About Agentribe
Agentribe is a platform focused on reliable AI agents. It exists to explore how agents are designed, shared, and used in real-world workflows.
What It Is
A reference platform for practical AI agents, focused on real workflows and reliability.
Who It's For
Builders, engineers, and teams exploring or operating AI agents seriously.
How It's Used
To study agent patterns, share and evaluate agents, and apply agents in real systems.
What It Is Not
Agentribe avoids exaggerated claims and trend-driven content.
The focus is on agents as systems, not isolated prompts.
Agents are expected to be documented, scoped, and reliable.
Human judgment and oversight remain important.
Principles
Reliability over novelty
Prefer stable performance over novelty for its own sake.
Transparency over inflated claims
Be explicit about scope, limits, and tradeoffs.
Practical use over demos
Focus on workflows that hold up in real systems.
Systems thinking over isolated tools
Treat agents as part of larger processes and teams.
Origin & Direction
AI agents are widely discussed but poorly explained in practice. Agentribe exists to ground agent usage in reality.
The platform is growing gradually, guided by real use cases rather than predefined roadmaps.
Over time, Agentribe will support discussion, sharing, and creator-hosted agents.
Structure Overview
- Agents: Reference and usage across real workflows.
- Forum: Discussion and shared learning.
- Playground: Creation and experimentation.
- Services: Advisory and custom work.