Home/Compare/hyv vs anything-llm

Comparison

hyv vs anything-llm

Verdict

Pick hyv when hyv is primarily TypeScript; anything-llm is JavaScript; pick anything-llm when anything-llm is primarily JavaScript; hyv is TypeScript.

Markdown twin · hyv alternatives · anything-llm alternatives

GraphCanon updated today

hyv logo

hyv

blib-la/hyv

24pushed Mar 3, 2024
vs
anything-llm logo

anything-llm

Mintplex-Labs/anything-llm

63kpushed Jul 11, 2026

Trust & integrity

Signalhyvanything-llm
Maintenance
Dormant (859d since push)
As of 1d · github_public_v1
Very active (0d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of 1d · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
No lockfile
As of 1d · none

Tagline

hyv
Chaining AI & API agents to streamline software development and achieve goals collaboratively.
anything-llm
Self-hosted agent experience with deployment scripts for multiple environments

Stars

hyv
24
anything-llm
63k

Forks

hyv
3
anything-llm
6.9k

Open issues

hyv
0
anything-llm
320

Language

hyv
TypeScript
anything-llm
JavaScript

Adopt for

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

Persona

hyv
-
anything-llm
-

Runtime

hyv
-
anything-llm
-

License

hyv
AGPL-3.0
anything-llm
MIT

Last pushed

hyv
Mar 3, 2024
anything-llm
Jul 11, 2026

Categories

hyv
AI Agents, LLM Frameworks
anything-llm
AI Agents, Inference & Serving

Trust and health

Maintenance

hyv
Dormant (18%)
anything-llm
Very active (96%)

Days since push

hyv
859d
anything-llm
0d

Open issues (now)

hyv
0
anything-llm
320

Full report

anything-llm
Trust report

Choose hyv if…

  • hyv is primarily TypeScript; anything-llm is JavaScript.
  • License: hyv is AGPL-3.0, anything-llm is MIT.
  • Tags unique to hyv: agents, ai, alpaca, artificial-intelligence.
  • Also covers LLM Frameworks.

When NOT to use hyv

  • Last GitHub push was 860 days ago (dormant maintenance, Mar 3, 2024). Validate activity before betting a new project on hyv.
  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Choose anything-llm if…

  • anything-llm is primarily JavaScript; hyv is TypeScript.
  • License: anything-llm is MIT, hyv is AGPL-3.0.
  • Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm.
  • Also covers Inference & Serving.
  • 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: hyv 24 · anything-llm 63k (synced Jul 11, 2026).

Common questions

What is the difference between hyv and anything-llm?
hyv: Chaining AI & API agents to streamline software development and achieve goals collaboratively.. 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 hyv over anything-llm?
Choose hyv over anything-llm when hyv is primarily TypeScript; anything-llm is JavaScript; License: hyv is AGPL-3.0, anything-llm is MIT; Tags unique to hyv: agents, ai, alpaca, artificial-intelligence; Also covers LLM Frameworks.
When should I choose anything-llm over hyv?
Choose anything-llm over hyv when anything-llm is primarily JavaScript; hyv is TypeScript; License: anything-llm is MIT, hyv is AGPL-3.0; Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm; Also covers Inference & Serving; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.
When should I avoid hyv?
Last GitHub push was 860 days ago (dormant maintenance, Mar 3, 2024). Validate activity before betting a new project on hyv. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
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 hyv or anything-llm more popular on GitHub?
anything-llm has more GitHub stars (63,100 vs 24). Stars measure visibility, not whether either tool fits your constraints.
Are hyv and anything-llm open source?
Yes - both are open-source projects on GitHub (hyv: AGPL-3.0, anything-llm: MIT).
Where can I find alternatives to hyv or anything-llm?
GraphCanon lists graph-backed alternatives at hyv alternatives and anything-llm alternatives (hyv 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, hyv or anything-llm?
hyv: Dormant. 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 hyv and anything-llm?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hyv trust report; anything-llm trust report.