# Alternatives to LangChain > Source: https://theagentsindex.com/langchain/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. Salesforce Agentforce Salesforce's platform for building, deploying and monitoring AI agents on top of CRM data. **Research coverage:** 35/35 criteria **Where it improves on LangChain:** - [Debugs and fixes: yes — Vibes runs the test or deployment, reads the failure and iterates toward a fix rather than stopping at the error.](https://developer.salesforce.com/docs/platform/agentforcevibes/guide/afv-agentic-dev.html) - [Writes tests: yes — Apex test classes and LWC Jest tests are generated alongside the code, with a dedicated QA Validator sub-agent for coverage.](https://developer.salesforce.com/docs/platform/agentforcevibes/guide/afv-agentic-dev.html) - [In your editor: yes — Agentforce Vibes ships as a VS Code extension and is preinstalled in the Salesforce-hosted Agentforce Vibes IDE.](https://developer.salesforce.com/docs/platform/agentforcevibes/guide/afv-overview.html) **Trade-offs against LangChain:** - [Agent permissions: partial — Guardrails and filters bound which topics and actions an agent may reach and data access honours existing Salesforce permissions, but an approval-before-every-action mode is documented only for the Agentforce Vibes coding agent.](https://www.salesforce.com/agentforce/how-it-works/) - [Open models: partial — The Salesforce-managed model list names only Anthropic, OpenAI/Azure OpenAI, Google Vertex, Amazon and NVIDIA (beta), with no Llama or Mistral, so open-weight models arrive only through the customer's own BYOLLM connection.](https://developer.salesforce.com/docs/ai/agentforce/guide/supported-models.html) - [On the command line: partial — Salesforce CLI drives the whole agent lifecycle from a terminal, but the Vibes coding agent itself is distributed only as a VS Code extension and a hosted IDE. There is no standalone Vibes CLI.](https://developer.salesforce.com/docs/ai/agentforce/guide/headless-tools.html) [View Salesforce Agentforce](https://theagentsindex.com/salesforce-agentforce) ### 2. Agno Python SDK, open-source AgentOS runtime and hosted control plane for building and operating agents. **Research coverage:** 35/35 criteria **Where it improves on LangChain:** - [Debugs and fixes: yes — Bug fixing is a documented pattern: reproduce, patch, rerun the failing tests.](https://docs.agno.com/use-cases/coding-agents) - [In your editor: yes — `agno connect` writes MCP config for Claude Code, Claude Desktop, Codex and Cursor so those clients can run your agents.](https://docs.agno.com/cli/connect) - [Self-hosted: yes — The runtime always runs in your own cloud; self-hosting the control plane itself is an Enterprise add-on.](https://www.agno.com/pricing) **Trade-offs against LangChain:** - [Ships it: partial — Publishing is deliberately outside the default loop; commits, PRs and deploys must be exposed as separately gated tools.](https://docs.agno.com/use-cases/coding-agents) - [Done-for-you service: no — You run the software in your own cloud; Enterprise adds dedicated build help, not a managed service.](https://www.agno.com/products/runtime) - [Agent permissions: partial — Runs are unattended unless a tool is marked for approval; then the run pauses in your database until an admin resolves it.](https://docs.agno.com/agent-os/approvals/overview) [View Agno](https://theagentsindex.com/agno) ### 3. 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 LangChain:** - [Bring your own key: yes — Point an agent at your own OpenAI-compatible endpoint with your own key held in workspace secret storage; inference then bills to you, not to ElevenLabs credits.](https://elevenlabs.io/docs/eleven-agents/customization/llm/custom-llm) **Trade-offs against LangChain:** - [Writes code: partial — ElevenLabs agents do not author code themselves; the Cursor integration lets an agent launch Cursor background agents that do, and needs a paid Cursor plan.](https://elevenlabs.io/docs/eleven-agents/customization/integrations/cursor) - [Ships it: partial — The CLI pushes agent configuration to the platform and into CI/CD; what it deploys is agents, not application code.](https://elevenlabs.io/docs/eleven-agents/operate/cli) - [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) [View ElevenLabs Agents](https://theagentsindex.com/elevenlabs-conversational-ai) ### 4. n8n Workflow automation platform for building and running AI agents on a visual canvas, with code where needed. **Research coverage:** 35/35 criteria **Where it improves on LangChain:** - [Self-hosted: yes — Docker, npm or Helm on your own boxes, air-gapped if required; the free Community edition needs no licence key, and Business or Enterprise features unlock with one.](https://n8n.io/) - [Bring your own key: yes — Your own provider credentials are the default and can be mixed per node with n8n Gateway credits (Cloud Starter and Pro only); on self-hosted the AI Assistant is BYOK, so no credit ceiling applies.](https://docs.n8n.io/build/understand-workflows/use-gateway-credits) **Trade-offs against LangChain:** - [Writes code: partial — Authors n8n workflows from a plain-language description; the built-in assistant only gives guidance for the JavaScript or Python you write in a Code node, and it never touches application source.](https://docs.n8n.io/build/ways-of-building-workflows/ai-workflow-builder) - [Writes tests: no — Native evaluations exist, but you supply the dataset and the expected outputs; no documented feature generates test cases for you.](https://docs.n8n.io/build/integrate-ai/test-and-improve-ai-workflows/understand-why-to-test) - [Ships it: partial — What it ships is the automation itself: publishing puts a workflow or agent version into production and schedules or channels then run it. It does not deploy application code.](https://docs.n8n.io/build/build-and-manage-agents) [View n8n](https://theagentsindex.com/n8n) ### 5. Glean Enterprise AI platform for building, governing and running agents on permission-aware company context. **Research coverage:** 35/35 criteria **Where it improves on LangChain:** - [Debugs and fixes: yes — Vendor names bug fixes as a target task; the Resolve Jira ticket agent turns an issue into a review-ready PR.](https://docs.glean.com/administration/assistant/features/code-writer) - [In your editor: yes — A remote MCP server puts Glean inside Cursor, VS Code, Windsurf, JetBrains AI Assistant and Claude Desktop.](https://www.glean.com/platform/api) - [Bring your own key: yes — Customer Key lets you use your own provider keys, and credits are discounted for doing so; Glean's Universal Model Key is the alternative.](https://docs.glean.com/administration/llms) **Trade-offs against LangChain:** - [Ships it: no — It stops at a draft pull request; review and merge stay in the customer's source control.](https://docs.glean.com/administration/assistant/features/code-writer) - [Done-for-you service: no — Glean sells licensed software; it manages the infrastructure and application but customers build and run their own agents.](https://docs.glean.com/get-started/prepare/about-deployment) - [Agent permissions: partial — Write actions require confirmation and are checked before execution; source-system permissions are re-checked on every request, but read work proceeds unattended.](https://www.glean.com/platform/security) [View Glean](https://theagentsindex.com/glean) ### 6. LangGraph Open-source orchestration framework and runtime for stateful, long-running LLM agents, from LangChain. **Research coverage:** 35/35 criteria **Where it improves on LangChain:** - [Self-hosted: yes — The library is MIT-licensed and installed with pip or npm, so it runs wherever you install it; self-hosting the managed Agent Server platform is a separate Enterprise hosting option.](https://www.langchain.com/langgraph) - [Open source: yes — MIT-licensed library developed in the open by LangChain Inc; the product page's primary call to action links to the GitHub repository.](https://www.langchain.com/langgraph) - [Bring your own key: yes — You supply provider keys directly in your own code, and the LLM Gateway's bring-your-own-key row is checked on every plan. Enterprise adds hybrid and self-hosted so inference and data stay in your cloud.](https://www.langchain.com/pricing) **Trade-offs against LangChain:** - [Done-for-you service: no — You run the software. On selected annual contracts LangChain assigns an AI engineer, but the published scope is advisory - best practices, guidelines, troubleshooting and reviews.](https://www.langchain.com/support-plans) - [Agent permissions: partial — There are no preset permission tiers: you decide where the agent must stop by placing interrupt() calls, which pause the graph and wait for approval before continuing.](https://www.langchain.com/langgraph) - [Admin controls: partial — Workspace RBAC and tag-based ABAC are Enterprise-only; other plans default every user to Admin. Gateway cost controls, rate limiting and PII redaction are checked on all three plans.](https://docs.langchain.com/langsmith/rbac) [View LangGraph](https://theagentsindex.com/langgraph) ## Method Unknown data is never treated as a benefit or a trade-off. Featured placement is labelled but cannot alter recommendation order.