comparison · pulse vs coworker ai
Pulse vs Coworker AI
Coworker AI is a chat companion. Pulse is a memory and action layer that any companion (including Coworker) can call.
When Coworker AI is the right call
- The goal is a single chat companion in one or two tools with a fast, helpful assistant feel.
- The team does not need a typed decision graph, ACL mirroring across every tool, or approval-gated agent actions across the stack.
- Switching cost between assistants matters less than the polish of the chat experience itself.
When Pulse is the right call
- The team needs decisions, commitments, and outcomes to persist as typed entities, not just as chat history.
- Approval-gated agent actions across Slack, Linear, GitHub, and Calendar are part of the rollout.
- Calibrated confidence and refusal below threshold are required. A confident-sounding answer with no audit trail is not acceptable.
- The team wants one memory layer that every assistant (Claude Desktop, Cursor, custom agents) can call via MCP.
Side by side
Feature, architecture, and posture rows. Pricing is at /pricing.
| Axis | Pulse | Coworker AI |
|---|---|---|
| Primary shape | Memory and action layer; typed decision graph; MCP server | Chat companion |
| Sources covered | Nine integrations across Slack, GitHub, Notion, Linear, Calendar, Drive, Confluence, Jira, meeting transcripts | Varies by connector; primarily chat-tool integrations |
| Persistence model | Decisions, commitments, action items as first-class typed entities | Conversation history |
| Permission handling | ACL mirror at retrieval; visibleDocumentIds gate; audit logged | Standard OAuth scopes |
| Agent actions | Approval inbox, allowlist enforcement, 5 minute undo, per-policy rate limits | Direct send by default in some configurations |
| Calibrated confidence | 0 to 100 per answer, calibrated per workspace and topic | Not exposed |
| Interoperability | MCP server with nine read-only tools; works with Claude Desktop, Cursor, any Skills-compatible client | First-party chat surface |
The honest verdict
Coworker AI and Pulse aren't quite the same product even though they share the chat surface. A team can run Pulse as the memory and action layer and keep using Coworker (or Claude Desktop, or Cursor) as the chat companion that calls Pulse via MCP. If the choice is exclusive, Pulse is the right answer when decision memory, ACL mirroring, and approval-gated agent actions matter more than the polish of the chat surface itself.
Questions teams ask before switching
Can a team use Coworker AI and Pulse together?
Yes. Pulse exposes nine read-only tools via the MCP server. Coworker (or any other Skills-compatible client) can call Pulse for retrieval and decision lookup while keeping its own chat experience.Does Pulse have a chat interface?
Pulse ships an Ask surface for natural-language questions with sentence-level citations and a calibrated confidence score. It is not designed to be a daily-driver chat companion, and the team's primary chat tool (Claude Desktop, Cursor, ChatGPT, or a workspace assistant) can reach Pulse via the MCP server instead.What's the difference in how agent actions work?
Pulse routes every external write through an approval inbox with allowlist enforcement, per-policy rate limits, and a 5 minute undo window backed by source-system delete endpoints. The default posture is draft-then-approve. Chat-companion products often default to send-then-confirm, which is a different risk model.Which one is the right starting point?
If the team wants a chat companion and nothing else, start with Coworker or Claude Desktop. If the team wants a persistent memory layer plus approval-gated agent actions across the stack, start with Pulse. They are not mutually exclusive; many teams end up running both with Pulse as the memory layer.
See if Pulse is the right shape for your team.
A 30 minute interview with a founder and your stack connected in 10 more. The graph isn't cold on day one.