Paperclip Surfers adds memory, MCP support
Paperclip Surfers, an open-source fork of Paperclip for managing AI agent companies, adds persistent conversations, project and global memory, MCP syncing, per-agent skill selection, and performance analytics. The update reads like a real V2 rather than a cosmetic refresh, pushing the project toward a fuller agent-ops stack.
This is the kind of upgrade that makes an agent platform feel operational instead of demo-ready. Persistent memory plus MCP syncing turns Paperclip Surfers into infrastructure for long-running workflows, not just chat sessions.
- –Persistent conversations and global/project memory address the biggest gap in agent tooling: continuity across tasks, agents, and time
- –MCP syncing is the most strategic addition because it connects the system to external tools and shared context without bespoke integrations
- –Per-agent skill selection suggests the platform is moving toward role specialization, which is essential once you run multiple agents in parallel
- –Performance analytics matter because agent systems fail quietly; observability is what separates useful automation from expensive guesswork
- –As an open-source fork, it may appeal to teams that want control and extensibility more than a managed SaaS product
DISCOVERED
57d ago
2026-03-31
PUBLISHED
57d ago
2026-03-31
RELEVANCE
AUTHOR
Income stream surfers