🧵 Everyone's building AI agents wrong. Here's why:
1/ The "God Agent" problem
Most teams build one massive agent that does everything. This always fails. Why? Context limits. Hallucinations. Debugging nightmares.
2/ The solution: Specialized agents
Instead of one agent, build many. Each with a single responsibility. An orchestrator coordinates them.
3/ Why this works
- Smaller context = fewer hallucinations
- Easier to test and debug
- Can swap out individual agents
- Better observability
4/ The key insight
Agents aren't programs. They're more like microservices. Design them that way.
5/ What we're building
At @tyingshoelaces, we're creating an open-source agent mesh. Multiple specialized agents. Unified orchestration. Full observability.
6/ The stack
- MCP for tool integration
- A2A protocol for agent communication
- Rust for performance
- PostgreSQL for state
7/ Early results
- 10x faster iteration
- 90% fewer context-related errors
- Agents can be updated independently
Want to learn more? Check out tyingshoelaces.com
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