Atomic Strata
Atomic Strata provides a configurable AI context memory layer that gives production AI applications persistent, inspectable, and correctable memory. The platform captures facts, constraints, and decisions with versioned lineage, generates recall receipts for every retrieval, and supports scoped memory for users, workspaces, and agents. It can be self-hosted or deployed in a customer's VPC and integrates with ChatGPT, Claude, Copilot, Gemini, and coding agents.
- Artificial Intelligence
- Developer Tools
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Teams building production AI applications lack a shared, governed context layer, leading to duplicated work, inconsistent answers, and no visibility into what models were told. Context memory is treated as an afterthought or built in-house in fragments, creating stale facts, high token costs, and audit risks that grow as AI moves from single-turn chats to persistent workflows.
Solution
Atomic Memory provides a durable, configurable context memory layer that sits between AI applications and models, enabling persistent, inspectable, and correctable memory. The platform captures facts, constraints, and decisions, versions every correction with lineage, and generates a recall receipt for every retrieval so outputs can be traced back to their sources. Context lives outside any single model or vendor, allowing teams to switch or mix models freely while only relevant, current context enters the prompt. The system includes scoped memory for users, workspaces, and agents, with AUDN (add, update, delete, no-op) operations and a claim history that supports governance and audit requirements. It can be self-hosted or deployed in the customer's VPC, and integrates across ChatGPT, Claude, Copilot, Gemini, and coding agents.
Target Audience
Primary customers are enterprise AI leaders and platform teams building production AI applications, as well as developers creating agents and AI tools that need shared, governed context memory.
Features
- Configurable memory and retrieval with per-application SDKs for TypeScript and Python
- Recall receipts with provenance on every retrieval, tracing outputs back to their source
- Correction and deletion through AUDN operations with claim versioning and full history
- Explicit user, workspace, and agent scopes to keep context within team and tenant boundaries
- Self-hosted or VPC deployment with policy controls, customer-managed keys, and zero-egress air-gapped profile
- Open-source core available for free self-hosted use, with integrations across ChatGPT, Claude, Copilot, Gemini, and coding agents
- CLI and HTTP API for ingesting and searching memory
- SOC 2 Type II audit in process