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synapse-ai

Skill Development Poor

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.

198 starsAGPL-3.0 (check with legal)FreeQuick setup
Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

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.

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https://github.com/naveenraj-17/synapse-ai

By naveenraj-17

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install naveenraj-17/synapse-ai

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars198Last updated2026-05-27LicenseAGPL-3.0 (check with legal)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-06-03 · scanner v1

Community Pulse Active

Discussed on Hacker News, Reddit

26 mentions across 2 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

  • License (AGPL-3.0) may restrict commercial use. Check with your legal team.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
1/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score2.30 / 5.00 PoorEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 198 GitHub stars; contributors unknown; last commit 7d ago; license AGPL-3.0.

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