# Enterprise knowledge tools vs StremAI

Enterprise knowledge platforms and StremAI hold different kinds of memory. Tools like Glean and Atlassian's Teamwork Graph index what your people have written — documents, tickets, pages, decisions — and make it available to assistants and agents with permissions. StremAI holds what your coding agents learn while working: pitfalls, fixes, and project decisions stored as attributed memories that other connected agents can recall across sessions and tools. They're complementary layers: one retrieves recorded knowledge, the other retains working experience. StremAI is verified with Claude Code and Claude Desktop; other MCP clients are supported or in active verification.

Verified with Claude Code and Claude Desktop; Cursor, Codex, Windsurf, OpenClaw, and other MCP clients are supported or in active verification.

## What enterprise knowledge tools are great at

Enterprise knowledge platforms such as Glean and Atlassian Rovo make human-written knowledge searchable and usable by AI with permissions: documents, tickets, pages, projects, decisions, and people graphs.

For recorded company knowledge, they are the right category to evaluate.

## The gap, as scope

The cited materials describe indexing and reasoning over human work artifacts and per-user personalization. They do not describe capturing what third-party coding agents learn during sessions and sharing that learned context across coding tools.

StremAI covers that working-memory layer: pitfalls, fixes, decisions, and handoffs learned by connected coding agents.

## Using both

Most enterprises need both layers. Use a knowledge platform to retrieve what people wrote; use StremAI to retain what agents learned while working.

A coding agent can still consult company docs and tickets, while StremAI gives it remembered project lessons from prior connected-agent work.

## When you don't need StremAI

If your only need is searchable documents, tickets, or enterprise wiki content, use your knowledge platform first.

Skip it if you use one AI tool, in one repository, on one machine, and its built-in memory plus a CLAUDE.md or AGENTS.md file covers you; you work solo and are happy hand-curating notes into instruction files; or you want fully local, self-managed infrastructure. Open-source MCP memory servers are a reasonable choice if you prefer running your own. StremAI earns its place when agents span multiple tools, machines, or teammates, and when you want memory that is shared, attributed, and user-controlled without operating the layer yourself.

## FAQ

### Does Glean give AI agents memory?

Glean is strong at permissions-aware retrieval over enterprise knowledge. The cited materials do not describe cross-tool coding-agent session memory as StremAI defines it.

### Atlassian Rovo memory vs agent memory?

Rovo Memory describes per-user personalization and user-set guardrails. StremAI stores attributed lessons coding agents learn while working, so connected agents can recall them later.

### Enterprise search vs agent memory?

Enterprise search retrieves recorded human knowledge. Agent memory retains working experience agents learned during sessions.

### Do we need a memory layer if we have Glean?

Maybe. If you only need document retrieval, Glean may be enough. If coding agents repeatedly relearn session lessons, a memory layer like StremAI covers a different job.

### How do coding agents use company knowledge and remember their own work?

Use enterprise search for company docs and StremAI for agent-learned project context. They are complementary layers.

## Sources

- Glean public company materials: https://www.glean.com (accessed 2026-07-08) — Enterprise knowledge graph and assistant positioning.

- Atlassian Rovo Team 26 announcement: https://www.atlassian.com/blog/company-news/rovo-team-26 (accessed 2026-07-08) — Teamwork Graph, agents, and Rovo Memory framing.

## Start

Plan an agent memory audit: https://stremai.com/enterprise

Markdown alternate for https://stremai.com/compare/enterprise-knowledge-tools-vs-stremai: https://stremai.com/compare/enterprise-knowledge-tools-vs-stremai.md