Community Labs

Community Labs is an independent research organization founded in 2022 by Tate Berenbaum, oriented toward a single belief: access to the future of intelligence should not be gate kept by the hardware people can afford. The company raised a $30M seed round led by Lightspeed Venture Partners, originally operating as a native software development company and venture studio accelerating developer tools and adoption of the Arweave permaweb, and has since refocused on local and consumer-hardware AI inference research. Its open source surface spans Hypura, a storage-tier-aware LLM inference scheduler for Apple Silicon that exposes an Ollama-compatible HTTP API, Autolab, an autonomous research orchestration framework, and the labscommunity GitHub organization of Arweave developer libraries including ArweaveKit, Arweave Wallet Kit, and the Arweave Storage SDK.

Community Labs is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, Inference, and Developer Tools.

Community Labs’ developer surface includes CLI, changelog, and 11 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

19.7/100 emerging ▬ flat Agent 0/100 human only Front door AI 1/6 silent Heartbeat 100/100 alive library Full breakdown ↓
scored 2026-11-02 · rubric v0.26.0 · Show this score on your site →

1 API

Company Artificial Intelligence Machine Learning Inference Developer Tools Open Source BlockchainArweaveResearch Apple Silicon

Kin Score

Kin Score How this is scored →
scored 2026-11-02 · rubric v0.26.0

Composite quality — 19.7/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 7.3 / 17

Access Clarity 0.0 / 17

Operational Transparency 2.0 / 11

Contract Governance 1.9 / 10

Discoverability 6.2 / 9

Regulatory Posture 1.5 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

13 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Access Clarity scores 0.0 — up to +20.0 composite points
Developer Ergonomics scores 42.9 — up to +11.4 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/community-labs/apis.yml: open an issue on github.com/api-evangelist/community-labs to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Apple Accessory & Device Ecosystem (MFi, Matter, Apple partners)	undeclared	-	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Hypura Ollama-Compatible Inference API

Hypura is a storage-tier-aware LLM inference scheduler for Apple Silicon that places model tensors across GPU, RAM, and NVMe tiers so models larger than physical memory can run....

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Community Labs Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

IssueTracker

IssueTracker

Releases

Releases

ChangeLog

ChangeLog

Company 2

The organization behind the API

Website

Website

LinkedIn

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

aid: community-labs
name: Community Labs
description: 'Community Labs is an independent research organization founded in 2022 by Tate Berenbaum, oriented toward a
  single belief: access to the future of intelligence should not be gate kept by the hardware people can afford. The company
  raised a $30M seed round led by Lightspeed Venture Partners, originally operating as a native software development company
  and venture studio accelerating developer tools and adoption of the Arweave permaweb, and has since refocused on local and
  consumer-hardware AI inference research. Its open source surface spans Hypura, a storage-tier-aware LLM inference scheduler
  for Apple Silicon that exposes an Ollama-compatible HTTP API, Autolab, an autonomous research orchestration framework, and
  the labscommunity GitHub organization of Arweave developer libraries including ArweaveKit, Arweave Wallet Kit, and the Arweave
  Storage SDK.'
deliveryModel:
  model: library
  license_evidence:
    not_product:
    - t8/hypura
  open_source: unknown
  commercial: false
  callable_host: false
  label: Library · distributed through package registries, no callable service
  confidence: low
  source:
  - repository-not-product
  generated: '2026-09-25'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  try_now_blocked_by: loopback
  source:
  - security
  generated: '2026-11-02'
  method: derived
image: https://www.communitylabs.com/assets/Favicon.png
url: https://raw.githubusercontent.com/api-evangelist/community-labs/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- lightspeed-venture-partners
x-tier: stub
x-tier-reason: portfolio-lead
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 7
  pass: local-v1
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Inference
- Developer Tools
- Open Source
- Blockchain
- Arweave
- Research
- Apple Silicon
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- LLM Inference
- Developer Tools
- Open Source
- Blockchain
- Arweave
- Research
- Apple Silicon
- Machine-Learning
- Open-Source
apis:
- aid: community-labs:hypura
  name: Hypura Ollama-Compatible Inference API
  description: Hypura is a storage-tier-aware LLM inference scheduler for Apple Silicon that places model tensors across GPU,
    RAM, and NVMe tiers so models larger than physical memory can run. Running `hypura serve <model.gguf>` exposes a local
    Ollama-compatible HTTP API, making it a drop-in replacement for tooling that talks to Ollama. The server is local-first;
    there is no hosted endpoint.
  humanURL: https://github.com/t8/hypura
  baseURL: http://127.0.0.1:8080
  tags:
  - Inference
  - Local AI
  - Ollama Compatible
  - Apple Silicon
  tags_raw:
  - LLM Inference
  - Local AI
  - Ollama Compatible
  - Apple Silicon
  properties:
  - type: SourceCode
    url: https://github.com/t8/hypura
  - type: Documentation
    url: https://github.com/t8/hypura#readme
  - type: APIReference
    url: https://github.com/t8/hypura#endpoints
  - type: GettingStarted
    url: https://github.com/t8/hypura#quick-start
  - type: Conformance
    url: conformance/community-labs-conformance.yml
common:
- type: IssueTracker
  url: https://github.com/t8/hypura/issues
- type: Releases
  url: https://github.com/t8/hypura/releases
- type: DomainSecurity
  url: security/community-labs-domain-security.yml
- type: Website
  url: https://www.communitylabs.com/
- type: GitHubOrganization
  url: https://github.com/labscommunity
- type: X
  url: https://x.com/CommunityLabs
- type: LinkedIn
  url: https://www.linkedin.com/company/communitylabs1
- type: Packages
  url: packages/community-labs-packages.yml
- type: SDKs
  url: packages/community-labs-packages.yml
- type: CLI
  url: cli/community-labs-cli.yml
- type: ChangeLog
  url: changelog/community-labs-changelog.yml
- type: Conformance
  url: conformance/community-labs-conformance.yml
- type: LLMsTxt
  url: llms/community-labs-llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io

Community Labs API — frequently asked questions

Does Community Labs have an API?

Yes. APIs.io lists 1 API from Community Labs, including Hypura Ollama-Compatible Inference API.

Is the Community Labs API ready for AI agents?

Community Labs has a Kin Score of 19.7 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-02.

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