Alternatives to UnicomAI/wanwu
Explore 5 related skill repositories alongside UnicomAI/wanwu.
View UnicomAI/wanwuRelated 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.
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
- 5,979
- Star growth over 7 days
- +0.4%
- Heat
- 5.4
- Before you install
- Network or broad shell
- Median activation tokens (estimate)
- 1,208 tokens
- Project activity
- Active
- License
- MIT
- Supported agents
- Claude Code, Codex
NousResearch/hermes-agent
The agent that grows with you
- GitHub stars
- 261,046
- Star growth over 7 days
- +0.8%
- Heat
- 7.2
- Before you install
- Network or broad shell
- Median activation tokens (estimate)
- 2,401 tokens
- Project activity
- Active
- License
- MIT
- Supported agents
- Codex
mem0ai/mem0
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
- GitHub stars
- 68,507
- Star growth over 7 days
- +0.6%
- Heat
- 6.4
- Before you install
- Network or broad shell
- Median activation tokens (estimate)
- 339 tokens
- Project activity
- Active
- License
- Apache-2.0
- Supported agents
- Claude Code, Codex
MemPalace/mempalace
The best-benchmarked open-source AI memory system. And it's free.
- GitHub stars
- 60,432
- Star growth over 7 days
- +0.5%
- Heat
- 6.4
- Before you install
- Network or broad shell
- Median activation tokens (estimate)
- 1,334 tokens
- Project activity
- Active
- License
- MIT
- Supported agents
- Claude Code, Codex
HKUDS/Vibe-Trading
"Vibe-Trading: Your Personal Trading Agent"
- GitHub stars
- 37,762
- Star growth over 7 days
- +1.4%
- Heat
- 7.6
- Before you install
- Network or broad shell
- Median activation tokens (estimate)
- 2,580 tokens
- Project activity
- Active
- License
- MIT
- Supported agents
- Not available
Token cost is the median frontmatter plus SKILL.md estimate per skill. Reference files load on demand and scripts run separately. The estimate is unavailable when skill records or token counts are incomplete. Missing growth or heat history stays unmeasured, never zero.
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