Aegra vs Temporal AI
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Aegra | Temporal AI |
|---|---|---|
| Pricing | Free (open-source Apache 2.0; you pay only for your own servers) | Freemium; cloud usage-based billing with Billable Action Count |
| Primary Use Case | Self-hosted backend for LangGraph agents with data sovereignty | Durable execution for reliable AI agents and multi-step workflows |
| Key Feature | Drop-in replacement for LangGraph Platform; same LangGraph SDK compatibility | Automatic state capture, retries, recovery, and full visibility UI |
| Target User | LangGraph developers wanting self-hosting, cost control, and custom auth | Teams building fault-tolerant, long-running workflows at scale |
| Hosting | Self-hosted on your own infrastructure via Docker Compose | Cloud (Temporal Cloud) or self-hosted; serverless workers available |
| Open Source | Apache 2.0 fully open-source | Open-source core; cloud offering has paid tiers |
Choose Temporal AI if you need a battle-tested durable execution platform for complex, long-running workflows with automatic recovery, and you're okay with usage-based billing at scale. Choose Aegra if you're already using LangGraph and want to self-host without per-node fees, gaining full data control—and you're comfortable managing your own infrastructure. They serve different ecosystems: Temporal is general-purpose workflow orchestration; Aegra is a LangGraph-specific deployment backend.
Self-hosted LangGraph agent backend with LangGraph SDK compatibility and zero per-node fees.
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Open-source durable execution platform that keeps long-running workflows and AI agents alive through crashes, retries, and flaky APIs.
Visit WebsiteWhat real users say: Aegra 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.
Aegra
26 mentions across 3 sources · 47% positive — mixed (averaged across 3 sources)
Hacker News, YouTube, GitHub
What users praise
- • No per-node fees — pay only for your own servers.
- • Full data sovereignty with self-hosted PostgreSQL and custom auth.
- • Drop-in replacement for LangSmith Deployments with same SDK.
- • Apache 2.0 license allows unrestricted use and modification.
What frustrates them
- • Very sparse community feedback outside GitHub.
- • YouTube comments are entirely off-topic and useless.
- • No dedicated support channels or forums available.
- • Requires DevOps skills for self-hosting deployment.
Researched Jul 29, 2026
Temporal AI
No verifiable community signal. We scanned public discussion on Sep 8, 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
- LangGraph developer wanting self-hostingPick: Aegra
Aegra is purpose-built for deploying LangGraph agents on your own infrastructure, with drop-in replacement for LangGraph Platform, custom auth, and no per-node costs.
- Enterprise building resilient multi-step AI workflowsPick: Temporal AI
Temporal's durable execution ensures workflows survive crashes with automatic state capture and retries, and integrates with OpenAI Agents SDK and Google ADK for complex AI pipelines.
- Startup with tight budget needing agent backendPick: Aegra
Aegra is fully free (open-source) with no usage fees; you only pay for your own servers. Ideal if you already use LangGraph and want to avoid vendor costs.
- Team needing human-in-the-loop for financial transactionsPick: Temporal AI
Temporal's Signal and Saga pattern support enables pausing workflows for manual approval and compensating rollbacks, critical for financial systems.
- Solo developer learning AI agent orchestrationPick: Aegra
Simple Docker Compose setup, same LangGraph SDK, and free unlimited usage make Aegra an easy starting point without worrying about costs or complex infrastructure.
Frequently Asked Questions
Aegra vs Temporal AI: which should you choose?
Choose Temporal AI if you need a battle-tested durable execution platform for complex, long-running workflows with automatic recovery, and you're okay with usage-based billing at scale. Choose Aegra if you're already using LangGraph and want to self-host without per-node fees, gaining full data control—and you're comfortable managing your own infrastructure. They serve different ecosystems: Temporal is general-purpose workflow orchestration; Aegra is a LangGraph-specific deployment backend.
Can I use Aegra without LangGraph?
No, Aegra is a backend specifically for deploying LangGraph agents. It requires the LangGraph SDK client and is not a standalone agent builder.
Does Temporal AI support human-in-the-loop?
Yes, Temporal supports human-in-the-loop via signals and pause/resume, allowing workflows to wait for manual input or approval.
Which one is easier to set up?
Aegra is easier if you are familiar with Docker Compose and LangGraph—it can be deployed in minutes. Temporal may require more setup but offers serverless workers to reduce ops.
Is Aegra fully open-source?
Yes, Aegra is licensed under Apache 2.0, allowing free use, modification, and distribution.
Can Temporal AI be self-hosted?
Yes, Temporal has an open-source core that can be self-hosted. Temporal Cloud is a managed option with additional features like serverless workers.
Does Aegra handle retries and recovery like Temporal?
Aegra relies on LangGraph's checkpoint and persistence mechanisms; it does not offer the same level of built-in durable execution as Temporal's automatic state capture and recovery.
Which integration ecosystem is larger?
Temporal has a broader set of integrations including OpenAI Agents SDK, Google ADK, Slack, NVIDIA GPU fleet, Salesforce, and more. Aegra focuses on LangGraph SDK, common LLMs, and tracing tools.
What are the hosting options for each?
Temporal Cloud offers managed hosting; also supports self-hosting. Aegra is designed for self-hosting on your own infrastructure using Docker Compose; no managed cloud option.
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Last reviewed: July 6, 2026