Question 1

What is Synapse AI?

Accepted Answer

Synapse AI is an open-source platform for deterministic, cost-controlled multi-agent AI workflows — built for teams whose autonomous agents (CrewAI, AutoGen, LangGraph) wander off-plan and burn tokens. Instead of letting the LLM pick its own next step, you wire the path as a DAG: same input, same path, every run. It provides a visual DAG builder, 10 step types, support for 14+ LLM providers with per-step model selection, 10+ native tool servers, built-in MCP server support, an AI Builder for creating workflows from plain English descriptions, human-in-the-loop via Slack/Discord/Telegram/Teams/WhatsApp, and per-run cost caps. Available under AGPL-3.0.

Question 2

How is Synapse AI 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. Synapse AI is a complete platform built around the opposite premise — deterministic paths instead of autonomous loops. It ships a visual DAG builder, 10 typed step types (Agent, LLM, Tool, Evaluator, Parallel, Merge, Loop, Transform, Human, End), built-in tool servers for Python execution, browser automation, SQL, web scraping, PDF/Excel parsing, an AI Builder that generates DAGs from English, human-in-the-loop across 5 messaging platforms, per-run cost caps, and scheduling. All with zero glue code.

Question 3

How is Synapse AI 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. Synapse AI uses strict DAG execution: every run follows the exact path you define, so cost and behavior are bounded by design. Synapse also adds per-step LLM selection (cheap model for routing, frontier model only where reasoning matters), 10 native tool servers, AI Builder (Chat-to-DAG), per-run cost caps, and 5-platform human-in-the-loop. CrewAI has none of these.

Question 4

What LLM providers does Synapse AI support?

Accepted Answer

Synapse AI supports 14+ LLM providers: Anthropic (Claude 3.5, Claude 3.7 Sonnet, Claude 3 Opus), OpenAI (GPT-4o, o1, o3-mini), Google Gemini (1.5 Pro, 2.0 Flash, Gemma), xAI (Grok-2, Grok-3), DeepSeek (V3, R1 reasoning), AWS Bedrock, Ollama (any local model, fully offline), OpenRouter/Together AI via OpenAI-compatible endpoints, 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 Synapse AI run locally without sending data to the cloud?

Accepted Answer

Yes. Synapse AI 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 Synapse AI include?

Accepted Answer

Synapse AI 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 Synapse AI?

Accepted Answer

Install on macOS/Linux: curl -sSL https://raw.githubusercontent.com/synapseorch-ai/synapse-ai/main/setup.sh | bash. On Windows: irm https://raw.githubusercontent.com/synapseorch-ai/synapse-ai/main/setup.ps1 | iex. Via npm: npm install -g synapse-orch-ai then run synapse. Via pip: pip install synapse-orch-ai then run synapse. Requires Python 3.11+ and Node.js 22+. After install, run synapse setup to configure API keys.

Question 8

Does Synapse AI 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 delivered via Slack, Discord, Telegram, Microsoft Teams, or WhatsApp. 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 the AI Builder in Synapse AI?

Accepted Answer

The AI Builder is Synapse'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 Synapse AI support scheduling?

Accepted Answer

Yes. Agents and orchestrations 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 are auto-pushed to any configured messaging channel: Slack, Discord, Telegram, Teams, or WhatsApp.

Question 11

Is Synapse AI free and open source?

Accepted Answer

Yes. Synapse AI is fully open source under the AGPL-3.0 license. There is no paid tier and no feature gating. The source code is at https://github.com/synapseorch-ai/synapse-ai. The current version is 1.6.5, available on both PyPI (synapse-orch-ai) and npm (synapse-orch-ai).

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