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Rafter – an MCP server that shares one team's memory, skills and agents

Rafter – an MCP server that shares one team's memory, skills and agents is a workflow AI agent for Enable persistent, cross-person and cross-device collaboration among AI agents within a team by sharing memory, skills, and state. Pricing: not stated on the product page. As of 2026-09-12, KanonAgent records 2 upvotes. First indexed by KanonAgent on 2026-08-28.
Rafter acts as a shared memory hub for teams, letting AI agents retain and exchange knowledge across members and tasks.
2 upvotes
Tracked by Kanon since Aug 28, 2026
no signal yet
status
10/100
momentum · conf 0.43
15d
tracked since 2026-08-28
1
evidence records

No signal event on file yet — status is unknown, not "quiet".

📈 Timelinewhat changed, and when
🔎 Known / Unknown 16 of 23 fields unknown
Machine-callable unknown
Open source unknown
Self-hostable unknown
Bring your own key unknown
Autonomy level unknown
Pricing model unknown
Integrationsmcp inferred 1 quote(s)

“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.

🤖 Agent teardown · workflow
Job to be doneEnable persistent, cross-person and cross-device collaboration among AI agents within a team by sharing memory, skills, and state.
Who it is forTeams and enterprise AI collaboration users
Integrationsmcp
Traction · why it is risingHas received one vote on Product Hunt
Why it matters

It establishes a foundational architecture for team-level AI coordination through shared memory and skill pools, positioning it as a core component of enterprise agent ecosystems.

Evidence quotesverbatim, from the product’s own materials

“MCP server that shares one team's memory, skills and agents”— description
Signal source: Show HN
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FAQ

What is Rafter?

Rafter acts as a shared memory hub for teams, letting AI agents retain and exchange knowledge across members and tasks.

What does Rafter do?

Enable persistent, cross-person and cross-device collaboration among AI agents within a team by sharing memory, skills, and state.

Why does Rafter matter?

It establishes a foundational architecture for team-level AI coordination through shared memory and skill pools, positioning it as a core component of enterprise agent ecosystems.

What does Rafter integrate with?

mcp

How popular is Rafter?

As tracked by KanonAgent: 2 upvotes (first indexed 2026-08-28).

What are the best Rafter alternatives?

Similar AI agents tracked by KanonAgent: langchain, ponytail, BIG, claude-mem, AEO Engine, autogen.

Rafter – an MCP server that shares one team's memory, skills and agents alternatives — similar AI agents

langchainponytailBIGclaude-memAEO Engineautogen

Where this fits — browse the same shelf

AI Workflow Automation AgentsAI agents for Multi agent orchestrationAI agents that work with MCP (Model Context Protocol)