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main.py
1import openai
2from openai import OpenAI
3
4client = OpenAI()
5
6def generate_greeting(name: str) -> str:
7 """Generate an AI greeting."""
8 response = client.chat.completions.create(
9 model="gpt-4",
10 messages=[{
11 "role": "user",
12 "content": f"Say hello to {name}!"
13 }]
14 )
15 return response.choices[0].message.content
16
17print(generate_greeting("World"))
Terminal
> Ready to run...
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AgentForge lets anyone create complex AI agent pipelines without writing code. Connect LLM calls, tool invocations, memory systems, and decision trees through an intuitive visual builder. Export as standalone apps or API endpoints. Already powering 2,000+ agent deployments across startups and enterprises.
AgentsNo-CodeAutomationWorkflow
✨MAX EVOLUTION
MythGrowth Radar
PLY100
SHR71
RMX100
UPV100
RET93
AI89.8
Hero Stats
Architect
Lv50
Pow76
Res100
Cha100
Wis94
Agi12
Sta66
Skill Tree
Tier 1
BlueprintLv 1
Blueprint
Structured architecture foundations
+10% Wisdom
PipelineLv 3
Pipeline
Efficient data flow patterns
+10% Agility
OrchestrateLv 5
Orchestrate
Multi-agent coordination
+15% Power
Tier 2
Sentinel CoreLv 8
Sentinel Core
Self-healing error recovery
+20% Stability
Swarm LogicLv 12
Swarm Logic
Distributed decision making
+20% Power
Tier 3
SingularityLv 20
Singularity
Autonomous system evolution
+30% All Stats
AI Analysis
BetaOriginality82
Clarity95
U X Potential93
Virality Potential88
Investor Curiosity91
Strengths
- Visual builder dramatically lowers barrier to entry
- Export-as-API is a killer feature for developers
- Strong community traction already
Weaknesses
- Crowded agent-builder space
- Debugging complex flows could be challenging
Suggestions
- Add agent marketplace for sharing templates
- Implement real-time collaboration
- Show cost estimation per agent run
AI-assisted evaluation. Not a prediction.