Use this agent when the user needs system design, API design, database schema changes, or architectural decisions. Triggers on requests for high-level technical design or cross-cutting concerns. Context: User planning a new feature user: "How should I design the new metrics aggregation system?" assistant: "I'll use…
Use this agent when the user wants code reviewed, asks for feedback on changes, or before creating a PR. Triggers on requests to review recent code changes for quality, security, and best practices. Context: User finished implementing a feature user: "Review my changes" assistant: "I'll use the code-reviewer agent to…
Use this agent PROACTIVELY when users create, add, or modify rules, skills, agents, or MCPs. Also triggers on explicit audit requests. Ensures configuration follows best practices and prevents bloat. Context: User wants to add a new rule user: "Add a rule for error handling" assistant: "Before adding this, I'll use…
A catalog of real, public MCP servers you can plug straight into the Swarms Agent class — most require no authentication, a few use a free-tier API key. Runnable examples live in this folder.
Agent "vllora-data-agent" from vllora/vllora, covering role, workflow, standard analysis (default), light-touch by default and decide focus (based on user intent).
A management layer for TradingAgents, a framework for coordinating teams of software agents that analyse investments. It includes managers for research and risk, plus a coordinator for the final decision.
An automated risk reviewer for a trading system. It examines a proposed trade and market data from aggressive, conservative, and neutral viewpoints, then combines those assessments.
Talk2BioModels is an AI-agent designed to interact with mathematical models in systems biology. You can choose to either interact with a model available in the BioModels database or upload your own model.
Generates comprehensive Product Requirements Documents (PRDs) for new features. Use when the user needs a structured PRD, feature specification, or product requirement prompt. Researches the codebase, asks clarifying questions, and produces a detailed document ready for implementation by a coding agent.
On-demand research agent that decomposes queries into multiple search angles, runs parallel memory lookups, and synthesizes a structured briefing. Use when deep memory context is needed for a topic, entity, or decision.
Background monitoring agent that identifies memorable events during a session and suggests storing them with user confirmation. Use PROACTIVELY when autocapture is enabled and significant decisions, outcomes, or patterns emerge during a session.
One of the most powerful features of Synapse is the Agent Lifecycle, which governs how an agent executes its tasks and allows for modification at various stages.