Driftless MCP server

When a team and its AI agents are working out of a shared operational record, the value is in that record staying current for everyone reading it. Driftless holds shared context, projects, and operational records that a team and its agents read and write together, and Neotask's agent can participate in that directly — searching a topic before starting work, logging what it did afterward, so the next person or agent to look doesn't find a stale picture. It's less a single-purpose tool and more a shared surface that stays accurate because everyone, human or agent, is updating the same place.

• Read and write shared context, projects, and operational records in Driftless
• Work alongside a team and other AI agents on the same shared surface
• Search topics and log work to keep the shared record current

What you can automate

• Driftless MCP server - Read and write shared context, projects, and operational records in Driftless alongside a team and other AI agents. Search topics, log work, and keep a shared knowledge surface up to date.

Real workflows

Log work into the shared record

After completing a task, ask the agent to log it in Driftless; it writes the update so the team and other agents see current status.

Frequently asked questions

Is Driftless just for the agent, or for the whole team?

It's a shared surface — a team and other AI agents read and write to the same operational records.

Can it search before acting, so it doesn't duplicate work?

Yes, it can search existing topics and records in Driftless before starting or logging new work.

Plans

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