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LMCache logo

LMCache

LLM Providers

Verified Publisher·Pending reviewVerified Adoption·Pending reviewEnterprise Ready·Pending review

KV-cache layer for LLM serving that reduces latency and cost for repeated or shared model context.

Enterprise fit

Buyer brief for procurement and architecture review

Public links
Visit WebsiteDocumentation

Developers also use

Generated from similarity, co-save, category, project, and adoption signals.

vLLM logo
vLLM

LLM Providers· docs.vllm.ai

Open source

High-throughput open-source inference and serving engine for LLMs with OpenAI-compatible APIs and production deployment patterns.

Why recommended

Same category

Keep evaluating LMCache

Comparisons, category adoption data, and shortlist guides that answer the questions this profile raises next.

Weigh LMCache against the alternatives

  • LMCache alternativesEvery llm providers product developers evaluate in place of LMCache.
  • LMCache vs vLLMSide-by-side pricing, API surface, and adoption evidence.
  • LMCache vs llama.cppSide-by-side pricing, API surface, and adoption evidence.
  • LMCache vs OllamaSide-by-side pricing, API surface, and adoption evidence.

Source-labeled signals for cost, reliability, security, integration, and adoption proof. Missing compliance evidence is shown as a gap, not guessed.

Compare for enterpriseExport brief
Inferred

Commercial model

Open source profile signal; exact enterprise terms need buyer review.

View source
Needs verification

Reliability

No status page, uptime, or SLA evidence attached

Needs verification

Security/compliance

No security, trust, or compliance source attached

Source linked

Integration fit

Documentation source linked

View source
Inferred

Adoption proof

Public saves/reviews indicate evaluator interest

Buyer recommendation

Shortlist only after verifying Reliability and Security/compliance.

Docs are linked for implementation review.Open-source path can reduce lock-in review.At least one buyer evidence source is linked or verified.

Vendor value loop

Vendors receive anonymous aggregate evaluation demand by default. Account details are shared only after explicit buyer contact or consent.

Request vendor contact

Real data backfill while adoption proof grows

These are source-linked enrichment paths for missing fields. They are treated as proxies until claimed-company data and first-party tokens& adoption events replace them.

GitHub repository APIfreeStars, forks, license, topics, releases, default branch, repo freshness, and public contributor signal.OpenSSF ScorecardfreeOpen-source security posture checks for repos before enterprise review.Wikidata company graphfreeParent company, acquisition, and ownership hints to avoid misleading same-owner comparisons.

Events / Tours

LMCache developer events

Hackathons, workshops, office hours, launches, and partner challenges tied to this product.

Claim or partner

No public events yet

Claimed teams can add hackathons, webinars, office hours, and challenges, then measure attendee to usage ROI.

AgentRank trust profile

Public proof buyers and agents can trust

Claim this tool to see who is evaluating it

AgentRank

50

Public signals · ★ 11,891

Trust Score

44

observed

Category Rank

#8

LLM Providers · public signals

Protocols

SDK

Agent-readable metadata

Tracked Developers

0

Known active developer activity

Profile Status

Unclaimed

Owner action needed

Trust Registry

AgentRank evidence file
observed

Source breakdown

GitHub11,891

68% confidence

Protocol support

SDK

Agent-readable protocol evidence raises trust and commercial readiness.

Adoption over time
Last 8 weeks+681 GitHub stars in 30d · cohort private · trust 44

Timeline appears after verified events.

We do not draw a fake adoption chart before live usage, self-reported proof, or challenge activity exists for this product.

Private (N<7)

active developers

Private (N<7)

verified adoptions

Private (N<7)

retention

Your developer adoption profile is already visible.

Claim it to verify data, add integrations, and unlock adoption intelligence on developers and accounts evaluating LMCache.

Claim your tool

Developer identities

See the builders behind saves, docs clicks, API calls, and retained usage.

Talk to sales

Account map

Developer identities, account mapping, retention cohorts, and competitor overlap are available on Growth and Enterprise plans.

About LMCache

KV-cache layer for LLM serving that reduces latency and cost for repeated or shared model context.

Resources
Official websiteofficial

Official product homepage verified during intake.

DocumentationDocs

Official docs for deployment and integration.

GitHub repositoryGitHub

Source repository and public activity signal.

GitHub
3 Resources
GitHub Stats

11,891

Stars

1,941

Forks

779

Issues

Quick Info
PricingOpen source
Open sourceYes
API availableNo
92,378
22,494
Open source
Why recommended

Same category

llama.cpp logo
llama.cpp

LLM Providers· github.com

Open source

C and C++ runtime for local LLM inference, quantized model serving, and edge deployment workflows.

Why recommended

Same category

129,244
23,610
Open source
Why recommended

Same category

Ollama logo
Ollama

LLM Providers· ollama.com

Open source

Local model runtime and API for downloading, running, and serving open LLMs on developer machines and private infrastructure.

Why recommended

Same category

181,203
17,912
Open source
Why recommended

Same category

Groq logo
Groq

LLM Providers· groq.com

Freemium

Hosted low-latency LLM inference API for open models and cost-sensitive apps.

Why recommended

Same category

API available
Why recommended

Same category

  • LMCache vs GroqSide-by-side pricing, API surface, and adoption evidence.

    • Check the adoption evidence

    • LLM Providers developers actually keep usingFiltered to products with verified usage events, cohort breadth, and retention.
    • AgentRank category rankingsHow every category is ordered by adoption proof, trust, and protocol support.
    • Best Open Source AI ToolsShortlist guide for this category, with the tradeoffs written out.
    • Best LLM API ProvidersShortlist guide for this category, with the tradeoffs written out.

    Own LMCache? Generate its adoption badge embed, or claim the profile to send verified usage events.

    Benchmark proof

    Benchmark proof pending

    Attach latency, cost, accuracy, reliability, or eval evidence to unlock the performance component.

    Trust gaps

    Verify publisher ownership
    Send SDK/API telemetry
    Attach benchmark evidence

    Enterprise verification can enrich evidence and export proof packages, but cannot buy rank.

    Claim this tool to see who is evaluating it
    Next best action

    Claim LMCache before competitors use this profile as proof.

    Connect usage events, resolve developer identities, and see which accounts are evaluating LMCache.

    Claim this tool to see who is evaluating it

    Resolve developer activity into companies, teams, and enterprise accounts.

    Talk to sales

    Retention cohorts

    Track first API call through 7/30/90-day retention and expansion.

    Talk to sales

    Competitor overlap

    Find developers evaluating alternatives and switching between tools.

    Talk to sales

    Category benchmark

    Compare activation, retention, and growth against your market.

    Talk to sales

    Recommended actions

    Prioritized DevRel, product, and sales plays based on live adoption signals.

    Talk to sales