Feature Suggestion: Memory Solutions for Swift Agent Ecosystem

[eduardg7]

Hi @christopherkarani,

Been exploring Swarm — the lightweight agent orchestration framework in pure Swift is impressive. The way you've structured the agent composition shows deep understanding of Swift's type system and concurrency model.

I'm building AMC (Agent Memory Controller), a memory layer for AI agents. It addresses a common pain point in agent frameworks: persistent, queryable memory that works across sessions.

Potential for Swift ecosystem:

• AMC has a REST API that could be wrapped for Swift agents
• Semantic search for retrieving relevant context
• Database-agnostic (Postgres, MySQL, SQLite support)
• Open source under MIT license — Swift-friendly licensing

We're launching a beta next week (Mar 24) and looking for early adopters. Given your work on Swift agent orchestration, I'm curious if there's interest in memory solutions for the Swift AI ecosystem — which seems to be growing but still has fewer tools compared to Python/JS.

Link: https://github.com/eduardg7/faintech-lab

I'd be curious to hear your thoughts on:

1. Is there demand for memory solutions in the Swift agent community?
2. Any interest in creating a Swift SDK wrapper around AMC's REST API?

Happy to provide more context or discuss this if you're interested. No pressure — just thought it might be relevant given your work on Swift agents.

Best,
Eduard
Founder, Faintech Solutions