Question 1

What is SynapseOrch?

Accepted Answer

SynapseOrch is AI workflow automation you can read, approve and rely on. Describe a recurring job in plain words and Build with AI draws the workflow; every run follows the same path, and a person signs off before anything goes out. Instead of letting the model pick its own next step, the path is fixed: same input, same path, every run. Each step can use a different model from 23+ providers, and approvals can be answered in the app or from a chat app (Telegram on Cloud; Slack, Discord, Teams and WhatsApp when self-hosted). Open source under AGPL-3.0, or managed on SynapseOrch Cloud.

Question 2

How is SynapseOrch different from LangChain?

Accepted Answer

LangChain is a Python library: you write code to chain LLM calls together, and most production setups end up as autonomous ReAct loops with no upper bound on tool calls or cost. SynapseOrch is a complete platform built around the opposite premise — deterministic paths instead of autonomous loops. It ships a visual workflow builder with typed steps (Agent, LLM, Tool, Evaluator, Parallel, Merge, Loop, Transform, Human, End and more), built-in tool servers for Python execution, browser automation, SQL, web scraping and PDF/Excel parsing, an AI Builder that drafts workflows from plain English, human sign-off from the app or chat apps, and scheduling. All with zero glue code.

Question 3

How is SynapseOrch different from CrewAI?

Accepted Answer

CrewAI uses role-based agents that emergently pick their own next step — great in demos, hard to predict in production where a single run can balloon to dozens of tool calls and tens of dollars. SynapseOrch uses strict DAG execution: every run follows the exact path you define, so cost and behavior are bounded by design. SynapseOrch also adds a model per step (a small model for routing, a strong one only where reasoning matters), built-in tool servers, an AI Builder that drafts workflows from plain English, and human sign-off from the app or chat apps.

Question 4

What LLM providers does SynapseOrch support?

Accepted Answer

SynapseOrch supports 23+ LLM providers: Anthropic (Claude), OpenAI (GPT and o-series), Google (Gemini and Gemma), xAI (Grok), DeepSeek, Mistral, Kimi (Moonshot), Qwen, Z.ai, MiniMax, OpenRouter, Groq, Cerebras, Together AI, Fireworks AI, NVIDIA NIM, Hugging Face, AWS Bedrock, Ollama (any local model, fully offline), any OpenAI-compatible endpoint, and CLI providers (Claude Code CLI, Gemini CLI, Codex CLI, GitHub Copilot CLI) that use existing subscriptions without API keys. Each step in a workflow can use a different provider.

Question 5

Can SynapseOrch run locally without sending data to the cloud?

Accepted Answer

Yes. SynapseOrch runs fully locally. Use Ollama for LLMs (any model pulled via ollama pull), a local Docker container for the Python sandbox, and local file storage for the Vault. The orchestration engine, tool servers, and frontend all run on your machine. No data leaves your infrastructure unless you explicitly configure a cloud LLM provider.

Question 6

What tool servers does SynapseOrch include?

Accepted Answer

SynapseOrch ships 10 native tool servers that start automatically: Python Sandbox (Docker-isolated, 512 MB RAM, pandas/numpy/scikit-learn pre-loaded), Vault (persistent agent file storage), SQL Agent (PostgreSQL, MySQL, SQLite, MSSQL), Browser (Playwright Chromium automation), Web Scraper (crawl4ai with stealth anti-bot mode), PDF Parser, Excel Parser, Collect Data (dynamic input forms), Time (natural language date parsing), and Code Search (semantic search via ChromaDB embeddings). All accessible to agents with no extra setup.

Question 7

How do I install SynapseOrch?

Accepted Answer

On macOS or Linux, in a terminal: curl -LsSf https://github.com/synapseorch-ai/synapse-ai/releases/latest/download/setup.sh | bash. On Windows, in PowerShell: irm https://github.com/synapseorch-ai/synapse-ai/releases/latest/download/setup.ps1 | iex. The installer brings Python and Node.js when they are missing, asks which AI to use, and ends with a link to open. With Docker: docker run -d --name synapse -p 3000:3000 -p 127.0.0.1:8765:8765 -v synapse-data:/data -v /var/run/docker.sock:/var/run/docker.sock synapseorchai/synapse-ai:latest. Or npm install -g synapse-orch-ai (Node.js 18+), or pip install synapse-orch-ai (Python 3.11 to 3.14 and Node.js 20.9+), then run synapse. Every way is at https://synapseorch.com/install/.

Question 8

Does SynapseOrch support human-in-the-loop workflows?

Accepted Answer

Yes. The Human step type pauses any workflow and requests input from a human before continuing. Prompts can be answered in the app or from a chat app: Telegram on SynapseOrch Cloud; Slack, Discord, Telegram, Microsoft Teams or WhatsApp when self-hosted. Forms support text, number, email, date, phone, and dropdown fields. Execution is resumable and survives server restarts and network interruptions. The human's response feeds directly into subsequent steps, enabling approval gates, data corrections, and collaborative AI pipelines.

Question 9

What is Build with AI in SynapseOrch?

Accepted Answer

Build with AI is SynapseOrch's Chat-to-DAG feature. Describe what you want your workflow to do in plain English, for example "research a topic, write a blog post, save it to a file", and the AI Builder automatically constructs the complete DAG: selecting the right step types, wiring agents, configuring tool calls, and setting up the data flow. You can then edit the generated DAG visually.

Question 10

Does SynapseOrch support scheduling?

Accepted Answer

Yes. Agents and workflows can be scheduled to run automatically on an interval (every N minutes/hours/days) or via cron expressions (e.g., every weekday at 9 AM). Each scheduled run can have standing instructions and results can be pushed to a configured chat app (Telegram on SynapseOrch Cloud; Slack, Discord, Telegram, Teams or WhatsApp when self-hosted).

Question 11

Is SynapseOrch free and open source?

Accepted Answer

Yes. The engine is fully open source under the AGPL-3.0 licence, with no licence check, telemetry or feature gate when you self-host. The source code is at https://github.com/synapseorch-ai/synapse-ai, and the current release is 1.9.1 on PyPI and npm (synapse-orch-ai). SynapseOrch Cloud, the managed service, has a free plan and paid plans from $19 a month.

Compared	SynapseOrch	Lindy
What it is	Workflows you approve, run on schedule or from a message	An AI teammate in Slack, iMessage and email
How a job runs	The steps you approved, branching only where you drew a check	Lindy works out the steps each time; scripts only for personal routines
A person signs off	A step in the workflow, wherever it runs	Guardrails in shared Slack threads; DMs, web chat and iMessage aren’t guarded
Who pays	One plan per workspace; viewers are free	Every active user is billed
What a credit buys	A published price per step type, shown on every run	About a cent; tasks priced as ranges (2 to 250 credits for everyday asks)
Models	Ours with no key, or your own keys for 23+ providers	Pick a model per task; no bring-your-own key
Open source	Yes, AGPL-3.0; run it on your own servers	No; a hosted service only
Apps	50+ by signing in, plus any API or MCP server	1,000+ integrations

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