Can agents capture the institutional knowledge our processes depend on?

Yes. Agents write durable observations, the steps, owners, and edge cases of a workflow, and read them back on the next run, so operating knowledge stops living only in people's heads.

Does it work with the SaaS and no-code tools we already automate with?

Yes. Glen is a standard MCP server that complements the spreadsheet, SaaS, and no-code servers your agents already use, adding the shared memory layer they all lack.

Shared memory for operations teams

Operations teams keep the business running through a thousand small, recurring decisions: how a vendor process works, the right way to handle an exception, who owns which step, the workaround for that quarterly task that always breaks. As your team automates with AI agents across spreadsheets, internal tools, and SaaS APIs, each agent meets these processes cold and rediscovers the same procedures and gotchas every run. Glen, shared memory for AI agents, gives your team's agents one shared, durable memory exposed as a single MCP tool, so operational know-how persists and is recalled instead of relearned.

Operations is the discipline of turning chaos into repeatable process, and the enemy is undocumented tribal knowledge that lives in one person's head. AI agents promise to execute those processes, but without shared memory they reintroduce the exact problem ops exists to solve: each agent run rediscovers how a workflow works, fumbles the same edge cases, and never builds on what a previous run learned. Glen makes the process knowledge durable and shared: connected over MCP, an agent reads the store before it runs a workflow, picking up the steps, owners, and known exceptions, and writes back what it learns, so the procedure gets more reliable each time rather than starting fresh.

For an operations team this is a direct fit with how you think about standard operating procedures. The steps of a recurring task, the workaround for a system that misbehaves, the contact who owns an approval, all become memory an agent consults at the moment it executes, so automations behave consistently and degrade gracefully when something is off-script. Because Glen is org-scoped, this memory is shared across the whole operations function and even across teams, so a procedure one person's agent learns is available to everyone's, and knowledge survives when someone leaves. As a standard MCP server, Glen sits alongside the no-code, spreadsheet, and SaaS servers your agents already drive, complementing them with the institutional how-we-do-this that none of those tools capture. Connect once over OAuth or an API key and turn your team's operating knowledge into memory every agent can read.

FAQ

Can agents capture the institutional knowledge our processes depend on?: Yes. Agents write durable observations, the steps, owners, and edge cases of a workflow, and read them back on the next run, so operating knowledge stops living only in people's heads.
Does it work with the SaaS and no-code tools we already automate with?: Yes. Glen is a standard MCP server that complements the spreadsheet, SaaS, and no-code servers your agents already use, adding the shared memory layer they all lack.