Control Plane Thesis
yggdrasil is most useful when your agent system changes over time.
That means:
- tools change
- context changes
- routing changes
- policies change
- workflow steps change
- operators need to understand why the system behaved a certain way
The Core Idea
Most agent frameworks treat orchestration as application code.
yggdrasil treats orchestration as a graph that can be:
- stored
- versioned
- explained
- inspected after execution
That makes it a better fit for agent systems that behave more like operational systems than prompt demos.
Why This Matters
If the agent system changes over time, teams need answers to questions like:
- which tools did this agent have at runtime?
- why was this context selected?
- what route caused this request to move to another agent?
- what changed between last week and this week?
- which graph edit changed behavior?
yggdrasil is built to make those questions answerable.
What Makes The Project Different
1. The graph is the control surface
Agents, tools, prompts, context, approvals, and runtime artifacts can live in the same graph model.
2. Runtime composition is explainable
The system can explain:
- which tools were attached
- which context was selected
- what ranked higher or lower
- which route fired
3. Change is part of the product
Graph versioning, checkpoints, and structured traces are not side features. They are part of managing an evolving agent system safely.
4. Observability is tied to control-plane questions
Tracing is useful not only for debugging latency or failures, but for answering:
- why did the system behave this way?
- what composition was active?
- what changed?
Best-Fit Use Cases
- internal copilots with changing policies and capabilities
- approval-heavy enterprise workflows
- multi-agent systems with tenant- or role-specific behavior
- operational agent systems that require review, migration, and explainability