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Top 9 of 15 alternatives

9 Langflow alternatives (2026)

The closest alternatives to Langflow in October 2026 are AutoGen, OpenAI Agents SDK (Python) and CrewAI.

9 agents compared · 9 with a free plan · prices checked 13 September–24 October 2026

Reviewed by The Agents Index editorial team.

On this page
  1. Langflow and its alternatives at a glance
  2. What needs to be different?
  3. Closest alternatives to Langflow
  4. What to watch for
  5. Compare Langflow with the shortlist
  6. Compare alternatives to Langflow
  7. Questions buyers ask
  8. Sources and method

Langflow and its alternatives at a glance

AgentBest forStarts atBetter than Langflow atChecked
LangflowFree source25 September 2026
AutoGenPython or .NET developers and researchers exploring multi-agent orchestration who want a mature, free, self-hosted framework.Free sourceWhole-codebase work, How it meters19 September 2026
OpenAI Agents SDK (Python)Developers who want the fastest, lightest way to ship a straightforward agent (support triage, a tool-using assistant or a sandboxed coding agent) with tracing and guardrails included.Free sourceWhole-codebase work, Agent permissions18 October 2026
CrewAIDevelopers who want to stand up a role-based, collaborating multi-agent system quickly in Python, with a stable MIT-licensed core and a hosted build and runtime for production.Free sourceDone-for-you service, In your editor13 September 2026
LettaDevelopers and researchers who specifically need an agent whose memory, skills and identity genuinely persist and evolve across long-running sessions, rather than reset on every call.Free, then $20/month sourceWhole-codebase work, Agent permissions2 September 2026
LiveKit AgentsEngineering teams that want to own their voice-agent stack end to end, self-hosted or on LiveKit Cloud, without being locked into one vendor's API.Free, then $50/month sourceHow it meters, A company can buy it2 September 2026
Microsoft Agent Framework.NET or Python teams already invested in Azure or Microsoft Foundry who want one supported agent SDK, an optional managed hosting path, and a documented migration off AutoGen or Semantic Kernel.Free sourceWhole-codebase work, Agent permissions19 September 2026
LangChainEngineering teams building a bespoke, production-grade agent who want the largest integration ecosystem plus real stateful control.Free, then $39/seat/month sourceWhole-codebase work, Done-for-you service18 September 2026
LlamaIndexEngineers building RAG-heavy or document-heavy agents who want an MIT-licensed OSS core with an optional managed parsing and extraction platform on top.Free, then $50/month sourceIn your editor, How it meters2 September 2026
LangGraphEngineering teams building production agents who need cyclical graphs, durable state and replayable runsFree, then $39/seat/month sourceIn your editor, In your pipeline2 September 2026

Your reason for switching

What needs to be different?

Pick up to three, or see the closest matches ↓.

Requirements for an alternative to Langflow
More reasons (7)
0/3 selected

Shortlist

Closest alternatives to Langflow

The ones people open most here come first, then the closest matches. How we rank

  1. 01

    AutoGen

    Open-source Microsoft framework for building single and multi-agent AI applications in Python.

    From Free

    Why it's on this listWhole-codebase work · PartlyFileSurfer navigates directories and reads local files while the executors run commands in a work_dir, so file-by-file work is possible; no repository indexing or repo-wide migration is documented.Source ↗

    Where it improves on Langflow

    • +How it meters · PartlyThe framework itself carries no meter at all; your only spend is whatever your chosen model provider bills against the API key you supply.Source ↗

    Trade-offs against Langflow

    • −Claude · PartlyA first-party Anthropic client exists in the extensions package, but Microsoft labels the section experimental rather than a supported integration.Source ↗
    • −Open models · PartlyOpen-weight models run through the Ollama client or OpenAI-compatible endpoints, but that client is marked experimental and Microsoft warns local models are less capable.Source ↗
    • −On the command line · PartlyA built-in Console UI streams a run to the terminal and UserProxyAgent can take console input, but there is no standalone agent CLI; the autogenstudio command only launches the web UI.Source ↗
    View listing
  2. 02

    OpenAI Agents SDK (Python)

    Open-source Python framework for building agents with tools, handoffs, guardrails and tracing.

    From Free

    Why it's on this listWhole-codebase work · PartlyA sandbox manifest can stage a whole local directory or git repository into the workspace, so repository-wide work is possible, but the vendor documents staging and sessions rather than any migration or indexing capability.Source ↗

    Where it improves on Langflow

    • +Agent permissions · YesTools declare when they need approval, the run pauses and surfaces interruptions, and the serialized run state can be approved or rejected before resuming, including for shell, apply_patch and MCP tools.Source ↗
    • +How it meters · PartlyThe framework itself is charged for in no unit at all, being MIT-licensed and free; what a buyer actually pays is their model provider's token metering plus any hosted tool usage, billed outside this product.Source ↗

    Trade-offs against Langflow

    • −Writes code · PartlyThe SDK is a toolkit for building a code-writing agent rather than a ready-made one: sandbox agents get filesystem editing and an apply_patch tool, but you supply the agent, prompt and model.Source ↗
    • −Claude · PartlyThe SDK names only OpenAI models; non-OpenAI providers are reached through OpenAI-compatible endpoints or the beta Any-LLM and LiteLLM adapters, and Claude is never named in the docs.Source ↗
    • −Open models · PartlyAny OpenAI-compatible endpoint or the beta Any-LLM/LiteLLM adapters can be used, which covers self-hosted open-weight serving, but no open-weight model or local runtime is named in the docs.Source ↗
    View listing
  3. 03

    CrewAI

    Open-source multi-agent framework with a managed platform for deploying and governing agent workflows.

    From Free

    Why it's on this listDone-for-you service · PartlyYou run the software yourself, but the Enterprise plan sells forward-deployed engineers, onboarding and training separately, so people-delivered build help exists as a paid extra.Source ↗

    Where it improves on Langflow

    • +In your editor · PartlyThere is no CrewAI editor extension; instead the vendor publishes a skill pack that teaches Claude Code, Cursor and Codex to scaffold CrewAI projects inside your editor.Source ↗
    • +How it meters · PartlyMetering is per workflow execution rather than per seat, and the free tier states its allowance, but Enterprise volumes are sized case by case with unpriced overage.Source ↗

    Trade-offs against Langflow

    • −Writes code · PartlyAgents you build can author and run Python when code execution is switched on, but this is a capability of agents inside the framework rather than a product that ships code for you.Source ↗
    • −Getting out · PartlyAutomation source can be pulled back as a ZIP over the API and traces can be shipped to your own OpenTelemetry collector; nothing published covers rollover of unused executions.Source ↗
    View listing
  4. 04

    Letta

    Stateful agent harness, cloud and SDK for agents with persistent, git-versioned memory.

    From Free

    Why it's on this listWhole-codebase work · PartlySubagents read across large repositories and memory persists project knowledge, but no repo-wide migration claim.Source ↗

    Where it improves on Langflow

    • +Agent permissions · YesFour modes from strict to unrestricted, plus allow/deny tool patterns and a cross-agent memory guard.Source ↗
    • +In your editor · YesThe letta-acp adapter runs Letta as a custom agent in Zed, JetBrains IDEs and Obsidian.Source ↗

    Trade-offs against Langflow

    • −MCP server · NoMCP runs inbound only: Letta sessions consume stdio, HTTP and SSE MCP servers; no Letta MCP server is published.Source ↗
    • −Audit log · NoNo administrative audit log is published; the Enterprise list stops at RBAC, SSO, quotas and dedicated support.Source ↗
    • −Getting out · PartlyMemory is git-backed files you can inspect and sync to your own GitHub repo; credit expiry is never stated.Source ↗
    View listing
  5. 05

    LiveKit Agents

    Open-source Python and Node.js framework for voice AI agents, with LiveKit Cloud hosting, telephony and observability.

    From Free

    Why it's on this listHow it meters · YesBilling is a monthly platform fee plus metered consumption: each plan includes allotments of agent session minutes, telephony minutes and inference credits, then overage is charged per minute, per 1,000 requests or per million tokens, so cost tracks usage rather than seats.Source ↗

    Where it improves on Langflow

    • +A company can buy it · YesPaid plans are self-serve by card; Enterprise is quoted, adds non-credit-card billing and a support SLA, and requires an annual commitment. Team collaboration starts on Ship.Source ↗
    • +Opt out of training · YesNothing to opt out of: zero retention is the default on every plan, LiveKit logs no prompts, audio or completions, and voice-clone samples are opted out of provider training on your behalf.Source ↗

    Trade-offs against Langflow

    • −MCP server · PartlyThe agent is the MCP client: it consumes tools from remote HTTP or local stdio MCP servers, Python only. LiveKit does not expose a running agent as an MCP server for another agent to query.Source ↗
    • −Bring your own key · PartlyProvider plugins run on your own account, key and billing, and self-hosted agents run in your own cloud. Bringing your own key to traffic routed through LiveKit Inference is not supported.Source ↗
    • −Getting out · PartlyRecordings go straight to your own S3, GCS or Azure bucket and traces export to any OpenTelemetry backend, but unused inference credits expire monthly, observability data is kept 30 days, and metrics export APIs are Scale and above.Source ↗
    View listing
  6. 06

    Microsoft Agent Framework

    Open-source .NET, Python and Go SDK for building AI agents and graph-based multi-agent workflows.

    From Free

    Why it's on this listWhole-codebase work · PartlyThe Harness targets long multi-step work with context compaction, file memory and todo tracking, and shell tools default to working-directory confinement; the vendor documents no repository indexing or repo-wide migration.Source ↗

    Where it improves on Langflow

    • +Agent permissions · YesApproval is per tool and configurable in code: the local shell tool asks for every command by default, regex allow and deny lists pre-filter commands, and disabling approval requires an explicit unsafe acknowledgement.Source ↗
    • +How it meters · PartlyThe framework itself costs nothing, so all spend is model and tool consumption metered by whichever provider you configure; Microsoft publishes no calculator and states the usage cost is yours.Source ↗

    Trade-offs against Langflow

    • −Writes code · PartlyAgents you build can write and run code through CodeAct or a provider-hosted code interpreter, but both are gated: the documented CodeAct connector is in preview and code interpreter depends on the model provider you choose.Source ↗
    • −On the command line · PartlyA terminal surface exists only as developer tooling: the DevUI command line launches agents from a directory, and the Harness console apps are explicitly samples rather than shipped components.Source ↗
    • −In a browser · PartlyDevUI gives a browser interface for running and debugging agents, but the vendor labels it a sample app unfit for production; shipping a real web surface means adding the preview AG-UI or ChatKit integrations.Source ↗
    View listing
  7. 07

    LangChain

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

    From Free

    Why it's on this listWhole-codebase work · PartlyEngine reads a whole connected repository to ground fixes and dcode carries context across sessions, but no page claims a repository-wide migration or multi-file refactor as a supported job.Source ↗

    Where it improves on Langflow

    • +Done-for-you service · PartlyYou run the software yourself on every self-serve plan; only Enterprise buyers get LangChain engineers, architectural guidance and team training alongside the product.Source ↗
    • +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.Source ↗

    Trade-offs against Langflow

    • −Self-hosted · PartlyThe 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.Source ↗
    • −Open source · PartlyThe 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.Source ↗
    • −Bring your own key · PartlyYou 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.Source ↗
    View listing
  8. 08

    LlamaIndex

    Open-source agent framework plus a credit-metered document parsing, extraction and indexing platform.

    From Free

    Why it's on this listIn your editor · PartlyReached inside IDE agents through the hosted MCP server and coding-agent skills, not as a first-party IDE extension.Source ↗

    Where it improves on Langflow

    • +How it meters · YesBilling is credit-metered on top of a flat monthly plan fee: each parse, index or extract action spends credits at 1,000 credits for $1.25, plans bundle 10K to 400K credits, and pay-as-you-go above the bundle is capped per plan ($500/mo on Starter, $5,000/mo on Pro).Source ↗
    • +A company can buy it · YesOrganizations hold members and projects; Enterprise is contracted with sales.Source ↗

    Trade-offs against Langflow

    • −Writes code · PartlyBuilder turns natural language into workflow code; it does not author application code from a description.Source ↗
    • −Runs autonomously · PartlyParse/extract/classify jobs run unattended via API, SDK or MCP; multi-step workflows are explicitly built to include human review.Source ↗
    • −Open models · PartlyThe open-source framework integrates HuggingFace and local models; the hosted platform's enumerated model families are OpenAI, Anthropic and Google only.Source ↗
    View listing
  9. 09

    LangGraph

    Open-source orchestration framework and runtime for stateful, long-running LLM agents, from LangChain.

    From Free

    Why it's on this listIn your editor · PartlyNo editor extension is documented. The vendor's own development surface is LangSmith Studio, a browser IDE that attaches to a locally running Agent Server; your own editor is where you write the graph.Source ↗

    Where it improves on Langflow

    • +In your pipeline · YesThe vendor publishes a CI/CD reference pipeline with a companion repository: tests and offline evals on a PR, then quality-gated preview and production deploys via the Control Plane API.Source ↗
    • +How it meters · YesTwo meters at once on the managed platform: a per-seat licence at 39 dollars per seat per month, plus consumption in LangChain Compute Units (1.50 dollars) and Storage Units (1.00 dollar). The library itself is free.Source ↗

    Trade-offs against Langflow

    • −Getting out · PartlyBulk trace export to an S3-compatible bucket in Parquet is Enterprise-only for anyone who signed up after 3 August 2026. Usage is metered in arrears rather than prepaid, so there is no credit balance to expire.Source ↗
    View listing

What to watch for

  • AutoGenIt is a code library, not a hosted service. You build, host and operate the agents yourself.
  • OpenAI Agents SDK (Python)No automatic step-by-step checkpointing, `RunState` only snapshots at human-in-the-loop approval pauses, so you manage durable state yourself outside of that.
  • CrewAIPricing jumps directly from a free 50-execution Basic tier to custom Enterprise, with no self-serve plan in between
  • LettaSmaller ecosystem and community than LangChain, LlamaIndex or Microsoft AutoGen.
  • LiveKit AgentsA framework, not a no-code or dashboard-first builder. Expect to write and deploy real code, unlike this category's more configured rivals.
  • Microsoft Agent FrameworkIt is a code library plus an optional managed layer, not a no-code product. You (or Foundry Hosted Agents) run and operate it.
  • LangChainFast-moving: core abstractions have changed across major versions, so older tutorials can mislead.
  • LlamaIndexNo document classification or human-review interface; layout-aware extraction is on the platform, classification is not
  • LangGraphNo native token-budget or cost-limit management in the framework. Cost caps have to be handled at the model-integration level.

Side by side

Compare Langflow with the shortlist

Compare alternatives to Langflow

The digest

Which agents actually ship. New agents and articles, by email, at most once a week.

Questions buyers ask

What are the best alternatives to Langflow?

AutoGen, OpenAI Agents SDK (Python) and CrewAI are the closest. They share the most of Langflow's features.

What is the cheapest alternative to Langflow?

AutoGen, OpenAI Agents SDK (Python) and CrewAI and 6 more have a free plan.

Which agents here have a free plan?

9 of the 9: AutoGen, OpenAI Agents SDK (Python), CrewAI, Letta and LiveKit Agents and 4 more.

When were these prices checked?

Between 13 September 2026 and 24 October 2026, each read on the maker's own pricing page.

Sources and method

Closest first: most of Langflow's features, then the fewest gaps. How we rank

Every price here was read on the maker's own pricing page.

The digestFree

Which agents actually ship.

New agents and articles, by email, at most once a week.

Last issue · No. 1 · 13 October 2026Devin vs Claude Code: Which Should You Pick?

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Last issue: Devin vs Claude Code: Which Should You Pick? · 13 October 2026