeatureFull-repo indexing + inline reviews with severity/confidenceDurable execution with automatic state capture and recovery
Platform LimitGitHub-only (no GitLab/Bitbucket)Any language via SDK (Python, Go, TS, Java, etc.)

If you need to build fault-tolerant, long-running AI agents or microservices that survive crashes and retries, Temporal is the clear choice. If your pain point is manual code review and you want a self-hosted, cost-effective AI reviewer that learns your team's rules, Mira is a fantastic pick. They solve completely different problems — pick based on whether you're orchestrating durable workflows or reviewing pull requests.

Mira
Mira

Self-hosted open-source AI code reviewer that indexes your repo and works with any LLM.

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Temporal AI
Temporal AI

Durable execution platform keeping AI agents and workflows running through failures with automatic state capture and retries.

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Pricing
Free
Freemium
Plans
$0/mo
$0/mo (with $1,000 in credits)
$100/mo
$500/mo
Custom
Popularity
10 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
APIWeb
WebAPICLI
Categories
🔎 Code Review & Quality🔐 Application & Code Security
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
Features
Full-repository indexing for context-aware review
Inline comments with severity and confidence scoring
PR walkthrough with Mermaid sequence diagrams
Cross-PR overlap detection (merge-conflict risk and duplicate effort)
Deduplication across chunks and files
GitHub suggestion blocks for one-click fixes
Custom per-repo and global rules in .mira.yaml
Learning loop that synthesizes rules from rejected comments and quarantines new ones
PR author allow/deny lists (filter bots like dependabot)
Admin review dashboard: stale/waiting PRs, reviewer-responsiveness leaderboard, throughput trends, rubber-stamp detection
Contribution analytics: commits, PRs, lines, year-long heatmap, review-quality signal
Threaded PR activity timeline (replies nested under comments, newest first)
OSV.dev vulnerability scanning tied to codebase index
Org-wide package search across repositories
Webhooks for Slack, Teams, and generic endpoints
Durable execution with automatic state capture
Workflow orchestration with automatic retry and recovery
Activities with automatic retries and timeouts
Native SDKs for Python, Go, TypeScript, Ruby, C#, Java, PHP, Rust (preview)
Human-in-the-loop with signals and pause/resume
Saga pattern via compensating transactions
Full visibility UI for workflow state
Serverless Workers for Google Cloud Run (pre-release)
Serverless Workers for AWS Lambda (public preview)
Standalone Activities for independent execution
Workflow Streams for real-time interactivity
Task Queue Priority & Fairness (GA)
Temporal Worker Controller (GA) for K8s lifecycle
External Storage for large payloads (public preview)
Custom Roles for granular permissions (pre-release)
Integrations
GitHub
GitLab
Forgejo
Codeberg
OpenRouter
Anthropic
OpenAI
Google
DeepSeek
Slack
Microsoft Teams
Docker
SQLite
PostgreSQL
Railway
Fly.io
Render
LangGraph
OpenAI Agents SDK
Google ADK
Google Cloud Run
AWS Lambda
Azure
NVIDIA
Salesforce
Twilio
Kubernetes
Braintrust

Who should pick which

  • Solo founder building AI agents that need reliability
    Pick: Temporal AI

    Temporal's durable execution ensures agent workflows survive infrastructure failures, which is critical for production AI agents.

  • Engineering lead at a startup wanting AI code review with full control
    Pick: Mira

    Mira is self-hosted, free, and can use any LLM, giving the team complete privacy and customizability without per-seat costs.

  • DevOps team handling microservices with complex rollbacks and retries
    Pick: Temporal AI

    Temporal's Saga pattern and automatic retries are built for multi-step transactional workflows.

  • Privacy-sensitive organization using GitHub
    Pick: Mira

    Mira runs on your own infrastructure, never sending code to external AI APIs (except the LLM you choose), and is fully open-source.

  • Team needing human-in-the-loop for financial workflows
    Pick: Temporal AI

    Temporal's signals and pause/resume capability allow manual intervention in long-running processes.

Frequently Asked Questions

Mira vs Temporal AI: which should you choose?

If you need to build fault-tolerant, long-running AI agents or microservices that survive crashes and retries, Temporal is the clear choice. If your pain point is manual code review and you want a self-hosted, cost-effective AI reviewer that learns your team's rules, Mira is a fantastic pick. They solve completely different problems — pick based on whether you're orchestrating durable workflows or reviewing pull requests.

Which tools support integrating with my own LLM?

Both can use external LLMs: Temporal integrates with OpenAI Agents SDK and Google ADK; Mira supports any model via OpenRouter or direct API keys (Anthropic, OpenAI, Google, DeepSeek, MiniMax, etc.).

Can I self-host both?

Yes. Temporal is open-source and you can self-host it. Mira is also self-hosted via Docker. Temporal also offers a managed cloud; Mira does not.

Which tool is better for code review?

Mira is explicitly designed for AI code review on GitHub PRs. Temporal is not a code reviewer; it's a workflow orchestration platform.

Which tool is better for building AI agents?

Temporal is ideal for building durable AI agents that need reliability and state persistence. Mira is not for agent building.

Do both support GitHub integration?

Mira is a GitHub App and fully integrates with GitHub. Temporal integrates with GitHub for CI/CD workflows but its primary integration is via SDKs for orchestrating code.

What about pricing differences?

Mira is completely free (open-source). Temporal is freemium: free self-hosted, cloud with free tier then usage-based billing per Billable Action Count (introduced June 2026).

Which tool is better for startups on a budget?

Both are free to start. Mira has zero software cost (you only pay for LLM API usage). Temporal self-hosted is also free, but cloud usage may incur costs as you scale.

Can I use both together?

Yes. They solve different problems. You could use Temporal to orchestrate a code review pipeline that calls Mira's API, but typically teams use them independently.

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Last reviewed: July 3, 2026