AI & ML integration

Past.dev integration for AI agents

Insiro connects AI agents to Past.dev so they can act in it under your rules. Past.dev is a source-backed memory service for AI agents. It helps agents retain, trace, and safely manage durable context. Every Past.dev action runs through Insiro's governed gateway, using each person's own connection (API key).

What can AI agents do with Past.dev?

With Insiro, agents can call models and AI services as steps in a pipeline, compare outputs and keep the best result, enrich records with generated summaries and route requests to the right model by cost, all inside the permissions you set for Past.dev.

  • Call models and AI services as steps in a pipeline.
  • Compare outputs and keep the best result.
  • Enrich records with generated summaries.
  • Route requests to the right model by cost.

A journey through Insiro

Past.dev logo Past.devInsiroNotion

Example: Past.dev → Insiro → Notion to write generated research into a shared doc. Insiro checks permissions, applies approvals and records the evidence at every hop.

Frequently asked questions about Past.dev

Can Insiro AI agents use Past.dev?

Yes. Insiro connects AI agents to Past.dev through its governed MCP gateway. Agents can call models and AI services as steps in a pipeline and compare outputs and keep the best result using each person's own Past.dev access, with read-only as the default and approvals for actions that change data.

How does Insiro connect to Past.dev?

Past.dev connects with API key. Each user connects their own account once; Insiro stores the credential encrypted and brokers it to the tool only at the moment of a call, so models never see it. Admins can also register a workspace-level connection.

Can I make Past.dev read-only for agents?

Yes. In Insiro Governance, set Past.dev to Off, Read only, or Read and write in a click. Write actions can require confirmation or owner approval by risk tier, and every call is logged with the user, tool, tokens and cost.

Put Past.dev to work with governed AI agents.

A 30-minute working session: we connect one data source and one app, then run a governed agent on a task you choose.

  • 13governance checks on every agent tool call
  • 1,700+SaaS apps agents can act in
  • 30+data dialects for plain-English questions