Comment by jnakano89

Working on Artifacta (https://docs.artifacta.io/introduction)- durable artifact storage for the files AI agents produce across sessions.

The problem I kept hitting with agent workflows (especially cloud hosted agents) was that the artifacts they produced became really awkward to handle across different cloud sessions.

So I built Artifacta as the boring storage layer underneath. Agents store and retrieve artifacts via CLI, REST API, Python SDK, or an MCP server. Artifacts are grouped by session/agent metadata, deduped on identical content, and safe to retry (idempotency keys), making it easy to handle artifacts across different sessions.

Would love any feedback for those who run mutli-agent orchestration or if you deal with artifacts across different agents.