Home/Compare/search vs anything-llm

Comparison

search vs anything-llm

Verdict

Pick search when search is primarily Go; anything-llm is JavaScript; pick anything-llm when anything-llm is primarily JavaScript; search is Go.

Markdown twin · search alternatives · anything-llm alternatives

GraphCanon updated today

search logo

search

kelindar/search

554pushed Mar 6, 2026
vs
anything-llm logo

anything-llm

Mintplex-Labs/anything-llm

63kpushed Jul 11, 2026

Trust & integrity

Signalsearchanything-llm
Maintenance
Slowing (126d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

search
Go library for embedded vector search and semantic embeddings using llama.cpp
anything-llm
Self-hosted agent experience with deployment scripts for multiple environments

Stars

search
554
anything-llm
63k

Forks

search
24
anything-llm
6.9k

Open issues

search
5
anything-llm
320

Language

search
Go
anything-llm
JavaScript

Adopt for

search
-
anything-llm
Self-hosted AI agent experience with robust deployment scripts across multiple environments.

Persona

search
-
anything-llm
-

Runtime

search
-
anything-llm
-

License

search
MIT
anything-llm
MIT

Last pushed

search
Mar 6, 2026
anything-llm
Jul 11, 2026

Categories

search
Vector Databases, Inference & Serving
anything-llm
AI Agents, Inference & Serving

Trust and health

Maintenance

search
Slowing (36%)
anything-llm
Very active (96%)

Days since push

search
126d
anything-llm
0d

Open issues (now)

search
5
anything-llm
320

Owner type

search
User
anything-llm
Organization

Full report

anything-llm
Trust report

Choose search if…

  • search is primarily Go; anything-llm is JavaScript.
  • Tags unique to search: bert, embeddings, gpu, ai.
  • Also covers Vector Databases.

When NOT to use search

  • Last GitHub push was 127 days ago (slowing maintenance, Mar 6, 2026). Validate activity before betting a new project on search.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Choose anything-llm if…

  • anything-llm is primarily JavaScript; search is Go.
  • Tags unique to anything-llm: no-code, llm, agentic-ai, agent-computer.
  • Also covers AI Agents.
  • When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.

When NOT to use anything-llm

  • Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments.
  • Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.

Explore

Sources

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

GitHub stars on cards: search 554 · anything-llm 63k (synced Jul 11, 2026).

Common questions

What is the difference between search and anything-llm?
search: Go library for embedded vector search and semantic embeddings using llama.cpp. anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. See the comparison table for live GitHub stats and shared categories.
When should I choose search over anything-llm?
Choose search over anything-llm when search is primarily Go; anything-llm is JavaScript; Tags unique to search: bert, embeddings, gpu, ai; Also covers Vector Databases.
When should I choose anything-llm over search?
Choose anything-llm over search when anything-llm is primarily JavaScript; search is Go; Tags unique to anything-llm: no-code, llm, agentic-ai, agent-computer; Also covers AI Agents; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.
When should I avoid search?
Last GitHub push was 127 days ago (slowing maintenance, Mar 6, 2026). Validate activity before betting a new project on search. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
When should I avoid anything-llm?
Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.
Is search or anything-llm more popular on GitHub?
anything-llm has more GitHub stars (63,100 vs 554). Stars measure visibility, not whether either tool fits your constraints.
Are search and anything-llm open source?
Yes - both are open-source projects on GitHub (search: MIT, anything-llm: MIT).
Where can I find alternatives to search or anything-llm?
GraphCanon lists graph-backed alternatives at search alternatives and anything-llm alternatives (search markdown twin, anything-llm 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, search or anything-llm?
search: Slowing. anything-llm: 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 search and anything-llm?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: search trust report; anything-llm trust report.