Home/Compare/anything-llm vs screenpipe

Comparison

anything-llm vs screenpipe

Verdict

Pick anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows; pick screenpipe if yC-backed project that focuses on local privacy-centric AI services for recording and analyzing user activities with multimodal techniques.

Markdown twin · anything-llm alternatives · screenpipe alternatives

GraphCanon updated Sep 20, 2026

8views this month

anything-llm logo

anything-llm

Mintplex-Labs/anything-llm

★ 66kpushed Sep 17, 2026
vs
screenpipe logo

screenpipe

screenpipe/screenpipe

★ 22kpushed Sep 20, 2026

Trust & integrity

Signalanything-llmscreenpipe
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Very active (0d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

anything-llm
Self-hosted AI agent experience
screenpipe
AI that records and analyzes everything you do, say, hear locally

Stars

anything-llm
66k
screenpipe
22k

Forks

anything-llm
7.3k
screenpipe
2.2k

Open issues

anything-llm
315
screenpipe
26

Language

anything-llm
JavaScript
screenpipe
Rust

Adopt for

anything-llm
anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows.
screenpipe
YC-backed project that focuses on local privacy-centric AI services for recording and analyzing user activities with multimodal techniques.

Persona

anything-llm
-
screenpipe
-

Runtime

anything-llm
-
screenpipe
-

License

anything-llm
MIT License, allowing for free use, modification, and distribution.
screenpipe
Other

Last pushed

anything-llm
Sep 17, 2026
screenpipe
Sep 20, 2026

Categories

anything-llm
AI Agents, Developer Tools, Inference & Serving
screenpipe
AI Agents, Computer Vision, Data & Retrieval, Inference & Serving, Speech & Audio

Trust and health

Open issues (now)

anything-llm
315
screenpipe
26

Stars delta

anything-llm
+1.5k (30d)
screenpipe
+1.1k (30d)

Open issues delta

anything-llm
-4 (30d)
screenpipe
-77 (30d)

Full report

anything-llm
Trust report
screenpipe
Trust report

Choose anything-llm if…

  • anything-llm is primarily JavaScript; screenpipe is Rust.
  • License: anything-llm is MIT, screenpipe is Other.
  • Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure..
  • Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment..
  • Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai.
  • Also covers Developer Tools.
  • When you need a local-first AI agent experience that you can fully control and customize.

When NOT to use anything-llm

  • If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management.
  • When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.

Choose screenpipe if…

  • screenpipe is primarily Rust; anything-llm is JavaScript.
  • License: screenpipe is Other, anything-llm is MIT.
  • Tags unique to screenpipe: agents, agi, ai-memory, audio-recording.
  • Also covers Computer Vision, Data & Retrieval, Speech & Audio.
  • Need to monitor and analyze personal data locally with privacy in mind

When NOT to use screenpipe

  • Require cloud-based centralized AI services for user activity analysis
  • Looking for open-source tools as Screenpipe uses an unspecified license

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: anything-llm 66k · screenpipe 22k (synced Sep 20, 2026).

Common questions

What is the difference between anything-llm and screenpipe?
anything-llm: Self-hosted AI agent experience. screenpipe: AI that records and analyzes everything you do, say, hear locally. See the comparison table for live GitHub stats and shared categories.
When should I choose anything-llm over screenpipe?
Choose anything-llm over screenpipe when anything-llm is primarily JavaScript; screenpipe is Rust; License: anything-llm is MIT, screenpipe is Other; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers Developer Tools; When you need a local-first AI agent experience that you can fully control and customize.
When should I choose screenpipe over anything-llm?
Choose screenpipe over anything-llm when screenpipe is primarily Rust; anything-llm is JavaScript; License: screenpipe is Other, anything-llm is MIT; Tags unique to screenpipe: agents, agi, ai-memory, audio-recording; Also covers Computer Vision, Data & Retrieval, Speech & Audio; Need to monitor and analyze personal data locally with privacy in mind.
When should I avoid anything-llm?
If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.
When should I avoid screenpipe?
Require cloud-based centralized AI services for user activity analysis Looking for open-source tools as Screenpipe uses an unspecified license
Is anything-llm or screenpipe more popular on GitHub?
anything-llm has more GitHub stars (66,167 vs 21,636). Stars measure visibility, not whether either tool fits your constraints.
Are anything-llm and screenpipe open source?
Yes - both are open-source projects on GitHub (anything-llm: MIT, screenpipe: Other).
Where can I find alternatives to anything-llm or screenpipe?
GraphCanon lists graph-backed alternatives at anything-llm alternatives and screenpipe alternatives (anything-llm markdown twin, screenpipe markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, anything-llm or screenpipe?
anything-llm: Very active. screenpipe: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for anything-llm and screenpipe?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; screenpipe trust report.

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