Spectron.

Spectron

Spectron is the persistent, queryable memory layer for AI agents that you can actually trust. Built on SurrealDB's multi-model foundation, it unifies documents, graphs, vectors, and structured records in one ACID transaction—eliminating the consistency gaps and black-box retrieval that plague stitched-together memory middleware.

Product Highlights

• ACID-Transactional Memory: Graph, vector, document, and structured records commit atomically in one transaction—no cross-store stitching, no silent data loss
• Supersession-Based Updates: Facts are never overwritten; they are superseded with full provenance preserved, so agents always know what changed and when
• Eight-Signal Hybrid Retrieval: Combines embeddings, BM25, graph traversal, keyword bridges, PageRank, geographic recall, and trace-derived features into one auditable ranking
• Tri-Temporal Tracking: System time, known time, and valid time are stored separately—answer "what did we believe then?" not just "what do we believe now?"
• MCP-Native Integration: Built-in Model Context Protocol server connects directly to Cursor, Claude Desktop, and Claude Code with zero configuration

Use Cases

• Conversational AI Agents: Long-running assistants that remember user preferences, past decisions, and evolving context across months of interaction
• Enterprise Knowledge Systems: Grounded retrieval from authoritative documents with full citation chains and uncertainty handling for compliance-critical domains
• Multi-Agent Collaboration: Shared, reconcilable memory across agent fleets with scope isolation, corroboration thresholds, and collective belief crystallization
• Autonomous Decision Systems: Self-improving memory through reflection, elaboration, and consolidation that deepens understanding between interactions

Target Audience

Spectron serves AI engineers and platform teams building production-grade agent systems where memory failures are unacceptable—particularly in regulated industries like finance, healthcare, and defense where provenance, auditability, and temporal accuracy are non-negotiable.