Storage for the things agents make.

Code, documents, designs, memory, datasets and checkpoints, versioned on every write and traceable to the agent, model and session that produced them. Reachable over native Git, an S3-compatible API, or the SDK.

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Example artifact versions, authors, lineage and storage tiers
Artifact	Version	Produced by	Derived from	Tier	Written
reports/q3-summary.md	v12	analyst-v4 ses_8f2a	sales/q3.parquet, analyst-v4/memory.md	hot	4s ago
analyst-v4/memory.md	v148	analyst-v4 ses_8f2a	analyst-v4/memory.md v147	hot	4s ago
app/src/routes.ts	v31	swe-7 ses_c01d	app/src/routes.ts v30	hot	12s ago
design/onboarding.fig	v6	designer-2 ses_b77e	design/onboarding.fig v5	hot	1m ago
adapters/sft-run-19.safetensors	v1	trainer job_19	sales/q3.parquet, evals/suite-4.jsonl	cold	2h ago
sales/q3.parquet	v3	ingest ses_2210	none	cold	3d ago

One org’s ledger, illustrated. Every row is an immutable version; every version knows who wrote it and from what.

Stores

Code was the first thing agents made. It is no longer most of it.

Generated code: Whole repos or single files. Clone and push over Git, or stream files through the API with no checkout.
Documents: Markdown, PDFs, spreadsheets, drafts. Line diffs for text, structural diffs for JSON and tables.
Designs and media: Images, video, renders and design files. Large objects are chunked and deduplicated across versions.
Agent memory: Memory files, scratchpads and tool logs, versioned per agent and per session, so a mind can be replayed or rolled back.
Datasets and evals: Fork a dataset, run a job, keep the lineage between the input and the score.
Model checkpoints: Adapters and full weights from post-training runs, tied to the data and config that produced them.

Writes

Every write is a commit. Every commit knows where it came from.

Write through any door. An SDK call, a git push, or an S3 PutObject. The result is reachable through all three afterwards.
Versioned by content. Each write is hashed, deduplicated and committed with a quorum across replicas. Branch, fork and diff any artifact, including binaries.
Traceable later. Attach the agent, model, session and parents on write. Ask the lineage graph: what made this, and what did it go on to make?

put-report.ts11 lines

import { ArtifactStorage } from '@constal/artifact-storage'

const store = new ArtifactStorage({ org: 'acme', key })

const report = await store.put('reports/q3-summary.md', body, {
  producedBy: { agent: 'analyst-v4', session: 'ses_8f2a' },
  derivedFrom: ['sales/q3.parquet@v3', 'analyst-v4/memory.md@v148'],
})

report.version   // 12
report.sha256    // 9e1f…c3a0

Limits and pricing

Thousands of agents writing at once is the normal case. You pay for bytes and bandwidth.

Storage limits
Total storage	Unlimited
Artifacts per org	Unlimited
API and Git rate limits	None
Concurrent writes per artifact	Contact us
Max artifact size	Contact us
Version history	Unlimited
Sync with GitHub, S3, GCS	Yes

Usage pricing
Hot storage (touched in 7 days)	Contact us
Cold storage	Contact us
Inbound (put, push)	Contact us
Outbound (get, clone, fetch)	Contact us
Lineage queries, diffs, webhooks	Free
Seats, requests	Not billed
Bring your own cloud	Contact us

Storage is deduplicated across versions, so you pay for unique bytes. Metered hourly, invoiced monthly. Commitment discounts and dedicated tenancy on enterprise plans.

Durability

Your users expect their work to still be there.

Writes commit with a quorum across replicas before they are acknowledged. Failover is transparent, migrations have no downtime, and nothing in the write path is shared between tenants.

Uptime SLA: Contact us
Replicas per write: Contact us
Per-tenant encryption keys: Yes
Audit log on every read and write: Yes
SOC 2 Type II: Contact us
Data residency: Contact us

Give your agents somewhere to keep their work.

Create an org, mint a key, make a versioned write. Contact us for preview storage allowances.

npm i @constal/artifact-storage
pip install constal-artifact-storage
go get constal.ai/sdk/artifact-storage

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