Your agents are generating PDFs, CSVs, and markdown in milliseconds. But artifact storage is stuck in the past. Give your AI pipelines durable, deduplicated, and session-aware memory—without writing another custom S3 wrapper. Push, pull, and hand off agent outputs with zero infrastructure code.
Seamless integration with the modern AI stack
LangChainCrewAITemporalAutogenPython SDKNext.js
Your agent produces an output—a research report, a dataset, a code patch. Now you have to store it durably, index it for retrieval, handle duplicates when the agent retries, and generate a secure link for human review.
That's weeks of engineering spent on S3 buckets and Postgres tables instead of your core product. It's infrastructure plumbing, and every AI team is rebuilding it from scratch.
Complex AI workflows require passing context and files between sub-agents. Artifacta replaces fragile /tmp directories and shared NFS mounts with a deterministic, agent-native API.
Agent A pushes an output and receives an immutable ID. Agent B pulls it by ID or queries the session metadata. No path conventions, no race conditions, no timing hacks. Just a clean, zero-config handoff.
› pip install artifacta-cli// CLI + Python SDK in one package
› artifacta push <file> --session ses_run1// Store artifact, deduplicate, tag to session
› artifacta pull <artifact_id>// Retrieve by ID across agents and processes
› artifacta ls --session ses_run1 --agent eval// Query what a specific agent produced in a run
Everything you need to evaluate Artifacta and build your first agent pipeline.
$0 / month
No credit card required.
For production agent pipelines that need room to scale and artifacts that stick around.
$20 / month
Cancel anytime. All features in Free included.
Coming soon
x402 enables pay-per-call API access via USDC on Base or Solana.
Pay-per-call
Pricing TBD.
Request and storage quotas apply to uploads only. Downloads, listing, and inspecting artifacts are never blocked — even when you hit your limit.
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