Project Capacity Explorer
Click each project to inspect its real capacity surface. This page is intentionally capability-first: what the engine can do, how it behaves, and how it maps to practical agent outcomes.
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AgenticMemory
Persistent cognitive graph memory for cross-session reasoning continuity.
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16 query capacities
Portable artifact: .amem
Memory Is Not Search
Most systems treat memory as retrieval over flattened text chunks. AgenticMemory treats memory as graph cognition: nodes for what the agent learned or decided, edges for why those events connect, and traversal for reasoning history.
The Atom: Cognitive Event
The smallest memory unit is a cognitive event, not a transcript chunk: FACT, DECISION, INFERENCE, CORRECTION, SKILL, and EPISODE. Each event is written with confidence, timestamps, access dynamics, feature vectors, and direct edge references for O(1) node access.
Edges Make It A Brain
Relationship edges encode causality and truth evolution: CAUSED_BY, SUPPORTS, CONTRADICTS, SUPERSEDES, RELATED_TO, PART_OF, TEMPORAL_NEXT. This preserves why decisions happened and what changed over time.
One File, Memory-Mappable
`.amem` is a binary graph file with header, node table, edge table, content block, vectors, and indexes. It is memory-mappable, portable, and query-ready without external databases or managed vector services.
The Full Query Engine
Querying is navigation, not blind similarity. The engine supports traversal, temporal diffing, causal impact, contradiction resolution, pattern recall, and structural gap detection.
Memory Formation Pipeline
After each interaction the system extracts events, links them to existing cognition, updates confidence and decay, writes an EPISODE compression node, and incrementally refreshes indexes. Memory formation runs asynchronously so response latency remains stable.
Portable Agent Brain
Your `.amem` travels across agents and environments. Knowledge continuity belongs to you, not to a single assistant vendor. Any compatible runtime can mount the same cognitive history with causal context intact.
Open to partnerships, sponsorships, and research collaborations across AI, ML, and agent systems, including persistent memory, visual continuity, and semantic code intelligence.