# Alternatives to GC AI > Source: https://theagentsindex.com/gc-ai/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. 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 GC AI:** - [Done-for-you service: partial — You run the software yourself on every self-serve plan; only Enterprise buyers get LangChain engineers, architectural guidance and team training alongside the product.](https://www.langchain.com/pricing) - [Runs autonomously: yes — Engine scans traces and drafts fixes on a schedule with nobody watching, and deployed agents run as background or cron-scheduled jobs rather than only in a chat session.](https://www.langchain.com/pricing) - [Open models: yes — Open-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.](https://docs.langchain.com/oss/python/integrations/chat/ollama) **Trade-offs against GC AI:** - No researched regression against the baseline. [View LangChain](https://theagentsindex.com/langchain) ### 2. 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 GC AI:** - [Done-for-you service: partial — You run the software yourself, but Enterprise adds vendor engineers on the build: dedicated help with your product agent, monthly office hours and ChatGPT/Claude app help.](https://www.agno.com/pricing) - [Runs autonomously: yes — Agents, teams and workflows run unattended on cron schedules and as background jobs, with persisted retries, so a run needs no human present unless a pause is configured.](https://docs.agno.com/features/scheduling) - [Open models: yes — Open-weight models run through documented local runtime adapters for Ollama, vLLM, llama.cpp and LM Studio, so inference can stay on your own hardware.](https://docs.agno.com/models/providers/model-index) **Trade-offs against GC AI:** - [Certifications: partial — SOC 2 compliance is asserted in the trust band on the enterprise and SDK pages, but no ISO 27001 or GDPR statement is published; security reviews are an Enterprise item.](https://www.agno.com/enterprise) [View Agno](https://theagentsindex.com/agno) ### 3. UiPath Agent Builder Low-code canvas in UiPath Studio Web for building AI agents that run on the UiPath automation platform. **Research coverage:** 35/35 criteria **Where it improves on GC AI:** - [Runs autonomously: yes — Autonomous is one of the two agent types you pick at creation, human escalation is marked optional in the build flow, and a deployed agent runs as an unattended Orchestrator job; UiPath itself steers high-stakes regulated work back to deterministic automation.](https://docs.uipath.com/agents/automation-cloud/latest/user-guide/building-an-agent-in-studio-web) - [Open models: partial — No open-weight family appears in the closed docs table of models supported for Agents, which lists only Google, OpenAI and Anthropic; open-source models are offered only for on-premises Automation Suite, plus a generic connector for any OpenAI-V1-compatible endpoint.](https://www.uipath.com/product/automation-suite) - [Model choice: yes — You pick the model per agent from the Properties panel, models are provisioned through the AI Trust Layer, and the vendor states a model can be swapped later without rebuilding the agent.](https://www.uipath.com/platform/agentic-automation/agentic-ai/agent-builder) **Trade-offs against GC AI:** - [Admin controls: partial — Admins get Automation Ops governance policies that can override an agent's model settings, plus custom roles and access policies, but both rows carry an em dash on the Basic tier and start at Standard.](https://www.uipath.com/pricing) [View UiPath Agent Builder](https://theagentsindex.com/uipath-agent-builder) ### 4. 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 GC AI:** - [Done-for-you service: partial — Agentforce is software the customer configures in a low-code builder; Salesforce separately sells Professional Services that performs the hands-on build, reached through an account executive rather than bundled with the product.](https://www.salesforce.com/services/professional-services/) - [Runs autonomously: yes — Autonomy is a per-agent setting rather than a fixed trait; agents escalate to a human when an issue exceeds their scope.](https://www.salesforce.com/agentforce/guide/) - [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) **Trade-offs against GC AI:** - [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/) - [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) ### 5. 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 GC AI:** - [Runs autonomously: yes — Agents run a reasoning loop until they produce a result and fire from schedules or channels with nobody watching; approval steps are something you add.](https://docs.n8n.io/build/build-and-manage-agents) - [Open models: yes — Ollama chat and embedding nodes run local open-weight models; OpenRouter, Hugging Face Inference, DeepSeek and Mistral nodes cover hosted open-weight options.](https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatollama) - [Model choice: yes — You pick the provider and model per node or per agent, and swap it without rebuilding the workflow; a fallback model can be attached to an agent.](https://n8n.io/) **Trade-offs against GC AI:** - [Seat model: no — Not 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).](https://n8n.io/pricing/) - [Certifications: partial — SOC 2 audited with external pen tests and a public Trust Center; GDPR is covered by a pre-signed DPA carrying the Standard Contractual Clauses. No ISO 27001 claim appears anywhere on the site.](https://n8n.io/enterprise/) [View n8n](https://theagentsindex.com/n8n) ### 6. Gumloop Multiplayer AI agent builder: teams build agents over their apps while IT keeps governance and spend control. **Research coverage:** 32/35 criteria **Where it improves on GC AI:** - [Runs autonomously: yes — Plain-English triggers let agents monitor apps or the web and act with no human in the loop; scheduled and webhook triggers run unattended.](https://www.gumloop.com/products/agents) - [Open models: yes — Open-weight families are runnable as hosted agents, but always through Gumloop's US-based inference providers rather than weights you host yourself.](https://docs.gumloop.com/core-concepts/ai_models) - [Model choice: yes — The buyer picks the model per agent from 35+ options on both plans, can swap freely, and Enterprise admins can restrict the allowed set.](https://www.gumloop.com/solutions/security) **Trade-offs against GC AI:** - [Admin controls: partial — Pro 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.](https://www.gumloop.com/pricing) - [Data residency: partial — Region choice comes with the optional Enterprise VPC deployment; on managed SaaS the vendor names no region options and routes open models through US-based providers.](https://www.gumloop.com/solutions/security) [View Gumloop](https://theagentsindex.com/gumloop) ## Method Unknown data is never treated as a benefit or a trade-off. Featured placement is labelled but cannot alter recommendation order.