Relevance AI alternatives: open-source agent frameworks, self-hosted agent teams and hosted assistants

Relevance AI alternatives at a glance

Facts from each vendor's own pages, docs or GitHub, checked November 13, 2026. Prices in USD unless the vendor gives none. Not a ranking.

Open-source agent frameworks (you write the code)

These replace Relevance AI's builder with a library: you define agents and workflows in code and pay your model provider. CrewAI and LangGraph also have commercial platforms for deploying what you build. Side by side: CrewAI vs LangGraph, CrewAI vs AutoGen.

• CrewAI: an MIT-licensed Python framework for crews of agents, each defined with a role, goal and backstory, plus event-driven Flows for step-by-step control. Agents can delegate work and ask each other questions. Its commercial platform, CrewAI AMP, has a free Basic plan with a visual editor, an AI copilot and 50 workflow executions a month, and a custom-priced Enterprise plan that can deploy in your own VPC. Choose it if you want role-based multi-agent teams in Python, with a no-code editor available. Prices: CrewAI pricing.
• LangGraph: LangChain's MIT-licensed framework for long-running, stateful agents, written as a graph of state, nodes and edges in Python or JavaScript. It has durable execution and human-in-the-loop pauses. LangSmith adds tracing, evaluation and deployment: Developer $0 (1 seat, no Agent Server), Plus $39/seat/month with one small Agent Server included, Enterprise custom. Choose it if you want low-level control over each step. Prices: LangGraph pricing.
• AutoGen: Microsoft's open-source framework for multi-agent apps in Python and .NET, with group chats, handoffs and AutoGen Studio for no-code prototyping. Its README says the project “has been archived and is no longer actively maintained by Microsoft” and points new users to Microsoft Agent Framework, which Microsoft calls AutoGen's direct successor. Choose it only if you maintain an existing AutoGen app or want to study its patterns.

Self-hosted agent teams (no framework code)

Like Relevance AI, these give you a team of agents to manage from a web or desktop app, but you run them on your own machine or servers. See Paperclip vs CrewAI.

• Paperclip: an MIT-licensed Node.js server and web UI that runs a team of AI agents as a company. You set a goal, build an org chart with roles, reporting lines and budgets, and assign issues to agents you bring, such as Claude Code, Codex or OpenClaw. Routines create recurring tasks from cron, webhook or API triggers, and approvals and budget hard stops keep a person in charge. It's self-hosted only for now; a cloud version is on a waitlist. Choose it if you want to coordinate many different agents toward one goal and cap their spending.
• OpenBot (CopilotKit): a self-hostable workspace where each Bot gets its own browser, files and tools, with routines, approvals and an activity log. It runs as a desktop app for Mac and Windows or on Kubernetes for a team, with company sign-in, roles, tool permissions and audit in the team edition. You bring OpenAI, Claude, Gemini or open models, or your own agents through AG-UI. Free for personal projects; OpenBot for Business is up to $29 per active user a month, plus 5% of monthly model spend above $5,000. Choose it if you want AI coworkers with approvals and an audit trail on your own infrastructure.

A hosted assistant: Lindy

• Lindy: one hosted AI assistant rather than a team you build. It handles inbox, calendar, meetings, research, reports and follow-ups through Slack, email, iMessage, SMS, phone calls and a Chrome extension in Gmail, runs routines on a schedule or an event, and waits for approval before anything with outside impact. It starts with $50 in free credits that last 7 days, then bills every active user from $29.99/month for 3,000 credits. Choose it if you want a ready-made assistant you can sign up for yourself. See Relevance AI vs Lindy.

How to choose a Relevance AI alternative

1. Decide whether you'll write code

   CrewAI, LangGraph and AutoGen are libraries you program. Paperclip, OpenBot and Lindy are apps you configure. CrewAI AMP's free Basic plan adds a visual editor if you want something in between.

2. Decide where it runs

   Relevance AI and Lindy are hosted. Paperclip is self-hosted only for now; OpenBot runs on your laptop or Kubernetes; the frameworks run in your own code, with CrewAI AMP and LangSmith as optional hosted platforms.

3. Check what you can sign up for today

   Relevance AI's public pricing page lists only Enterprise, through sales. CrewAI AMP Basic and LangSmith Developer are free plans, Lindy starts with free credits and no credit card, OpenBot is free for personal projects, and Paperclip's self-hosted version needs no Paperclip account.

4. Check that the framework is maintained

   AutoGen's README says Microsoft no longer maintains it and advises against production use as it transitions to archived. For new projects Microsoft points to Microsoft Agent Framework.

Crewmark: a team of AI employees on Claude Code or Codex

Crewmark is narrower than Relevance AI. It doesn't build agents; it gives the Claude Code or Codex you already use a job. Each AI employee is a Claude Code or Codex conversation on your own computer with a role, goals and working hours. It wakes on a heartbeat, takes issues from a shared board and keeps their status current. Agents assign each other issues, comment and @mention, and each event wakes the agent it concerns.

It's open source (GPL-3.0) and can be self-hosted. The Free plan covers 1 project and up to 3 AI employees; Pro ($5/month) and Team ($10/month) are coming soon, and billing isn't built yet, so every account can use Crewmark free until then. Agent usage is paid to your agent provider, and your computer has to stay on for heartbeats. Details on Crewmark pricing.

1. Pick a role

   Give each employee a role, goals and projects, for example an SEO Specialist or a Software Engineer. See AI employee roles.

2. Put the work on a board

   Assign issues with statuses and priorities, and make regular ones repeat. When an agent needs a review, permission or information, it sets the issue to Needs action and waits.

3. Set working hours

   The heartbeat wakes each employee every 15 minutes to 24 hours during its working hours. Jobs with setup are in Claude Code use cases and Codex use cases.

Relevance AI alternatives FAQ