Aegra
Self-hosted LangGraph agent backend with LangGraph SDK compatibility and zero per-node fees.
If you're already on the LangGraph SDK and want to escape per-node fees, Aegra is a smart pick. It's open source, free, and works with your existing code. Just be ready to handle Docker and PostgreSQL yourself — it's not a managed service. Compare with LangSmith Deployments: Aegra gives you custom auth and BYO database free, while LangSmith reserves those for enterprise.
Verified 6d ago · liveness 68/100 · cite: rightaichoice.com/tools/aegra
- LangGraph developers wanting to self-host without per-node costs
- Teams needing data sovereignty and compliance
- Startups with tight budgets avoiding per-node fees
- AI engineers requiring custom authentication
- Teams wanting a fully managed cloud solution without ops overhead
- Users not already using LangGraph SDK (no standalone agent builder)
- Beginners without Docker and self-hosting experience
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Skip Aegra if you need a fully managed cloud service without handling your own infrastructure, or if you're not already using the LangGraph SDK.
You bear the full cost of running your own PostgreSQL and Docker infrastructure — there's no managed option, so factor in hosting and maintenance time.
Aegra's free, unlimited self-hosted tier undercut LangSmith Deployments, which charges per-node on cloud and reserves self-hosting for enterprise. It's ideal for startups and cost-sensitive teams already on LangGraph, though you trade off ops overhead.
In short
Aegra — Self-hosted LangGraph agent backend with LangGraph SDK compatibility and zero per-node fees. Best for LangGraph developers wanting to self-host without per-node costs, Teams needing data sovereignty and compliance, Startups with tight budgets avoiding per-node fees. Free to use.
What people actually say about Aegra — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
26 mentions across 3 sources (Hacker News, YouTube, GitHub) · researched Jul 29, 2026.
Average across the 3 sources that answered — each source counts once, not each post.
- +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.
- +Docker Compose gets you running in minutes with health checks.
- −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.
- −69 open issues may indicate instability or incomplete docs.
- • Server hosting costs (cloud or on-premise)
- • Operational overhead for maintenance and monitoring
Viability Score
How well maintained and how widely used is Aegra? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Self-hosted LangGraph agent backend
- Drop-in replacement for LangGraph Platform
- LangGraph SDK compatible
- FastAPI server with PostgreSQL persistence
- Docker Compose deployment
- Custom authentication (JWT, OAuth, Firebase, no-auth)
- Streaming responses
- Durable checkpoints
- Agent Protocol compliant
- Multi-LLM support (OpenAI, Anthropic, Together AI)
- OTLP-based tracing (Langfuse, Phoenix, etc.)
- Apache 2.0 open-source license
- BYO database (PostgreSQL)
- Health checks and monitoring endpoints
About Aegra
Aegra is an open-source, Apache 2.0 backend that lets you deploy LangGraph agents on your own infrastructure, acting as a drop-in replacement for LangGraph Platform. If you're already using the LangGraph SDK, you can point your existing client code at a self-hosted FastAPI server with PostgreSQL persistence and keep working — no per-node fees, no vendor lock-in, and full control over your data and models. Built for developers and teams prioritizing cost control, data sovereignty, and custom authentication, Aegra packages production-ready features: Agent Protocol compliance, durable PostgreSQL checkpoints, streaming responses, and a custom auth framework supporting JWT, OAuth, Firebase, or no-auth for dev environments. Multi-LLM support (OpenAI, Anthropic, Together AI) means you can switch models without rewriting agent code. Deployment is Docker-based, with health checks and migrations included for a fast setup. Aegra's key differentiator is its pricing model: an unlimited free tier and BYO database, contrasting with LangChain's cloud-only free tier and enterprise-only self-hosting. The vendor page compares Aegra against LangSmith Deployments on dimensions like custom auth, own database, and tracing — Aegra offers free unlimited local deployment, custom Python auth handlers, and OTLP-based tracing (Langfuse, Phoenix, etc.) where competitors charge or restrict. Community testimonials highlight real production use cases — a mental health chatbot saved from per-node costs, migration from LangGraph framework, and successful production runs. It's not a standalone agent builder or a managed cloud; it's a backend for developers who already live in the LangGraph ecosystem and want to own their infrastructure. If you're comfortable with Docker and PostgreSQL, Aegra delivers a cost-effective path to production.
Behind the Verdict
Aegra positions itself as a self-hosted alternative to LangGraph Platform, targeting developers who are already invested in the LangGraph SDK but frustrated by per-node pricing or lack of data control. The core value proposition is strong: you keep your existing client code, point it at your own FastAPI server with PostgreSQL persistence, and get features like checkpoints, streaming, and custom auth — all under Apache 2.0. The vendor's comparison table against LangSmith Deployments highlights that features like custom auth (Python handlers) and BYO database are free in Aegra but reserved for enterprise with a license key in LangChain's offering. That's a compelling pitch for startups and enterprises wanting sovereignty. Strengths: Cost predictability (unlimited free tier), no vendor lock-in (SDK compatibility and open-source), flexible auth (JWT, OAuth, Firebase, or no-auth), multi-LLM support (OpenAI, Anthropic, Together AI), and OTLP-based tracing that works with Langfuse, Phoenix, etc. Community testimonials suggest it works in production for mental health chatbots and other use cases. Weaknesses: It's not a managed service — you must operate Docker and PostgreSQL yourself. There's no GUI agent builder, so it's not for non-developers. Support is community-driven, with no official SLAs. Limited to LangGraph ecosystem; if you're not already using the LangGraph SDK, this isn't the entry point. Where it fits: Teams that prioritize data residency, cost control, and full control over agent infrastructure — particularly if they're already using LangGraph. Where it doesn't fit: teams wanting a turnkey cloud solution or those without DevOps resources.
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Real-world workflow fit
Concrete scenarios for the personas Aegra actually fits — and what changes day-one when you adopt it.
Deploying a customer support agent without per-node fees
Outcome: You set up Docker Compose with PostgreSQL, point your existing LangGraph SDK client to Aegra, and go live within a day — removing costs that were killing your project.
Migrating from LangGraph Platform to self-hosted for data sovereignty
Outcome: You keep your client code, run Aegra on your own VPC, enable JWT auth, and connect OTLP to Langfuse — achieving compliance without rewriting agents.
Use Cases
- Deploy a LangGraph chatbot for mental health support on your own servers to ensure data privacy.
- Run a multi-agent research assistant with custom auth for internal enterprise use.
- Self-host a production agent pipeline for customer support without per-node cloud costs.
- Migrate existing LangGraph apps from LangSmith Deployments to a self-hosted environment.
- Build a custom RAG agent with checkpoint streaming and OTLP tracing for debugging.
Models Under the Hood
as of 2026-09-01
Limitations
- Self-hosting requires Docker and PostgreSQL administration, with no managed hosting offered.
- The platform supports multi-LLM providers including OpenAI, Anthropic, and Together AI.
- It is compatible with the LangGraph SDK and Agent Protocol, but does not provide a graphical agent builder.
- Support is community-driven with no official SLAs.
as of 2026-09-08
Verification history
We have re-verified Aegra 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Aegra tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Community
$0/mo
Ideal for
Developers and startups self-hosting LangGraph agents with tight budgets, needing unlimited free deployment and full data control.
What this tier adds
Free, unlimited self-hosted deployment with BYO Postgres, custom auth, OTLP tracing, and Apache 2.0 license — no per-node fees.
Where the pricing makes sense
The company stage and team size where Aegra's pricing actually pencils out — and where peers do it cheaper.
Aegra's free, unlimited self-hosted tier undercut LangSmith Deployments, which charges per-node on cloud and reserves self-hosting for enterprise. It's ideal for startups and cost-sensitive teams already on LangGraph, though you trade off ops overhead.
Setup time & first value
How long it actually takes to get something useful out of Aegra — broken out by persona, not the marketing-page minute.
For a developer with Docker and PostgreSQL experience, you can be running in under an hour (official claim: 5-minute deployment). Expect a longer first-time setup if you're learning Docker or need to integrate custom auth.
Switching to or from Aegra
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From LangGraph Platform: Point your existing LangGraph SDK client to Aegra's FastAPI endpoint; no code changes needed since it's SDK-compatible.
- ↗To LangGraph Platform: Swap the endpoint back to LangChain's cloud — your client code remains compatible.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Aegra”, and we withheld 6: 6 could not be judged, because “Aegra” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Aegra.
Official links
Featured Head-to-Head Comparisons
Aegra vs Spider Cloud
Spider Cloud and Aegra are not direct competitors: Spider Cloud is a web scraping API for feeding real-time data to AI agents, while Aegra is a self-hosted backend for deploying LangGraph agents. Choose Spider Cloud if you need to extract structured web data at scale for RAG pipelines. Choose Aegra if you're already using LangGraph and want to avoid per-node fees by self-hosting. Both are developer-friendly, open-source-influenced tools with strong community support.
Aegra vs Temporal Ai
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.
Aegra vs Presto Voice
Presto Voice and Aegra serve entirely different markets: Presto automates drive-thru ordering for QSR chains with a proven upselling engine, while Aegra lets LangGraph developers self-host agent backends without per-node fees. Choose Presto if your business runs multiple drive-thru locations and wants measurable revenue lift; choose Aegra if you need a cost-effective, customizable backend for LangGraph agents with full data control.
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