Synapse AI

We’ve all been there: you try out a new AI agent framework, the "hello world" demo looks like magic, but the moment you try to build something for production, it falls apart. Agents get stuck in endless ReAct loops, hallucinate tools that don't exist, and rack up massive API bills by using GPT-4o or Claude 3.5 Sonnet just to decide whether an email is spam. Most agent frameworks hand you a loop and some tools. We needed something that actually ships. That’s why we built Synapse AI, an open-source, production-ready orchestration platform for creating, connecting, and running multi-agent workflows that actually do what you designed them to do. What is Synapse AI? Synapse AI is a platform where you can wire agents, tools, and over 14 LLM providers into strict, deterministic pipelines without any vendor lock-in. Instead of writing code to glue agents together, you build directed acyclic graphs (DAGs) using our visual drag-and-drop builder or, better yet, just describe what you want to our AI Builder in plain English, and it maps out the entire orchestration for you! The Problems We’re Solving Non-Deterministic Chaos: Traditional agents hallucinate detours. In Synapse, orchestrations are strict DAGs. Execution follows the exact path you define. No surprises. For simple tasks (fetch this, parse that), you can use "Tool" and "LLM" nodes instead of full agents, giving you zero reasoning overhead and 100% deterministic outputs. Out of Control Costs: Why pay for a flagship model to do basic data routing? With Synapse, you can assign a different model to every single step. Use a fast, free local Ollama model for classification, and switch to an advanced reasoning model only when deep analysis is actually needed. The "Human Block" Problem: Ever had an agent pipeline fail because it needed a human to approve an action? Synapse has built-in Human-in-the-Loop gates. The workflow pauses, sends you a notification (via Slack, Telegram, Discord, Teams), and waits. Even if you restart the server, the run survives and picks up exactly where it left off once you hit "Approve". Tooling Limitations: If you can write it, our agents can use it. Synapse supports any Model Context Protocol (MCP) server natively. Drop in a Python program, an API webhook, or an n8n workflow, and it becomes a sandboxed tool for your agents. How It Works Under the Hood When you start up Synapse, you get a beautiful UI and a powerful backend working in tandem. Built-in Tool Servers: Out of the box, your agents get access to a Docker-isolated Python sandbox (with pandas, numpy, etc.), a persistent Vault for cross-session file storage, a SQL Agent to query databases natively, PDF/Excel parsers, and a stealth web scraper that easily bypasses anti-bot protections to scrape JS-heavy sites. Mix Local & Cloud: Run fully air-gapped using local models via Ollama, or mix them with Anthropic, OpenAI, xAI, Gemini, Bedrock, and even local CLI models that use your existing subscriptions without needing API keys! Orchestrations as Agents: You can build a complex pipeline and then promote it to act as a single agent inside another pipeline. It’s composable AI logic at its best. What People Are Actually Building This isn't for generating simple poems. People are building real workflows: Autonomous PR Creation: An orchestration that picks up a Jira ticket, writes the fix in a sandbox, tests it, creates a PR, and pauses at a Human Gate for your final review before merging. Deep Web Research Pipeline: Agents that navigate the web, extract data from finance sites, summarize it via Python, write a complete markdown report to the local Vault, and email it to the team. Stock Analysis: Pulling portfolio data from an MCP server, using a local model to grab news sentiment, calculating risk in Python, and prompting the user via Telegram for trade approval. Get Started We are fully open-source (AGPL v3) and run entirely on your own machine. No cloud monopolies, no data leaving your laptop unless you explicitly choose to use a cloud provider. You can install it today with a single command: macOS/Linux: curl -sSL https://raw.githubusercontent.com/synapseorch-ai/synapse-ai/main/setup.sh | bash npm: npm install -g synapse-orch-ai && synapse pip: pip install synapse-orch-ai && synapse Check out the repo, give us a star if you like where this is going, and join our Discord to show us what you're building and to give feedback! Let’s build AI workflows that actually ship. Repo: https://github.com/synapseorch-ai/synapse-ai Website: https://synapseorch.com