swarms-tools and swarms-client

These are ecosystem siblings where swarms-tools provides the functional building blocks (pre-built tools and MCP servers) that agents created through the swarms-client API would integrate and utilize.

swarms-tools
65
Established
swarms-client
42
Emerging
Maintenance 10/25
Adoption 13/25
Maturity 25/25
Community 17/25
Maintenance 13/25
Adoption 4/25
Maturity 9/25
Community 16/25
Stars: 38
Forks: 9
Downloads: 239
Commits (30d): 0
Language: Python
License: MIT
Stars: 8
Forks: 6
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
No risk flags
No Package No Dependents

About swarms-tools

The-Swarm-Corporation/swarms-tools

Swarms Tools provides a vast array of pre-built tools for your agents, MCP servers, and multi-agent systems.

Based on the README, here's a technical summary: Organizes domain-specific tools (finance APIs like HTX and CoinGecko, social media integrations, web scraping, code execution) with standardized schemas and type hints for seamless agent integration. The `tool_chainer` framework enables sequential or parallel orchestration of multiple tools, with performance optimized through async HTTP via `httpx` and fast JSON serialization with `orjson`. Designed as a plugin ecosystem for the Swarms multi-agent orchestration platform, supporting MCP servers with enterprise security patterns for API key management.

About swarms-client

The-Swarm-Corporation/swarms-client

A production-grade Python client for the Swarms API, providing a simple and intuitive interface for creating and managing AI swarms.

Provides both synchronous and asynchronous HTTP clients via httpx and optional aiohttp backend, with full type safety through TypedDict request parameters and Pydantic response models. Supports orchestrating multi-agent workflows using configurable swarm types (e.g., ConcurrentWorkflow) where agents with different models and system prompts collaborate on tasks. Includes helper methods for model discovery, health checks, rate limit monitoring, and automatic retry logic with exponential backoff for transient failures.

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