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Top 6 of 31 researched candidates

Alternatives to Dify

Find a better fit for what you need. Compare alternatives to Dify with sourced features, strengths and trade-offs side by side.

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Evidence-backed shortlist

Closest researched alternatives to Dify

Ordered by the requirements met, strengths preserved, explicit trade-offs and research coverage. Sponsorship does not enter the order.

  1. 01

    n8n

    Workflow automation platform for building and running AI agents on a visual canvas, with code where needed.

    From Free

    Why it's on this listFor teams whose agents need to actually act -- call an API, update a CRM, post to Slack -- rather than mainly run a RAG/LLMOps pipeline. n8n pairs native AI-agent nodes with 400+ app integrations on a visual canvas and remains self-hostable, so you keep Dify's data control while getting broader out-of-the-box integration reach. The catch: it is fair-code, not OSI open-source, so check the licence before reselling a self-hosted deployment commercially, and deeply branching agent logic gets harder to read on a canvas than in code.

    Where it improves on Dify

    • +Agent permissions · YesApproval is wired per tool: the workflow pauses and a reviewer approves or denies through Chat, Slack, Discord, Telegram, Gmail or Outlook. Tools with no review step execute unattended.Evidence ↗
    • +Open models · YesOllama chat and embedding nodes run local open-weight models; OpenRouter, Hugging Face Inference, DeepSeek and Mistral nodes cover hosted open-weight options.Evidence ↗
    • +In your pipeline · YesGit source control with workflow diffs gates what reaches production, the n8n CLI page names CI/CD pipeline integration as a fit, and the GitHub Trigger node fires on pull request events.Evidence ↗

    Trade-offs against Dify

    • −Open source · PartialSource-available under the fair-code Sustainable Use License: free to use, modify and redistribute for internal business purposes, but not to resell or host for others. Files named .ee. sit under a separate enterprise licence.Evidence ↗
    • −Seat model · NoNot sold per seat. Users are unlimited on every plan and the quota is executions, so there is no seat floor or ceiling to negotiate; shared projects are what step up by tier (1, 3, 6, unlimited).Evidence ↗
    35/35 researched criteria
  2. 02

    Sim

    Open-source AI workspace for building, deploying and running agents across 1,000+ integrations.

    From Free

    Why it's on this listA leaner open-source alternative for engineering teams: self-hostable, 29.4k GitHub stars, and an unusually well-documented API (explicit sync/async execution, cursor pagination, 429 handling via Retry-After headers), plus a bundled Knowledge Base, Tables and file store. The honest catch: unlike Dify's free Community Edition self-hosting, Sim gates self-hosting, SSO and SOC 2 behind its Enterprise tier, so budget teams wanting Dify's free self-hosted control specifically will not find it here without an Enterprise contract; and the vendor's own pages disagree on integration count (244 versus 1,000+), worth treating as unverified.

    Where it improves on Dify

    • +Agent permissions · YesA Human in the Loop block pauses a run indefinitely for approval; Enterprise permission groups block disallowed models and block types mid-execution.Evidence ↗
    • +Open models · YesOpen-weight models run through Groq/Cerebras/OpenRouter, or locally via Ollama or vLLM at no API cost.Evidence ↗
    • +Data residency · YesUnited States only on the hosted service, in AWS us-east-1. No EU region is offered, so self-hosting is the alternative.Evidence ↗

    Trade-offs against Dify

    • −Admin controls · PartialEnterprise Access Control groups restrict which model providers and block types users may run, enforced in the executor; not available below Enterprise.Evidence ↗
    • −Opt out of training · PartialNo customer-facing training opt-out switch; the vendor commits that Google-API data is never used for generalized model training, and self-hosting keeps data on your own infrastructure.Evidence ↗
    35/35 researched criteria
  3. 03

    Tale

    Open-source project workspace where teams assign tasks to AI coding agents running in sandboxes.

    From Free

    Why it's on this listDone-for-you service · PartialYou run the software, but the Enterprise plan adds professional operation, installation and maintenance, with consulting and custom development charged hourly rather than a built-for-you agent.Evidence ↗

    Where it improves on Dify

    • +Open models · YesA custom provider credential points at a self-hosted model server such as vLLM or Ollama, or any internal gateway speaking the OpenAI or Anthropic API.Evidence ↗
    • +Audit log · YesAn audit trail records actions and approval decisions with their actor and time, and the vendor documents audit-log integrity for tamper evidence.Evidence ↗

    Trade-offs against Dify

    • −Runs autonomously · PartialAn agent completes a task unattended and posts its report, but it must stop at In review and cannot approve its own result, so a person or a separate reviewer agent closes the loop.Evidence ↗
    • −On the command line · PartialA Tale CLI exists for deployment and configuration projects, and terminal agents can call the REST and MCP endpoints, but agent runs themselves are driven from the web app.Evidence ↗
    33/35 researched criteria · 2 not established
  4. 04

    Agno

    Python SDK, open-source AgentOS runtime and hosted control plane for building and operating agents.

    From Free

    Why it's on this listOpen models · YesLocal runtimes llama.cpp, LM Studio, Ollama and vLLM are first-class provider keys, alongside Llama, Mistral, DeepSeek and Qwen.Evidence ↗

    Where it improves on Dify

    • +In your editor · Yes`agno connect` writes MCP config for Claude Code, Claude Desktop, Codex and Cursor so those clients can run your agents.Evidence ↗
    • +Data residency · YesYou pick the jurisdiction: AgentOS is a container in your VPC writing to your own database.Evidence ↗

    Trade-offs against Dify

    • −In your pipeline · NoThe enumerated serving surfaces are REST, MCP in Claude/ChatGPT and chat apps; no pull-request or CI surface appears.Evidence ↗
    • −Open source · PartialSDK and AgentOS are Apache 2.0; the control plane is the commercial part and is not published as source.Evidence ↗
    • −Pooled budget · PartialThere is no metered balance to pool; seats share access to the same connected runtimes and usage inside a connection is unlimited.Evidence ↗
    35/35 researched criteria
  5. 05

    LangChain

    Open source agent frameworks plus LangSmith, a hosted platform to trace, evaluate, deploy and govern agents.

    From Free

    Why it's on this listDone-for-you service · PartialYou run the software yourself on every self-serve plan; only Enterprise buyers get LangChain engineers, architectural guidance and team training alongside the product.Evidence ↗

    Where it improves on Dify

    • +Agent permissions · YesHuman-in-the-loop interrupts gate agent actions in the framework, dcode gates code execution behind approval modes, and Fleet agents can run as themselves or as the calling user.Evidence ↗
    • +Open models · YesOpen-weight models run through local Ollama, vLLM, Hugging Face and Together integrations, and the gateway can front a self-hosted OpenAI-compatible endpoint you operate yourself.Evidence ↗

    Trade-offs against Dify

    • −Self-hosted · PartialThe open source frameworks run anywhere, but self-hosting or hybrid-hosting the LangSmith platform on Kubernetes is an Enterprise-plan option; Developer and Plus are cloud-only.Evidence ↗
    • −Open source · PartialThe frameworks and the dcode coding agent are MIT-licensed and free, while the LangSmith platform that carries the price, seats and governance is proprietary and hosted.Evidence ↗
    • −Bring your own key · PartialYou can bring your own provider keys through the gateway on every plan, or buy inference as Gateway Credits, but Engine refuses your keys and bills its model use as compute units.Evidence ↗
    34/35 researched criteria · 1 not established
  6. 06

    Gumloop

    Multiplayer AI agent builder: teams build agents over their apps while IT keeps governance and spend control.

    From $37/month

    Why it's on this listAgent permissions · YesPer-connector approval modes range from always-allow to never-allow, with a read-free write-gated middle setting and per-tool custom rules.Evidence ↗

    Where it improves on Dify

    • +Open models · YesOpen-weight families are runnable as hosted agents, but always through Gumloop's US-based inference providers rather than weights you host yourself.Evidence ↗
    • +Certifications · YesSOC 2 Type II attestation, HIPAA with BAAs on eligible plans, a GDPR-aligned programme and EU-U.S. Data Privacy Framework certification including the UK extension.Evidence ↗

    Trade-offs against Dify

    • −Self-hosted · PartialVirtual Private Cloud deployment is an optional Enterprise line item only, and Gumloop operates the stack inside your cloud rather than handing you software to run.Evidence ↗
    • −Free tier · PartialThere is a self-serve 14-day free trial of Pro but no standing free plan in the published table, so continued use requires the $37/month tier.Evidence ↗
    • −Admin controls · PartialPro limits connector guardrails to a single agent's scope; org-wide policies, role-based access and model access control are Enterprise-only rows in the same table.Evidence ↗
    32/35 researched criteria · 3 not established

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Method

How the shortlist is calculated

Comparable first. We consider listings in the same category as Dify and alternatives previously researched for this page.

Requirements first. We prioritise your selected needs, then shared strengths, fewer documented trade-offs, more complete research and finally alphabetical order.

Unknown remains unknown. Missing evidence is never converted into a benefit or a trade-off. Every improvement shown above comes from the same sourced criterion as the listing.

Independent order. Payment does not affect selection or ranking. Paid placements are labelled Advertisement.

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