Langflow vs Sim
Two of the top agent platforms, side by side: score, setup, license, activity and what each review found.
Langflow
Visual flow builder that deploys agents as APIs or MCP servers
Sim
Workspace to build, deploy and monitor agents with 1,000+ integrations
| What we compare | Langflow | Sim |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 87, widely used | 53, popular |
| Freshness | 100, active | 100, active |
| Maintenance | 91, healthy | 84, healthy |
| Easy to run | 33, some setup | 50, easy |
| Agent-ready | 70, partly | 85, ready |
| Facts from GitHub and the README | ||
| Stars | 155.5k | 29.8k |
| License | MIT (permissive) | Apache-2.0 (permissive) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Oct 2026 | Oct 2026 |
| Language | Python | Not stated |
| Docker | Yes | Yes |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Not stated | Mentioned |
Langflow
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.
Who it is for: Developers prototyping agent flows who want Python under the hood
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
Sim
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.
Who it is for: Teams wanting a hosted-style agent builder on their own servers
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