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Glossary

Key terms used across Agentra Labs documentation and sister projects.

Key terms used across Agentra Labs projects.

General

MCP (Model Context Protocol) — An open standard that lets AI applications discover and call tools exposed by external servers. All Agentra sisters expose their capabilities as MCP tools.

Sister — One of the three Agentra runtime components: AgenticMemory, AgenticVision, or AgenticCodebase. Each sister runs as an independent MCP server and produces its own artifact.

Artifact — A portable binary file produced by a sister. Artifacts store all state and can be moved between machines. Formats: .amem (memory), .avis (vision), .acb (codebase).

Workspace — The parent directory containing the web repo and all sister repos. The docs sync script reads from this workspace to build the documentation site.

Runtime mode — How a sister is deployed: local (single machine), desktop (MCP client like Claude Desktop), or server (remote host with auth and artifact sync).

Budget policy — Automatic storage management that prunes low-value data from completed sessions when the artifact approaches a size limit.

AgenticMemory

Brain — The .amem artifact file. Contains all cognitive events, edges, embeddings, sessions, and episode summaries for one agent.

Cognitive event — The atomic unit of memory. Each event has a type (fact, decision, inference, correction, skill, episode), content, confidence score, and timestamp.

Edge type — A typed relationship between two memory nodes: caused_by, derived_from, supports, contradicts, supersedes, related_to, part_of, temporal_next.

Supersedes chain — When a correction replaces a prior belief, the old node is linked via a supersedes edge. Resolving a node follows this chain to the latest version.

Session — A bounded interaction period. Sessions group cognitive events and can be summarized into episode nodes on close.

Auto-capture — Automatic recording of prompts and feedback into memory nodes. Modes: safe (templates and explicit feedback), full (broader tool input), off.

AgenticVision

Capture — A single image stored in visual memory with its CLIP embedding, metadata, quality score, and optional OCR text.

CLIP embedding — A 512-dimensional vector (ViT-B/32) computed for each captured image. Used for similarity search and visual comparison.

Quality score — A 0.0-1.0 rating computed from resolution, embedding confidence, metadata completeness, and OCR yield.

.avis — The AgenticVision artifact file. Stores captures, embeddings, sessions, and tracking configuration in LZ4-compressed binary format.

Vision link — A typed connection between a visual capture and an AgenticMemory node. Relationship types: observed_during, evidence_for, screenshot_of.

Region tracking — Monitoring a defined screen area for visual changes. Captures are stored when the similarity score drops below a threshold.

Visual diff — Pixel-level comparison between two captures. Returns changed pixel count, change percentage, and bounding boxes of changed regions.

AgenticCodebase

Code unit — The atomic element in a code graph: a module, function, type, import, test, parameter, or other structural element.

Code edge — A typed relationship between code units: calls, imports, inherits, implements, depends_on, tests, contains.

.acb — The AgenticCodebase artifact file. A compiled code graph with symbols, edges, embeddings, and structural metadata.

Impact analysis — Traversing the code graph from a changed unit outward to find all affected callers, tests, and downstream dependencies.

Stability score — A measure of how likely a code unit is to change based on coupling, fan-out, and historical patterns.

Hidden coupling — Indirect dependencies between code units that are not visible from direct imports or calls but emerge from graph traversal.

Gate check — A pre-merge safety check that evaluates risk score, test coverage, and coupling for a proposed change.

Collective intelligence — Ecosystem-level pattern knowledge attached to dependencies, including common failure signatures and mitigation strategies.