Alternatives to desplega-ai/agent-swarm
Explore 5 related skill repositories alongside desplega-ai/agent-swarm.
View desplega-ai/agent-swarmRelated repositories are selected from shared categories, topics and mentions in the same lists. Order follows the export’s relevance signals. These links are independent of sponsorship and do not change the leaderboard.
iflytek/skillhub
Self-hosted, open-source agent skill registry for enterprises. Publish & version skill packages, govern with RBAC and audit logs, deploy on-premise with Docker or Kubernetes.
- GitHub stars
- 5,373
- Star growth over 7 days
- +0.5%
- Heat
- 6.0
- Before you install
- Network or broad shell
- Median activation tokens (estimate)
- 1,342.5 tokens
- Project activity
- Active
- License
- Apache-2.0
- Supported agents
- Codex, Gemini CLI
Q00/ouroboros
Agent OS: the agent gets smarter on its own. We just hold the line: Interview-gated, staged evaluation, budgeted evolution loop. MCP server, 14 runtimes: Claude Code, Codex CLI, Gemini CLI, OpenCode, Copilot, Kiro and more.
- GitHub stars
- 6,329
- Star growth over 7 days
- +0.6%
- Heat
- 6.4
- Before you install
- Network or broad shell
- Median activation tokens (estimate)
- 1,513.5 tokens
- Project activity
- Active
- License
- MIT
- Supported agents
- Claude Code, Codex
fengshao1227/ccg-workflow
多模型协作工作流引擎 — /ccg:go 一个命令，AI 自动分析意图、选择策略、编排 Codex + Gemini + Claude 协作执行
- GitHub stars
- 5,978
- Star growth over 7 days
- +0.4%
- Heat
- 5.5
- Before you install
- Network or broad shell
- Median activation tokens (estimate)
- 1,208 tokens
- Project activity
- Active
- License
- MIT
- Supported agents
- Claude Code, Codex
Forward-Future/loopy
A library of practical AI-agent loops and an installable skill for finding, adapting, and designing repeatable agent workflows.
- GitHub stars
- 3,229
- Star growth over 7 days
- +0.4%
- Heat
- 4.4
- Before you install
- Local scripts
- Median activation tokens (estimate)
- 3,370.5 tokens
- Project activity
- Active
- License
- MIT
- Supported agents
- Codex
DenisSergeevitch/agents-best-practices
Use this skill when designing, generating an MVP blueprint for, auditing, troubleshooting, refactoring, or explaining an agentic harness for any domain. Covers provider-neutral agent architecture for OpenAI, Anthropic, and OpenAI-compatible APIs: agent loops, tool design, record provenance, interact
- GitHub stars
- 2,422
- Star growth over 7 days
- +0.6%
- Heat
- 6.0
- Before you install
- Local scripts
- Median activation tokens (estimate)
- 6,520 tokens
- Project activity
- Active
- License
- MIT
- Supported agents
- Not available
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