scorpio de773586c7 feat: implement full agent-team platform
Go backend:
- LLM client with DeepSeek/Kimi/Ollama/OpenAI support (OpenAI-compat)
- Agent loader: AGENT.md frontmatter, SOUL.md, memory read/write
- Skill system following agentskills.io standard
- Room orchestration: master assign→execute→review loop with streaming
- Hub: GitHub repo clone and team package install
- Echo HTTP server with WebSocket and full REST API

React frontend:
- Discord-style 3-panel layout with Tailwind v4
- Zustand store with WebSocket streaming message handling
- Chat view: streaming messages, role styles, right panel, drawer buttons
- Agent MD editor with Monaco Editor (AGENT.md + SOUL.md)
- Market page for GitHub team install/publish

Docs:
- plan.md with full progress tracking and next steps

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-04 21:57:46 +08:00

31 lines
589 B
Go

package main
import (
"log"
"os"
"github.com/sdaduanbilei/agent-team/internal/api"
)
func main() {
agentsDir := env("AGENTS_DIR", "agents")
skillsDir := env("SKILLS_DIR", "skills")
roomsDir := env("ROOMS_DIR", "rooms")
addr := env("ADDR", ":8080")
for _, dir := range []string{agentsDir, skillsDir, roomsDir} {
os.MkdirAll(dir, 0755)
}
s := api.New(agentsDir, skillsDir, roomsDir)
log.Printf("agent-team server starting on %s", addr)
log.Fatal(s.Start(addr))
}
func env(key, fallback string) string {
if v := os.Getenv(key); v != "" {
return v
}
return fallback
}