REMEMBER. SEE.
UNDERSTAND.
AI can think. AI cannot see. AgenticVision fixes that with Cortex web cartography: map sites into queryable graphs, execute web actions without brittle browser loops, and preserve visual state in portable .avis memory. Combined with AgenticMemory (.amem) and AgenticCodebase (.acb), agents retain continuity across what they know, see, and change.
Run Quickstart> curl -fsSL https://agentralabs.tech/install/memory | bashInstalls release binaries when available, otherwise compiles from source; then merges MCP config.
> pip install amem-installer && amem-install install --autoAuto-connects memory to compatible desktop clients.
Local mode keeps .amem, .avis, and .acb as portable files under your control.
Infrastructure built for
persistent intelligence
We build the substrate where AI agents stop operating page by page. AgenticVision maps the web into queryable graphs, AgenticMemory preserves reasoning continuity, and AgenticCodebase compiles repositories into semantic intelligence surfaces.
The stack is MCP-native, artifact-portable, and designed for long-running production workflows: browserless mapping, direct action execution, typed compilation, collective deltas, and temporal memory across sessions.
Explore active components
This open-source lab delivers AgenticMemory, AgenticVision, and AgenticCodebase as interoperable runtime components for persistent reasoning, browserless web intelligence, and semantic code navigation via MCP.
Binary cognitive graph memory where reasoning is traversed, not retrieved from flat text.
AgenticMemory models cognition as events and edges: facts, decisions, inferences, corrections, skills, and episodes linked by causality and supersession in portable .amem files.
Cognitive Atom: The memory unit is the cognitive event, so every session yields typed nodes linked to why they were created and what they changed.
Truth Evolution: Corrections supersede prior beliefs, contradictions remain visible, and causality stays traversable across sessions.
16-Query Brain: Traversal, temporal diffs, impact analysis, reasoning gaps, and belief revision run on graph structure instead of flat retrieval.
Asynchronous Formation: Memory writes happen off the response path, so context quality compounds without increasing interaction latency.
Cortex web cartography for browserless mapping, direct web actions, and persistent visual state.
AgenticVision gives agents web-scale sight: map whole domains into binary graphs, execute actions without clicking, compile typed interfaces, and preserve continuity in portable .avis artifacts.
Web Cartography: Agents map full domains into queryable graphs through HTTP-first extraction rather than page-by-page browser loops.
Direct Actions: The runtime discovers and executes underlying action surfaces for search, form, and transactional workflows.
Three Directions: Web Compiler, Collective Graph, and Temporal Intelligence compound into a persistent web intelligence layer.
Portable Visual Memory: .avis artifacts remain usable across sessions and MCP clients while preserving timeline continuity.
Concept-level code intelligence with impact edges, hidden coupling detection, and code prophecy.
AgenticCodebase compiles repositories into semantic .acb graphs so agents navigate concepts not files, trace FFI boundaries, apply collective library patterns, and predict breakage before refactors ship.
Concept Navigation: Semantic compilation turns repositories into concept graphs so architecture is navigated as intentions, not syntax fragments.
Impact Awareness: Before edits land, agents traverse callers, tests, contracts, and downstream paths to expose breakage risk.
Collective Intelligence: Dependencies arrive with pattern knowledge, common failure signatures, and mitigation behavior from ecosystem use.
Code Prophecy: Temporal drift, hidden coupling, and failure trajectories are modeled so migrations can be staged safely.