The memory and context layer for AI agents. Persistent, structured recall — retrieval, profiles, connectors, and extractors — served from one graph through a single API that works with any model, in under 300 milliseconds.
An agent's memory should not be assembled from a dozen disconnected systems. Gluatech unifies it into one layer, reached through one API.
The platform is built from a set of focused components. Each is independently useful and fully composable — together they give any agent long-term memory and contextual understanding, without forcing you to stitch a vector store, a search stack, a profile service, and a pile of ingestion scripts into something that resembles memory.
/ 01
Memory & Continual Learning
Model: Knowledge Graph
Stores information persistently as a structured knowledge graph that updates, merges, and reconciles contradictory facts over time — continual learning, not a frozen snapshot.
/ 02
Retrieval
Mode: Hybrid · Reranked
Hybrid search with reranking and structured context for your documents, returned at low latency so the right passages arrive the moment an agent asks.
/ 03
Filesystem
Mount: POSIX · Semantic
Mounts as a real filesystem, so an agent uses standard commands while the search underneath quietly becomes semantic — no new interface to learn.
/ 04
Profiles
Scope: Cross-Session
Preserves each user's preferences, behavior, and identity across every session, so an agent recognizes the person it is serving instead of meeting them anew each time.
/ 05
Connectors
Sync: Continuous
Automatically synchronize external sources — messaging, documents, storage, email, and code hosting — keeping memory current as the underlying systems change.
/ 06
Extractors
Input: Any Modality
Convert documents, web pages, images, audio, and other files into agent-ready memory using meaning-preserving chunking that keeps context intact.
02 The Pipeline
The workflow is deliberately short. Plug in, ingest, resolve, retrieve — from one unified graph.
Drop the SDK into your existing stack. Ingest data from any source, let the system resolve entities as they evolve, and retrieve memory, search results, and profiles from a single graph at request time. No glue code between four vendors; one call returns the whole context.
Ingest
Source: Any
Connectors and extractors pull in data from any source and turn it into agent-ready memory.
Resolve
Entities: Evolving
Entities are resolved as they evolve — facts update, merge, and reconcile inside one graph.
Retrieve
Latency: < 300 ms
Memory, hybrid search, and profiles are returned from a single unified graph in under 300 milliseconds.
03 Persistence
Most "memory" is just storage. Gluatech remembers — and keeps the context from one session to the next.
A vector database stores and returns text chunks. It has no model of the world, and it begins every session without prior context. Gluatech stores information as a structured knowledge graph that updates, merges, and reconciles contradictory facts over time — so an agent carries what it learned forward instead of starting over.
Vector StoreState: StatelessRecall: chunks only
Gluatech GraphState: PersistentRecall: continual
// The conventional approach
A conventional vector database simply stores and returns text chunks. Each session begins cold, with no memory of what came before and no way to tell a corrected fact from an outdated one.
// The Gluatech approach
Gluatech maintains a structured graph that resolves entities as they evolve. New information updates, merges, and reconciles against what is already known, so contradictions are settled rather than duplicated.
Unified Context =Structured Memory+Hybrid Retrieval+Live Profiles→ Resolved from one graph in < 300 ms
04 Deploy & Trust
Run it wherever your data has to live — on your terms.
Gluatech can be self-hosted on-premises, deployed inside your own cloud, or run fully air-gapped. The company cites independent security and data-protection certifications, and the qualitative-analysis layer clusters and summarizes signals without ever exporting the underlying data.
On-Premises
Your datacenter
Self-host the entire stack inside your own infrastructure, with no dependence on an external service.
Your Cloud
VPC deploy
Deploy into your own cloud account so memory and data stay within your boundary and your controls.
Air-Gapped
Fully isolated
Operate in environments with no external connectivity at all, for the most sensitive workloads.
Private Analysis
No data export
A qualitative-analysis layer clusters and summarizes signals without exporting the underlying data.
05 Measured in the open
Memory you can verify, not just trust.
Top-ranked on public benchmarks
Gluatech reports top-ranked results across several public memory benchmarks — the standard, shared tests the field uses to compare memory systems.
An open evaluation platform
The company maintains an open evaluation platform for memory systems, so any team can measure recall, contradiction handling, and multi-session continuity on common ground.
Built for very low latency
Every component is engineered to return structured context fast — memory, search, and profiles resolved from one graph in under 300 milliseconds.
06 Built For
One layer, many kinds of agents.
Gluatech serves the teams shipping assistants and agents in production, the enterprises building internal knowledge tools, and the individuals who want a memory that follows them across every application they use.
Builders
Assistants · KBs · Real-time agents
Developers and teams building AI assistants, knowledge bases, and real-time agents — add long-term memory by dropping in one SDK.
Enterprise
Internal knowledge tools
Internal enterprise knowledge tools that turn scattered systems of record into one queryable, governed memory.
Individuals
Personal cross-app memory
A consumer application gives each person a personal, cross-application memory that carries context wherever they work.
The Path Is Short
Plug in, ingest, resolve, retrieve — and give every agent a memory that persists. One graph, one API, any model.
Whether you're adding memory to a single assistant or standing up an air-gapped knowledge layer for an enterprise, send the details and the Gluatech team will follow up with access and architecture guidance.