01 — Multi-Agent Orchestration
Coordinate specialist agents through explicit ownership, shared contracts, and bounded execution so a business task produces one accountable result.
Agentic Frameworks & Coordination
From a single decision to a coordinated team. Design how agents plan, delegate, remember, and act.
How should intelligence work together?
- Give every agent a clear task contract.
- Keep orchestration observable and bounded.
- Prefer predictable workflows until autonomy adds value.
02 — Directed Acyclic Graphs (DAGs)
Represent bounded agent work as explicit dependencies, enabling reproducible scheduling, parallel branches, and precise restart boundaries.
03 — Agentic State Machines
Make agent progress an explicit set of states, guarded transitions, and durable events so every action has a permitted execution context.
04 — Hierarchical Orchestration
Delegate through supervisory layers that preserve domain ownership, limit context, and return evidence-rich results to a single accountable decision maker.
05 — Dynamic Routing
Select the appropriate agent or workflow from request intent, capability, authorization, and uncertainty while keeping routing decisions observable and reversible.
06 — Asynchronous Agent Execution
Move long-running agent work into durable jobs with explicit acceptance, progress, cancellation, and completion semantics.
07 — Agent Inter-communication (A2A)
Interoperate across independently operated agents through explicit capability discovery, task lifecycle contracts, authenticated messages, and verifiable artifacts.
08 — Plan-and-Execute Pattern
Separate deliberate task planning from controlled execution, validating dependencies and revising only the parts invalidated by new evidence.
09 — ReAct Framework (Reasoning + Acting)
Alternate bounded action proposals with tool observations, allowing an agent to adapt its next step while application code controls authority and termination.
10 — Reflection Loops
Use explicit critique and revision cycles to improve a draft against measurable criteria, while avoiding unsupported confidence from repeated self-assessment.
11 — Tool Invocation & Function Calling
Convert model-proposed operations into validated, authorized tool calls with stable schemas and explicit treatment of side effects.
12 — State Persistence
Persist the minimum authoritative execution state needed to recover an agent run, maintain concurrency safety, and explain completed work.
13 — Sub-Goal Generation
Decompose broad objectives into bounded sub-goals with explicit dependencies, measurable completion criteria, and a controlled expansion budget.
14 — Token-Aware Routing
Route work according to estimated context and output demand while preserving capability, evidence quality, and a hard task-level token budget.
15 — Event-Driven Agent Triggers
Start bounded agent work from meaningful business events using durable publication, deduplicated consumption, and explicit event-to-task ownership.
16 — Task Interruption & Resumption
Pause a durable execution at a defined boundary and resume it with validated input, current authority, and reconciled external effects.
17 — Agent Lifespan Management
Control how agent instances are created, leased, reused, drained, and retired so long-running work does not accumulate abandoned resources or authority.
18 — Semantic Condition Checking
Evaluate meaning-dependent workflow conditions through evidence-backed classification while keeping hard business predicates deterministic and reviewable.
19 — Context Condensation
Compress accumulated context into a versioned working summary that preserves commitments, evidence pointers, unresolved questions, and recovery-critical facts.
20 — Deterministic Output Stripping
Extract and validate an explicit public output contract so model responses cannot leak internal fields, malformed wrappers, or unintended executable content.