synapse-ai
Synapse reduces friction in building multi-agent systems by handling orchestration and LLM abstraction, letting teams ship agentic workflows without building…
Build AI agents that actually do things. Synapse is an open-source platform for creating, connecting, and orchestrating AI agents powered by any LLM — local, cloud or CLIs.
- Orchestrate agents for multi-step data pipelines and ETL
- Build autonomous customer support workflows with tool integration
- Chain agents for code review and deployment automation
Synapse reduces friction in building multi-agent systems by handling orchestration and LLM abstraction, letting teams ship agentic workflows without building infrastructure from scratch.
Teams building autonomous workflows that need agents to coordinate tasks across multiple LLMs, APIs, or CLI tools.
https://github.com/synapseorch-ai/synapse-ai
By naveenraj-17
How to Get It
npm install -g synapse-orch-ai synapse (or: pip install synapse-orch-ai; or the setup script: curl -sSL https://raw.githubusercontent.com/synapseorch-ai/synapse-ai/main/setup.sh | bash; or Docker: docker run -d -p 3000:3000 -v synapse-data:/data synapseorchai/synapse-ai:latest). Then open http://localhost:3000.
After installing, paste this into Claude:
Help me orchestrate agents for multi-step data pipelines and ETL
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- The Alberta Utilities Commission rejected and closed the application from Synaps — Reddit · 216 pts
- Razer synapse 4 using horrendous ai image — Reddit · 123 pts
- guys what happened to synapse? what are all these ai generated sounding executor — Reddit · 36 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 198 GitHub stars; contributors unknown; last commit 7d ago; license AGPL-3.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 198 GitHub stars; contributors unknown; last commit 7d ago; license AGPL-3.0.