ATLAS · ENGINEERING MEMORY PLATFORM

The memory layer for
software engineering.

Atlas continuously turns code, pull requests, incidents, and decisions into evidence-backed memory — trusted context for engineers and AI agents.

Request early access Read the architecture

Every answer cites its sources. Every source respects its permissions.

EARLY ACCESS · 2026

Engineering organizations forget.

The why behind every system lives in closed threads, postmortems nobody rereads, and the heads of engineers who eventually leave. Every departure is an un-versioned deletion of context.

The code survives. The why does not.

AI agents now write code inside that amnesia — fast, confident, and context-free.

Retrieval was never the hard part. Trust is.

payments-retry-design.md

updated 2022-08-02 · similarity 0.91

SUPERSEDED BY ADR-013

ADR-013 — Deprecate legacy retry queue

2024-11-19 · similarity 0.89

CANONICAL

A vector index returns the stale one. It was superseded two years ago.

Enterprise searchRAG pipelinesWikis & docsCode search
Relationships————
Provenance—superficial——
Authority————
Permissionsbolt-onrarelymanualpartial
  • Enterprise search finds documents, not truth — ten conflicting results is not an answer.
  • RAG retrieves by similarity, and similarity is not authority.
  • Wikis are snapshots that decay silently, disconnected from the systems that contradict them.
  • Code search tells you what the code says — never why, who decided, or what broke last time.

Memory as infrastructure.

Everything an engineering organization runs on has a system of record. Except the knowledge it runs on.

CODEgit
BUILDSCI/CD
UPTIMEobservability
IDENTITYyour IdP
MEMORY Atlas
  • Evidence over confidenceIf Atlas can’t cite it, Atlas doesn’t say it.
  • Permissions are a foundationInherited from sources, enforced at query time — never a post-hoc filter.
  • Memory is a graph with a clockWhat is true is inseparable from when it became true.
  • Agents are first-classMachines consume more context than humans now. APIs are the primary interface.

Proof and permissions, first.

Evidence & provenance

Every claim, traceable to its source. Hover a phrase.

“What’s the history of the retry queue?”

Payments pins the legacy retry queue behind a flag pending INC-207 remediation; removal is scheduled under ADR-013.

scoped to: your access

Permission-aware retrieval

Same question. Each answer built only from what the asker may see.

s.okafor · staff eng · payments

Pinned behind a flag pending INC-207 remediation; removal scheduled under ADR-013.

ADR-013 PR #4821 INC-207

j.lin · contractor · frontend

Pinned behind a flag; removal scheduled under ADR-013.

ADR-013 PR #4821 1 source withheld

Continuous memory graph

Entities, relationships, and history — built automatically, never curated.

Authority & freshness

Canonical outranks stale. Confidence decays when reality moves.

Engineering history

What changed, when, why — and what superseded it.

Agent-native APIs

MCP and context APIs with per-agent identity and audit.

Nothing is stripped on the way up.

  1. Connect

    Read-only connectors to your repos, trackers, docs, and incident tooling. Nothing to instrument, no workflow changes.

  2. Understand

    Atlas resolves entities and relationships across sources, attaching provenance and access control to every fact.

  3. Serve

    Humans query Atlas directly; agents consume MCP and the context API. Every response is scoped and cited.

memory is re-verified continuously — confidence decays when reality moves

INTERFACES app · humans MCP + API · agents audit log TRUST LAYER authority freshness enforcement MEMORY GRAPH entities · relationships · provenance · time SOURCES repos · PRs · issues · docs ADRs · incidents · deploys

Permissions and provenance enter at the bottom and are never stripped on the way up.

Your agents are only as good as their memory.

The context layer your platform team was about to spend two years building.

mcp.json

{
  "mcpServers": {
    "atlas": {
      "url": "https://mcp.atlasemp.com",
      "identity": "deploy-reviewer@ci",
      "scope": "payments/*"
    }
  }
}
  • MCP server. Drop Atlas into Claude Code, Cursor, or any MCP-capable agent.
  • Context API. Structured, evidence-backed context for custom agent frameworks.
  • Per-agent identity. Least-privilege scopes, and every access in the audit log.

Built for the enterprise from the first commit.

Revoked at the source. Gone from every answer. No shadow ACLs.

  • Permission inheritance, continuously synced. Revoked in the source system, gone from answers.
  • Your data is never training data. Customer content is not used to train models. Full stop.
  • Identity & access. SSO/SAML, SCIM provisioning, RBAC, per-agent service identities.
  • Complete audit trail. Every query, by every human and every agent, with sources touched.
  • Deployment options. Managed cloud with single-tenant isolation; private-VPC for regulated environments.
  • Compliance. SOC 2 is on our roadmap — not yet audited. The access, audit, and isolation controls above are built in.
2026-07-04 14:02:11SO s.okafor“retry queue history”sources: 5payments/*
2026-07-04 14:02:38 deploy-reviewer@ciatlas.context.querysources: 4payments/*
2026-07-04 15:11:04AK a.khan · adminaudit export#88301–88412org/*

Questions engineers actually ask.

No. RAG retrieves text by similarity. Atlas maintains a memory graph where provenance, authority, permissions, and time are structural. Similarity can’t tell you which of two contradicting documents is current, who may see it, or why it changed. Atlas can.

ACLs are ingested from each source alongside content and enforced per identity at query time. Permissions re-sync continuously — revocation at the source propagates to Atlas. Agents authenticate with their own scoped identities.

Every claim links to the commits, pull requests, ADRs, incidents, or docs it was derived from, with timestamps. If sufficient evidence doesn’t exist, Atlas says so instead of guessing.

GitHub and GitLab, Jira and Linear, Confluence and Notion, PagerDuty, CI/CD systems, and in-repo ADR conventions at launch. The connector surface expands continuously.

No. Customer data is never used for model training and is isolated per tenant.

Through the Atlas MCP server or the context API. Agents receive permission-scoped, citation-carrying context, and every access is recorded in the audit log.

Teams that try discover the vector index is the easy 10%. Entity resolution, ACL inheritance, authority ranking, and temporal modeling — kept continuously correct — is a multi-year platform effort. It’s a product, not a feature of your platform team.

Give your organization a memory.

Today, Atlas reads your engineering systems and serves trusted memory. Next, memory becomes read-write — the organization learning at the speed it ships. The endgame is simple: every engineering organization runs on a memory layer. We’re building it.

EARLY ACCESS · 2026