# Alternatives to n8n

> Source: https://theagentsindex.com/n8n/alternatives (current datasheets, evidence-ranked)

Candidates share the baseline category or are previously researched peers. Requirements, preserved strengths, explicit trade-offs and research coverage decide the order; paid tier does not.

## Shortlist

### 1. Agno

Python SDK, self-hosted AgentOS runtime and hosted control plane for building and operating agent platforms.

**Research coverage:** 35/35 criteria

**Where it improves on n8n:**
- [Writes code: yes — Ships a CodingTools toolkit whose documented job is editing files and running commands in a scoped project directory.](https://docs.agno.com/use-cases/coding-agents)
- [Debugs and fixes: yes — Bug fixing is a documented pattern: reproduce, patch, rerun the failing tests.](https://docs.agno.com/use-cases/coding-agents)
- [Writes tests: partial — The documented Verify stage runs the repository's existing gates; test authoring appears only in the example prompt, not as a capability claim.](https://docs.agno.com/use-cases/coding-agents)

**Trade-offs against n8n:**
- [In your pipeline: no — The enumerated serving surfaces are REST, MCP in Claude/ChatGPT and chat apps; no pull-request or CI surface appears.](https://www.agno.com/)
- [Pooled budget: partial — There is no metered balance to pool; seats share access to the same connected runtimes and usage inside a connection is unlimited.](https://www.agno.com/pricing)

[View Agno](https://theagentsindex.com/agno)

### 2. LangChain

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

**Research coverage:** 34/35 criteria

**Where it improves on n8n:**
- [Writes code: yes — The vendor ships dcode, a free open-source terminal coding agent that writes and runs code from a prompt; it is a separate package from the paid LangSmith platform.](https://www.langchain.com/dcode)
- [Writes tests: partial — Engine generates ground-truth dataset examples and assertions so a fix can be evaluated offline; those are agent evals, not unit tests, and the vendor's CI guide leaves unit tests to you.](https://docs.langchain.com/langsmith/engine)
- [Ships it: yes — LangSmith Deployment runs agents in production with one-click deploy from Studio and a control-plane API; the free Developer plan shows Deployment as N/A, so shipping starts at Plus.](https://docs.langchain.com/langsmith/studio)

**Trade-offs against n8n:**
- [Self-hosted: partial — The 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.](https://www.langchain.com/pricing)
- [Bring your own key: partial — You 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.](https://docs.langchain.com/langsmith/engine)

[View LangChain](https://theagentsindex.com/langchain)

### 3. Sim

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

**Research coverage:** 35/35 criteria

**Where it improves on n8n:**
- [Reviews code: yes — Review Code mode checks out an existing PR read-only and submits a GitHub review with inline comments.](https://docs.sim.ai/workflows/blocks/pi)
- [Open source: yes — Apache 2.0 on GitHub; the docs add that SSO and access control carry a separate license requiring a subscription for production use.](https://docs.sim.ai/introduction)
- [Seat model: yes — Priced per user/month ($25 Pro, $100 Max); Enterprise invites need an available seat, Team plans add one on accept.](https://docs.sim.ai/platform/permissions)

**Trade-offs against n8n:**
- [In your pipeline: partial — Deploy, undeploy and rollback are API calls intended for CI/CD pipelines; there is no pull-request review surface.](https://docs.sim.ai/cli)
- [Admin controls: partial — Enterprise Access Control groups restrict which model providers and block types users may run, enforced in the executor; not available below Enterprise.](https://docs.sim.ai/platform/enterprise/access-control)
- [Opt out of training: partial — No 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.](https://www.sim.ai/privacy)

[View Sim](https://theagentsindex.com/sim)

### 4. ElevenLabs Agents

Hosted platform for building voice and chat agents, with telephony, SDKs and a choice of LLM.

**Research coverage:** 35/35 criteria

**Where it improves on n8n:**
- [Done-for-you service: partial — Self-serve software you run, but enterprises can buy ElevenLabs Forward Deployed Engineers who scope, build and stabilise the deployment; no price is published.](https://elevenlabs.io/agents/forward-deployed-engineers)
- [Seat model: yes — Two seat types with a hard ceiling: Full Seats are capped at 11 per self-serve workspace, every plan includes 20 Basic Seats, and Enterprise seat counts sit in the contract.](https://elevenlabs.io/docs/overview/administration/workspaces/members)
- [Certifications: yes — SOC 2, ISO 27001, GDPR and HIPAA are all claimed, with BAAs for HIPAA customers listed on the Enterprise plan and zero-retention available as a configuration.](https://elevenlabs.io/agents/forward-deployed-engineers)

**Trade-offs against n8n:**
- [In your editor: no — The vendor enumerates its surfaces as web widgets, mobile apps, phone systems and custom integrations; no editor or IDE extension appears in that list.](https://elevenlabs.io/docs/eleven-agents/integrate/overview)
- [Self-hosted: partial — The full agent runtime can run in your own VPC or hardware on AWS or GCP, but the documentation is NDA-gated and sold through the account team; Azure is unreleased.](https://elevenlabs.io/docs/overview/capabilities/private-deployment)
- [Admin controls: partial — Guardrails constrain what an agent may say and per-tool approval constrains what it may do, but Guardrails is in Alpha and enabling MCP servers is not restricted to admins.](https://elevenlabs.io/docs/eleven-agents/best-practices/guardrails)

[View ElevenLabs Agents](https://theagentsindex.com/elevenlabs-conversational-ai)

### 5. OpenClaw

Open-source personal agent runtime you host yourself and message from any chat app.

**Research coverage:** 32/35 criteria

**Where it improves on n8n:**
- [Writes code: yes — Built-in file and runtime tools let the agent read, write, patch and execute code in its workspace, so it authors code from a chat instruction rather than only advising.](https://openclaw.ai/integrations)
- [Reviews code: partial — No built-in review product; the vendor's showcase describes a community-built loop in which OpenClaw reads a PR diff and answers with suggestions and a merge verdict.](https://docs.openclaw.ai/start/showcase)
- [In your editor: yes — An Agent Client Protocol bridge over stdio lets an IDE drive a Gateway session; the docs give Zed setup steps for it.](https://docs.openclaw.ai/cli/acp)

**Trade-offs against n8n:**
- [In your pipeline: partial — A CI job can start and observe agent runs over the Gateway WebSocket RPC protocol, and the publication broker opens pull requests; there is no first-party GitHub Action or PR-triggered reviewer.](https://docs.openclaw.ai/gateway/external-apps)
- [How it meters: no — The vendor meters nothing at all: no seats, credits, tokens or tasks are billed, and your only running cost is whatever the model provider you connect charges.](https://openclaw.ai/)
- [Opt out of training: partial — No OpenClaw cloud sits in the path, so the vendor receives nothing to train on, but whichever model provider your gateway forwards to handles that data under its own policy.](https://openclaw.ai/privacy)

[View OpenClaw](https://theagentsindex.com/openclaw)

### 6. Tale

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

**Research coverage:** 33/35 criteria

**Where it improves on n8n:**
- [Writes code: yes — Project agents run on a coding harness that reads and writes files and runs commands in a sandbox, so new code is authored from the task brief.](https://docs.tale.dev/platform/agents/harnesses)
- [Reviews code: partial — A separate agent can be granted a review tool to judge another agent's completed result and its evidence, but the vendor scopes this to task deliverables and says Tale does not verify GitHub state itself.](https://docs.tale.dev/platform/projects/task-automation)
- [Done-for-you service: partial — You 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.](https://tale.dev/pricing)

**Trade-offs against n8n:**
- [Ships it: no — Work stops at collected deliverables and a review verdict; the vendor states plainly that a review does not merge a pull request, and connector writes are refused to agents.](https://docs.tale.dev/platform/projects/task-automation)
- [Runs autonomously: partial — An 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.](https://docs.tale.dev/platform/projects/task-automation)
- [Agent permissions: partial — Each agent is granted explicit tools, skills and secrets, connector writes are refused to the agent broker, and external automation writes pause for approval by default.](https://tale.dev/platform/governance)

[View Tale](https://theagentsindex.com/tale)

## Method

Unknown data is never treated as a benefit or a trade-off. Featured placement is labelled but cannot alter recommendation order.