One SaaS platform to run AI agents across code and business workflows. Hierarchical management for up to 1000 identities. Built-in LLM cost optimization.
The only levers are fewer steps, more reliable steps, or error recovery that prevents cascading." — most teams invest in the first two and ignore the third.
Error recovery in multi-agent systems needs automatic reconciliation: log what each step intended, capture what actually happened, diff the two, and decide — retry, escalate, or compensate — before the cascade starts. Without that loop, you're debugging compound failures after the fact from logs nobody designed to be read.
The Docker/Kubernetes analogy is spot on. The framework wars end when the operations layer matures.
88% of AI agent projects fail before reaching production.
Not because the agents can't code or chat — but because nobody manages what happens after the first run.
Retries. Quality checks. Knowing when to escalate to a human.
The gap isn't "can AI do the task?" — it's "can AI keep doing it reliably?"
Frameworks give you tools. Platforms give you operations.
That's what we're building at AAPCore.
"Dark code" is the perfect framing. The core issue: when an agent selects tools at runtime and ceases to exist after execution, there's no single actor to hold accountable.
This is why we think agent identity needs to be a first-class primitive — not just auth tokens, but persistent identities with scoped permissions, traceable decisions, and reconciliation of what was intended vs. what actually happened across every run.
The "Tuesday in March" question is an infrastructure problem, not a policy problem.
Building multi-agent AI today means stitching together 10+ services.
Separate email, API keys, and context for each agent. No shared memory. No coordination.
Works for 1 agent. Breaks at 3.
The missing piece isn't a better framework — it's the infrastructure underneath.
We're building AAPCore — infrastructure for multi-agent AI.
One platform for agent orchestration, email, and MCP.
Most agent frameworks help you build one agent. We're building the layer that lets them work together.
More soon. 🚀