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Spectron
Agent memory on ACID: graph, vectors, docs & rows in one transaction. Built for provenance and hybrid retrieval.
Overview
Spectron is a next-generation agent memory system built on a single ACID substrate. Unlike traditional approaches that stitch together separate stores for graphs, vectors, documents, and structured rows, Spectron unifies all four data models in one transactional engine. Every fact carries explicit provenance information, and corrections take effect as superseding facts rather than destructive overwrites. This design ensures full auditability and temporal consistency.
Hybrid retrieval seamlessly fuses vector similarity, graph traversal, BM25, and keyword search into a single query. Retrieval traces are fed back into the ranking model, continuously improving relevance. Spectron supports tri-temporal facts (valid time, transaction time, and assertion time), multi-tenant isolation, and the Model Context Protocol (MCP) for seamless integration with AI agents.
Key Features
Single ACID transaction across graph
vector
document
and structured row stores
Built-in provenance tracking for every fact
Corrections supersede older facts without destructive overwrites
Hybrid retrieval combining vector
graph
BM25
and keyword search
Tri-temporal facts (valid
transaction
and assertion time)
Multi-tenant isolation with per-tenant schemas
Model Context Protocol (MCP) support for AI agent integration
Self-improving ranking via retrieval trace feedback
No need for separate sync pipelines or ETL
Full consistency and integrity guarantees
Pros & Cons
Pros
- arrow_right + Unified data models in one transactional store
- arrow_right + Full provenance and temporal awareness
- arrow_right + Hybrid retrieval with self-improving ranking
- arrow_right + No data sync pipelines needed
- arrow_right + ACID guarantees for agent memory workloads
Cons
- arrow_right - Pricing not transparent; likely enterprise-only
- arrow_right - May have a steeper learning curve due to unified model
- arrow_right - Limited community resources compared to specialized databases
- arrow_right - Not optimized for extremely high-throughput OLTP workloads
Pricing Details
Pricing is not publicly available. Spectron is typically offered as an enterprise solution. Contact the team for a custom quote based on scale, deployment (cloud or on-premises), and support requirements.
FAQ
What makes Spectron different from other vector databases?
expand_moreSpectron is not just a vector database; it unifies graph
vector
expand_moredocument
and structured row models in one ACID transaction
expand_morewith built-in provenance and temporal facts.
How does Spectron handle data consistency?
expand_moreAll operations are ACID-compliant. Corrections create new superseding facts instead of overwriting
preserving history.
expand_moreNo answer provided.
Can I use Spectron with existing AI frameworks?
expand_moreYes
Spectron supports the Model Context Protocol (MCP) and provides SDKs for popular frameworks.
expand_moreNo answer provided.
Is Spectron suitable for multi-tenant applications?
expand_moreAbsolutely. Spectron offers native multi-tenant scopes with isolated schemas and access control.
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Host Your SaaS on Antigravity Cloud
Fast, secure, and developer-friendly hosting for modern web applications.
Smart Alternatives & Comparison
Compare Spectron side-by-side with other leading tools in the same category.
| Criteria |
Spectron
This Tool
|
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|---|---|---|
| Overview | Agent memory on ACID: graph, vectors, docs & rows in one transaction. Built for provenance and hybrid retrieval. | Agent memory on ACID: graph, vectors, docs & rows in one transaction. Built for provenance and hybrid retrieval. |
| Pricing Model | Freemium | Freemium |
| Community Rating |
star
0.0
(0)
|
star
0.0
(0)
|
| Developer API | cancel Not Available | cancel Not Available |
| Open Source | lock Proprietary | lock Proprietary |
| Action | Visit Web open_in_new |