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Open-source alternatives to Copilot Studio

The highest-scoring open-source projects in Agent platforms. They are picks, not exact replacements, so read the weaknesses before you switch.

Open-source alternatives to Copilot Studio
RankProjectScore
1LangflowVisual flow builder that deploys agents as APIs or MCP serversAgent platforms, 155.5k stars, MIT73 out of 100
2DifyVisual LLM app platform with workflows, RAG pipeline, agents and APIs Live demo ↗ (opens in a new tab)Agent platforms, 158.1k stars, custom license72 out of 100
3AutoGPTBlock-based builder for agents that run on demand, schedule or trigger Live demo ↗ (opens in a new tab)Agent platforms, 187.5k stars, custom license70 out of 100
#4SimWorkspace to build, deploy and monitor agents with 1,000+ integrationsAgent platforms, 29.8k stars, Apache-2.070 out of 100
#5MulticaIssue board where AI coding agents take assignments like teammatesAgent platforms, 52.4k stars, custom license68 out of 100
#6PaperclipTask manager and org chart for teams of AI agents with budgetsAgent platforms, 99.6k stars, MIT67 out of 100
#7SkyvernBrowser automation agent driven by vision LLMs over Playwright Live demo ↗ (opens in a new tab)Agent platforms, 23.2k stars, AGPL-3.066 out of 100
#8Agent ZeroAgent framework that gives the model a full Linux desktop in DockerAgent platforms, 19.4k stars, custom license62 out of 100
#9FastGPTKnowledge-base Q&A and visual workflow platform for LLM appsAgent platforms, 29.8k stars, custom license61 out of 100
#10BotpressSDK, CLI and open-source integrations for the Botpress Cloud bot platform Live demo ↗ (opens in a new tab)Agent platforms, 14.9k stars, MIT38 out of 100

Reviews

173 out of 100

Langflow

Visual flow builder that deploys agents as APIs or MCP servers

155.5k stars, MIT, last commit Oct 2026

Langflow is a Python 3.10 to 3.14 visual builder (uv pip install langflow, or the langflowai/langflow Docker image on port 7860) for agents and LLM workflows. Every component is editable Python, flows run in an interactive playground, and a finished flow can be served as an API, exported as JSON for Python apps or exposed as an MCP server. Multi-agent orchestration and LangSmith or LangFuse tracing are built in.

Strengths

  • Any flow becomes an API endpoint or an MCP server for MCP clients
  • Component source is Python you can edit inside the builder
  • One container on port 7860; no other service in the quick start
  • MIT license; desktop builds for Windows and macOS

Weaknesses

  • README names no model providers, vector stores or resource needs
  • No root Dockerfile or compose file; container config lives in the docs
  • Enterprise-ready claim is not detailed in the README
  • no GPU
  • Docker + Compose
  • port 7860
Documentation ↗ (opens in a new tab)Website ↗ (opens in a new tab)Repository on GitHub ↗ (opens in a new tab)
272 out of 100

Dify

Visual LLM app platform with workflows, RAG pipeline, agents and APIs

Live demo ↗ (opens in a new tab)158.1k stars, custom license, last commit Oct 2026

Dify is an LLM app platform started with Docker Compose (dashboard on port 80) that needs 2 CPU cores and 4 GiB RAM. One canvas covers visual workflows, a prompt IDE, a RAG pipeline that ingests PDFs and PPTs, sandboxed agents using Marketplace tools, MCP servers or your own APIs, plus LLMOps tracing via Opik, Langfuse or Arize Phoenix. Hundreds of models work, including OpenAI-compatible endpoints.

Strengths

  • Workflow, RAG, agents, prompt IDE and model management in one canvas
  • Hundreds of models: GPT, Mistral, Llama3 and any OpenAI-compatible API
  • Observability through Opik, Langfuse and Arize Phoenix
  • Every feature is exposed through an API (backend-as-a-service)

Weaknesses

  • Dify Open Source License adds conditions on top of Apache 2.0
  • SSO, RBAC and support SLAs are reserved for Dify Enterprise
  • Minimum 2 CPU cores and 4 GiB RAM for the Compose stack
  • Dashboard binds to port 80 by default
  • RAM ≥ 4 GB
  • no GPU
  • Docker + Compose
  • Models: OpenAI GPT, Mistral, Llama 3, OpenAI-compatible APIs, dozens of inference providers
  • port 80
Live demo ↗ (opens in a new tab)Documentation ↗ (opens in a new tab)Website ↗ (opens in a new tab)Repository on GitHub ↗ (opens in a new tab)
370 out of 100

AutoGPT

Block-based builder for agents that run on demand, schedule or trigger

Live demo ↗ (opens in a new tab)187.5k stars, custom license, last commit Oct 2026

AutoGPT Platform lets you describe a job in plain English (AutoPilot) or wire blocks on a visual canvas, then run the agent on demand, on a schedule or from a trigger, with a dashboard of runs and costs and a marketplace of shared agents. It connects to 45+ platforms such as Gmail, Slack, GitHub and Notion. Self-hosting is free with your own Docker host and model API keys; the hosted platform is paid.

Strengths

  • Plain-English AutoPilot and a drag-and-connect block builder for the same agent
  • Agents run on demand, on schedules or from triggers with a run and cost dashboard
  • 45+ integrations including Gmail, Google Sheets, GitHub, Slack, Notion, Jira, Salesforce
  • Classic standalone agent still shipped under MIT in classic/

Weaknesses

  • Platform code is Polyform Shield: no offering it as a competing hosted service
  • README has no self-host commands; the single-container installer is still unreleased
  • Windows self-hosting is manual-guide only
  • Hosted platform charges per agent run; README is largely marketing
  • no GPU
  • Needs Docker
Live demo ↗ (opens in a new tab)Documentation ↗ (opens in a new tab)Repository on GitHub ↗ (opens in a new tab)
#470 out of 100

Sim

Workspace to build, deploy and monitor agents with 1,000+ integrations

29.8k stars, Apache-2.0, last commit Oct 2026

Sim is a Next.js and Bun app on PostgreSQL that builds agents visually, by chat or in code, with monitoring, schedules and logs. The npx sim-setup wizard (Node.js 20+ and Docker) provisions the database, secrets and images and serves port 3000. Tables, files and knowledge bases share the workspace, 1,000+ integrations such as Slack, Notion and HubSpot are available, and local models run via Ollama or vLLM.

Strengths

  • Built-in tables, file store and knowledge bases alongside workflows and chat
  • 1,000+ integrations including Slack, Notion, HubSpot, Salesforce and databases
  • Local models via Ollama and vLLM; Apache-2.0 license
  • sim-setup wizard adds email, storage, sandbox, jobs, cache or knowledge later

Weaknesses

  • Chat is a Sim-managed service; self-hosted installs need a Chat API key from sim.ai
  • Setup prompt in the README notes the Compose stack needs 12 GB+ RAM
  • Background jobs use Trigger.dev and remote code execution uses E2B
  • Self-hosting goes through an npx wizard rather than a documented compose file
  • RAM ≥ 12 GB
  • no GPU
  • Docker + Compose
  • Needs PostgreSQL, Docker, Sim Chat API key
  • Models: Ollama, vLLM
  • port 3000
Documentation ↗ (opens in a new tab)Website ↗ (opens in a new tab)Repository on GitHub ↗ (opens in a new tab)
#568 out of 100

Multica

Issue board where AI coding agents take assignments like teammates

52.4k stars, custom license, last commit Oct 2026

Multica is a workspace where issues are assigned to AI coding agents, which run through locally installed agent CLIs such as Claude Code, Codex, Cursor and Copilot (26 listed). A daemon on your own machine executes the work next to your code and reports progress back to the issue, which ends in review rather than main. The backend is Go with PostgreSQL 17, and clients cover web, Electron desktop and an Expo mobile app.

Strengths

  • Drives 26 existing agent CLIs, so no model or API lock-in
  • Execution log replays every tool call, command and error per run
  • Daemon runs on your own machine, so code stays there
  • Self-host via Docker Compose or Helm; works with GitHub, GitLab, Gitea, Forgejo

Weaknesses

  • Does not ship agents; each runtime needs a CLI installed and signed in
  • Custom Multica License (Apache 2.0 plus conditions on hosting, embedding, branding)
  • Requires Docker, a Go backend and PostgreSQL 17 to self-host
  • iOS app builds from source only; DingTalk, WeCom, Telegram are community-maintained
  • no GPU
  • Docker + Compose
  • Needs PostgreSQL 17, Docker, agent CLI (Claude Code, Codex, etc.)
  • Models: Claude Code, OpenAI Codex, Cursor Agent, GitHub Copilot CLI, OpenCode
Documentation ↗ (opens in a new tab)Website ↗ (opens in a new tab)Repository on GitHub ↗ (opens in a new tab)
#667 out of 100

Paperclip

Task manager and org chart for teams of AI agents with budgets

99.6k stars, MIT, last commit Oct 2026

Paperclip is a Node.js server and React UI that coordinates external agents (OpenClaw, Claude Code, Codex, Cursor, Gemini CLI and custom HTTP adapters) through tasks, approvals, org charts, budgets and routines. Agents wake on heartbeats, check out tasks atomically, and report work and spend to a dashboard; multi-org support, skills, GitHub, Notion and MCP connectors, and company export/import are built in.

Strengths

  • Company, agent and project budgets with alerts and automatic pause at limits
  • Atomic task checkout with execution locks prevents duplicate runs
  • Adapters for OpenClaw, Claude Code, Codex, Cursor, Gemini CLI, OpenCode, Hermes, Kimi
  • Export and import whole organizations with secret scrubbing

Weaknesses

  • Does no agent work itself; needs external agent runtimes installed and authenticated
  • Agent Chat and Slack, Discord, Telegram, AgentMail connectors are experimental
  • Paperclip Cloud is waitlist-only
  • Quickstart, ports and database are beyond the README's first 20,000 characters
  • no GPU
  • Docker + Compose
Documentation ↗ (opens in a new tab)Website ↗ (opens in a new tab)Repository on GitHub ↗ (opens in a new tab)
#766 out of 100

Skyvern

Browser automation agent driven by vision LLMs over Playwright

Live demo ↗ (opens in a new tab)23.2k stars, AGPL-3.0, last commit Oct 2026

Skyvern drives websites with vision LLMs instead of selectors: a Playwright-compatible Python/TypeScript SDK adds page.act, page.extract and page.validate, and a no-code builder chains tasks into workflows with loops, HTTP and code blocks. pip install skyvern[all] serves API and UI on port 8080 with SQLite by default; Docker Compose bundles Postgres. TOTP 2FA, Bitwarden, browser livestreaming and MCP are supported.

Strengths

  • Works on sites it has never seen; no XPath or CSS selectors to maintain
  • SQLite default means the pip path needs neither Postgres nor Docker
  • TOTP, email and SMS 2FA plus Bitwarden and custom credential services
  • Python and TypeScript SDKs extend standard Playwright calls with a prompt argument

Weaknesses

  • AGPL-3.0 license
  • Anti-bot measures, proxy network and CAPTCHA solving exist only in the paid cloud
  • Windows pip install needs Rust plus VS C++ tools and the Windows SDK
  • Authentication features are offered by email request; 1Password and LastPass unsupported
  • no GPU
  • Docker + Compose
  • Compose runs PostgreSQL
  • port 8080
Live demo ↗ (opens in a new tab)Documentation ↗ (opens in a new tab)Website ↗ (opens in a new tab)Repository on GitHub ↗ (opens in a new tab)
#862 out of 100

Agent Zero

Agent framework that gives the model a full Linux desktop in Docker

19.4k stars, custom license, last commit Sep 2026

Agent Zero runs as the agent0ai/agent-zero Docker image (port 80) and gives the agent an XFCE desktop, a browser with DOM annotation, LibreOffice and a shell in the container, all visible in a Canvas the user can take over. Projects isolate memory, secrets and repos, subagents split work, a Plugin Hub lists 100+ plugins, MCP and A2A are supported, and an A0 CLI connector bridges it to repos on the host.

Strengths

  • Full XFCE desktop and browser in the container; you can intervene with mouse and keyboard
  • Time Travel snapshots with diff inspection and revert for the agent workspace
  • 100+ community plugins installable from the Web UI
  • Runs on a $6 VPS or Raspberry Pi; A0 CLI connects host repositories

Weaknesses

  • Container listens on port 80 by default
  • README warns to keep it isolated and never mount your home directory
  • License is not stated in the README
  • Maintainers point to Space Agent as the more polished product direction
  • no GPU
  • Docker + Compose
  • Needs Docker
  • Models: OpenAI Codex plan (OAuth)
  • port 80
Website ↗ (opens in a new tab)Repository on GitHub ↗ (opens in a new tab)
#961 out of 100

FastGPT

Knowledge-base Q&A and visual workflow platform for LLM apps

29.8k stars, custom license, last commit Oct 2026

FastGPT builds agents and LLM apps from a visual Flow editor on top of a knowledge base that ingests TXT, MD, HTML, PDF, Docx, PPTX, CSV, XLSX and URLs with hybrid retrieval and reranking. A one-script Docker Compose install serves port 3000 (default login root / 1234), supports bidirectional MCP, chat and plugin workflows, evaluation, call-chain logs, login-free share pages and iframe embedding.

Strengths

  • Loaders for TXT, MD, HTML, PDF, Docx, PPTX, CSV, XLSX and URLs
  • Hybrid retrieval with reranking; chunks can be edited and deleted
  • Bidirectional MCP and RPA-style workflow nodes
  • One-script Docker Compose install

Weaknesses

  • FastGPT Open Source License forbids offering it as SaaS and requires kept copyright notices
  • Default credentials root / 1234 after install
  • Default README is Chinese; English lives in README_en.md
  • Debug mode, node logs and auto-generated workflows are still unchecked roadmap items
  • no GPU
  • Compose
  • port 3000
Documentation ↗ (opens in a new tab)Website ↗ (opens in a new tab)Repository on GitHub ↗ (opens in a new tab)
#1038 out of 100

Botpress

SDK, CLI and open-source integrations for the Botpress Cloud bot platform

Live demo ↗ (opens in a new tab)14.9k stars, MIT, last commit Oct 2026

This repository holds the TypeScript devtools for Botpress Cloud: the @botpress/cli (bp init, bp deploy), the @botpress/sdk and typed client, every public integration on the Botpress Hub, and example bots written as code. Bots themselves are built in the hosted Botpress Studio and powered by OpenAI; the on-premise server is the separate Botpress v12 repository. Everything here is MIT.

Strengths

  • All public Hub integrations are open source and contributable with bp init and bp deploy
  • Typed TypeScript SDK and API client for building integrations and bots as code
  • MIT license for every package in the repository

Weaknesses

  • The chatbot platform (Studio, runtime) is Botpress Cloud, not something you host from here
  • Self-hosted server is the separate, older Botpress v12 repository
  • Bots-as-code is described as not the recommended way to build bots
  • Plugins section is marked coming soon
  • no GPU
  • Docker
  • Models: OpenAI
Live demo ↗ (opens in a new tab)Documentation ↗ (opens in a new tab)Website ↗ (opens in a new tab)Repository on GitHub ↗ (opens in a new tab)