FastGPT
FastGPT is an open-source RAG platform and visual AI agent builder you can self-host, with SSO, RBAC, and LLM auditing.
When a compliance reviewer has to approve an AI agent, FastGPT ships SSO, RBAC, and LLM lifecycle auditing in the base platform instead of behind an enterprise conversation. The packaged sales, support, HR, and finance agents cut the build time on day-one use cases. Reach for Dify instead if you want a blank canvas and maximum flexibility over a governed, role-packaged platform.
Verified 2d ago · liveness 73/100 · cite: rightaichoice.com/tools/fastgpt
- Enterprises that need self-hosted or private AI agents with governance built in
- Compliance teams requiring SSO, RBAC, and LLM lifecycle auditing before sign-off
- Sales orgs wanting an embedded assistant plus role-play training that scores reps
- Support teams automating ticket routing across text and images
- Projects that only need a simple chatbot without governance overhead
- Teams unwilling to run or maintain infrastructure for the self-hosted edition
- Buyers who want a fully managed multi-tenant SaaS without touching deployment
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Skip FastGPT if you just need a single FAQ chatbot and don't want to think about model auditing, RBAC, or index quotas — the governance layer is weight you'd carry without using it.
Basic caps web-page syncs at 500 and Advanced at 2,000, so a large site sync can run you into the ceiling of your chosen tier without warning.
The Cloud Service ladder — Free ¥0/month, Basic ¥99/month billed monthly, Advanced ¥599/month billed monthly, or annual at 10 months' cost for 12 — lands FastGPT in the mid-range for a governed agent platform: cheaper than enterprise Dify plans or a hosted LangChain stack you staff yourself, but you pay in quota ceilings (QPM, indexes, seats) rather than in per-seat SaaS fees. Custom Edition is Contact Sales only.
In short
FastGPT — FastGPT is an open-source RAG platform and visual AI agent builder you can self-host, with SSO, RBAC, and LLM auditing. Best for Enterprises that need self-hosted or private AI agents with governance built in, Compliance teams requiring SSO, RBAC, and LLM lifecycle auditing before sign-off, Sales orgs wanting an embedded assistant plus role-play training that scores reps. Free to start; it also has paid plans, priced in a currency we have not confirmed — see the pricing table for the vendor’s own figures.
What people actually say about FastGPT — is it worth it?
We scanned public community sources for FastGPT on Jul 30, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is FastGPT? 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: October 2026
How we score →Key Features
- Visual AI agent workflow builder with block-stacking, no-code assembly
- Hybrid vector + keyword retrieval to reduce hallucination
- Knowledge base auto-cleansing and live data sync
- LLM lifecycle governance with debugging and auditing
- Integrate any model via API proxy (Sealos AI Proxy)
- SSO and RBAC for a secure enterprise portal
- Cloud, self-hosted, and private deployment options
- Embedded AI sales assistant with real-time answers and scripts
- AI sales role-play training with performance scoring
- Smart ticket routing that reads text and images
- Intelligent resume screening with match scoring
- Expense reimbursement review with anomaly flagging
- Financial market report generation from templates with charts
- Rich API ecosystem for workflow integration
- Multi-language interface (English, Chinese, Japanese, Arabic, Vietnamese, Thai, Indonesian, Malay)
About FastGPT
FastGPT is an open-source RAG platform and visual AI agent builder from labring, now at roughly 29,800 GitHub stars, 800,000 platform users, and 1,000+ private deployments. The build model is literal: you stack blocks into a visual workflow and wire the result to a rich API ecosystem, no framework code required. It targets enterprises that want AI agents running on their own infrastructure rather than a vendor's. The retrieval layer is where the vendor makes its anti-hallucination argument. Knowledge bases use hybrid retrieval that combines vector search with keyword matching, and imported data gets auto-cleansed and kept live instead of going stale in a static index. That pairs with LLM lifecycle governance: plug in any model, then debug and audit its behavior for compliance and control. Access and packaging are what push it past a dev toy. SSO and RBAC sit behind a personalized enterprise portal, and deployment spans cloud, self-hosted, and private. On top of the builder, FastGPT ships role-based solutions: an embedded AI sales assistant with real-time scripts, sales role-play training that scores reps, ticket routing across text and images, resume screening with match scoring, expense review with anomaly flagging, and template-driven market reports. The vendor's published benchmarks claim 90%+ automation and under 1% error on end-to-end fund reports, plus 42% reduced human handoff on a 10k+ daily-inquiry support deployment. It goes head-to-head with Dify, trading some DIY flexibility for governance tooling and pre-built vertical solutions.
Behind the Verdict
The question FastGPT answers is not "can we build an agent" but "can we get one past security." We'd reach for it when the deployment has to live on your own infrastructure. Self-hosted and private options are first-class, and SSO plus RBAC sit behind a secure portal rather than a bolt-on upsell. That combination is why it clears compliance reviews that stall lighter-weight builders. The retrieval setup is the second reason to pick it. Hybrid vector plus keyword search over a knowledge base that auto-cleanses and stays live is a real answer to stale-index hallucination. Import a support corpus and the answers actually track source changes. Where it bites: this is a platform, not a plugin. Self-hosting means you own the infrastructure and the upgrade path, and the visual workflow rewards people who learn its block model. Teams that just want a simple chatbot without governance overhead will find the machinery heavier than the job. Compare it to Dify and LangChain-style DIY stacks. Dify gives you more raw flexibility and a broader open-source community surface. FastGPT leans the other way, toward governance and packaged, role-specific solutions: sales assistant, ticket routing, resume screening, expense review, market reports. If one of those maps to your next quarter, that packaging is worth more than a blank canvas. If you're inventing something unusual, it may chafe. In practice, treat the vendor's headline numbers as case-study proof points, not guarantees: 90%+ automation on fund reports and 42% human-handoff reduction on a 10k+ daily-inquiry support deployment are specific deployments, not a baseline you'll hit on day one. Budget a real POC. This is where the vendor's own consulting and POC-validation services earn their keep.
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Real-world workflow fit
Concrete scenarios for the personas FastGPT actually fits — and what changes day-one when you adopt it.
Stand up a self-hosted FastGPT instance, point it at the internal wiki and policy PDFs, connect the company's approved model through the API proxy, and turn on SSO and RBAC so only the right departments see each knowledge base.
Outcome: A working internal knowledge assistant with per-model auditing and role-gated access, running on your own infrastructure.
Deploy the AI Sales Assistant inside the CRM so reps get real-time answers and scripts, then run new hires through role-play training sessions that score their performance against scripted buyer objections.
Outcome: New-rep ramp shortens and objection handling gets measurable scores instead of anecdotal feedback.
Configure smart ticket routing to read both text and screenshots, classify and route each ticket, and add a website-crawling FAQ bot for the repetitive questions that never needed a human.
Outcome: Tickets land with the right team on the first pass, and the routine volume stops consuming agent time.
Use Cases
- Self-host an internal knowledge-base chatbot for company wikis or policies.
- Build a lead-qualification agent that queries a KB and calls an HTTP endpoint.
- Deploy per-client RAG apps as an agency from a shared FastGPT instance.
- Embed a product support assistant into a marketing site.
- Create a domain-specific FAQ bot that crawls your website for answers.
- Automate customer support with multi-step workflows integrating database queries.
- Prototype an agent that uses tool calls without writing code.
- Automate expense reimbursement review by snapping a receipt and checking budgets.
Models Under the Hood
as of 2026-10-16
Limitations
- Self-hosting may require DevOps knowledge, especially for Western users.
- Commercial licensing applies for multi-tenant SaaS use.
- The published tiers are quota-based — AI credits, knowledge-base indexes, QPM, team members, agents, knowledge bases, and web-page syncs all cap by tier, and the pricing page does not publish overage rates.
- Custom Edition is scoped through Contact Sales.
- Simpler chatbot projects may find the platform over-engineered.
as of 2026-10-09
Verification history
We have re-verified FastGPT 22 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-checked, vendor evidence unchanged
- — 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 22 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 FastGPT tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free Edition
¥0/month
Ideal for
A solo builder or a small team testing whether a self-hosted RAG agent fits before committing budget — one seat, 10 Agents, 3 knowledge bases.
What this tier adds
Free entry point: 100 AI credits, 600 knowledge base indexes, 1 team member and 30 QPM.
Basic Edition
¥99/month
Ideal for
A small team moving from prototype to a real internal assistant that a handful of people use daily.
What this tier adds
Adds 4,000 AI credits, 6,000 indexes, 5 team members, 50 Agents, 30 knowledge bases, 300 QPM and up to 500 web-page syncs over Free.
Advanced Edition
¥599/month
Ideal for
A production deployment at an enterprise that needs team operation logs for audit and higher throughput across many departments.
What this tier adds
Adds 25,000 AI credits, 36,000 indexes, 50 team members, 200 Agents, 100 knowledge bases, 1,500 QPM, 720-day team operation logs and up to 2,000 web-page syncs over Basic.
Custom Edition
Custom
Ideal for
Medium and large enterprises with procurement, security review, and a need for flexible resource allocation or a dedicated account manager.
What this tier adds
Above Advanced: custom resource allocation, priority in-depth technical support and a dedicated account manager, scoped through Contact Sales.
Where the pricing makes sense
The company stage and team size where FastGPT's pricing actually pencils out — and where peers do it cheaper.
The Cloud Service ladder — Free ¥0/month, Basic ¥99/month billed monthly, Advanced ¥599/month billed monthly, or annual at 10 months' cost for 12 — lands FastGPT in the mid-range for a governed agent platform: cheaper than enterprise Dify plans or a hosted LangChain stack you staff yourself, but you pay in quota ceilings (QPM, indexes, seats) rather than in per-seat SaaS fees. Custom Edition is Contact Sales only.
Setup time & first value
How long it actually takes to get something useful out of FastGPT — broken out by persona, not the marketing-page minute.
Cloud Service on the Free Edition: minutes to a first agent, since you only need an account and a knowledge base. Self-Hosted: budget a day or more for a first production deployment, depending on your DevOps bench and how much of the SSO/RBAC and model-proxy wiring you configure up front.
Switching to or from FastGPT
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a Dify workspace: rebuild each app as a FastGPT workflow and re-upload knowledge sources into a knowledge base, since prompts and blocks do not port automatically.
- →From a DIY LangChain stack: replace custom retrieval code with a FastGPT knowledge base, keep your existing HTTP endpoints as workflow tool calls.
- ↗To Dify: export prompts and rebuild workflows block-by-block; knowledge base documents must be re-ingested.
- ↗To a LangChain build: keep the raw documents and re-implement retrieval, since the auto-cleansing and hybrid retrieval pipeline is FastGPT-specific.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “FastGPT”, and we withheld 6: 6 could not be judged, because “FastGPT” 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 FastGPT.
Official links
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