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Tools/Agency Swarm vs DSPy
Agency Swarm

Agency Swarm

framework
vs
DSPy

DSPy

framework

Agency Swarm vs DSPy — Comparison

Overview
What each tool does and who it's for

Agency Swarm

Reliable Multi-Agent Orchestration Framework. Contribute to VRSEN/agency-swarm development by creating an account on GitHub.

This framework continues the original vision of Arsenii Shatokhin (aka VRSEN) to simplify the creation of AI agencies by thinking about automation in terms of real-world organizational structures, making it intuitive for both agents and users. If you hit environment issues, see the Installation guide. or convert from OpenAPI schemas: In Agency Swarm, communication flows are directional. The operator defines allowed initiations (left can initiate a chat with right). On first run, Agency Swarm sets up the terminal app automatically, shows a short setup message, and reuses it on later runs. See the terminal workflow guide: https://agency-swarm.ai/core-framework/agencies/agent-swarm-cli Need sync? agency.get_response_sync(...) exists, but async is recommended. Recommended agent folder structure: This structure ensures that each agent has its dedicated space with all necessary files to start working on its specific tasks. The tools.py can be customized to include tools and functionalities specific to the agent's role. For details on how to contribute to Agency Swarm, please refer to the Contributing Guide. Agency Swarm is open-source and licensed under MIT. Reliable Multi-Agent Orchestration Framework There was an error while loading. Please reload this page. There was an error while loading. Please reload this page. There was an error while loading. Please reload this page. There was an error while loading. Please reload this page.

DSPy

The framework for programming—rather than prompting—language models.

I don't see any actual review content or social media mentions in your message - the sections appear to be empty except for a single Hacker News thread title. Based on just that title "If DSPy is so great, why isn't anyone using it?", it suggests there may be skepticism about DSPy's adoption despite its purported capabilities. To provide a meaningful summary of user sentiment, I would need the actual review content and social media discussions you'd like me to analyze.

Key Metrics
—
Avg Rating
—
0
Mentions (30d)
1
4,130
GitHub Stars
33,311
1,008
GitHub Forks
2,742
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

Agency Swarm

0% positive100% neutral0% negative

DSPy

0% positive100% neutral0% negative
Pricing

Agency Swarm

subscription + tiered

DSPy

tiered

Pricing found: $2

Use Cases
When to use each tool

Agency Swarm (2)

InstallationSet Your OpenAI Key
Features

Only in Agency Swarm (10)

Key FeaturesCompatibilityFolder StructureResourcesLicenseContributingUh oh!StarsWatchersForks
Developer Ecosystem
32
GitHub Repos
53
648
GitHub Followers
2,504
1
npm Packages
7
6
HuggingFace Models
23
—
SO Reputation
—
Product Screenshots

Agency Swarm

Agency Swarm screenshot 1

DSPy

DSPy screenshot 1
Company Intel
information technology & services
Industry
—
6,000
Employees
—
$7.9B
Funding
—
Other
Stage
—
Supported Languages & Categories

Agency Swarm

AI/MLFinTechDevOpsSecurityDeveloper Tools

DSPy

AI/MLFinTechDevOpsDeveloper Tools
View Agency Swarm Profile View DSPy Profile