Quick lookup for the abbreviations and TnsAI-specific terms that appear in the rest of the documentation. Linked terms go to the page that explains the concept in depth.

Term	Definition
Action	A unit of work an agent can execute. Declared via `@ActionSpec` on a role method.
Agent	Long-lived object that runs a BDI loop — perceives input, plans intentions, executes actions.
BDI	Belief–Desire–Intention. The mental model TnsAI agents are built around.
Capability	A reusable contract (interface with default-method actions) a role can implement.
Channel	Adapter for an external messaging platform — Telegram, Slack, CLI, Email, etc.
FSM	Finite State Machine. The agent lifecycle (`CREATED → STARTING → RUNNING → STOPPING → STOPPED` + `FAILED`) is one.
Gaia	Multi-agent methodology that frames a system as roles, environment, and relationships. TnsAI's coordination module borrows from it.
GOAP	Goal-Oriented Action Planning. One of the planners under `tnsai-intelligence`.
HTN	Hierarchical Task Network — the other built-in planning style.
KB / Knowledge Base	Vector + BM25-indexed corpus that backs `@KnowledgeSource` / `@Retrieval`.
LAM	Language-Action Model — the pattern that maps LLM output to typed action calls. See LAM pattern.
MCP	Model Context Protocol. Lets agents expose tools to (or consume tools from) MCP-compatible peers.
RAG	Retrieval-Augmented Generation.
ReAct	Reasoning-and-Acting pattern: interleave LLM "thought" steps with tool calls.
Role	Bundle of capabilities and actions an agent plays.
SCOP	A separate Java multi-agent framework — see scop-framework.netlify.app. TnsAI ships an integration bridge.
SPI	Service Provider Interface — Java's `ServiceLoader` discovery pattern, the framework's main extensibility seam.
ToT	Tree of Thoughts — branching reasoning pattern that explores multiple lines before committing.

Glossary