Home/Compare/agentos vs anything-llm

Comparison

agentos vs anything-llm

Verdict

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

Markdown twin · agentos alternatives · anything-llm alternatives

GraphCanon updated today

agentos logo

agentos

framerslab/agentos

591pushed Jul 11, 2026
vs
anything-llm logo

anything-llm

Mintplex-Labs/anything-llm

63kpushed Jul 11, 2026

Trust & integrity

Signalagentosanything-llm
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization 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

agentos
TypeScript AI agent framework: cognitive memory, runtime tool forging, multi-agent orchestration, 11 LLM providers.
anything-llm
Self-hosted agent experience with deployment scripts for multiple environments

Stars

agentos
591
anything-llm
63k

Forks

agentos
88
anything-llm
6.9k

Open issues

agentos
6
anything-llm
320

Language

agentos
TypeScript
anything-llm
JavaScript

Adopt for

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

Persona

agentos
-
anything-llm
-

Runtime

agentos
-
anything-llm
-

License

agentos
Apache-2.0
anything-llm
MIT

Last pushed

agentos
Jul 11, 2026
anything-llm
Jul 11, 2026

Categories

agentos
AI Agents, Vector Databases, LLM Frameworks
anything-llm
AI Agents, Inference & Serving

Trust and health

Open issues (now)

agentos
6
anything-llm
320

Full report

anything-llm
Trust report

Choose agentos if…

  • agentos is primarily TypeScript; anything-llm is JavaScript.
  • License: agentos is Apache-2.0, anything-llm is MIT.
  • Tags unique to agentos: ai-agent-framework, agent-framework, emergent-behavior, autonomous-agents.
  • Also covers Vector Databases, LLM Frameworks.

When NOT to use agentos

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
  • 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; agentos is TypeScript.
  • License: anything-llm is MIT, agentos is Apache-2.0.
  • Tags unique to anything-llm: no-code, llm, agent-computer, local-ai.
  • 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: agentos 591 · anything-llm 63k (synced Jul 11, 2026).

Common questions

What is the difference between agentos and anything-llm?
agentos: TypeScript AI agent framework: cognitive memory, runtime tool forging, multi-agent orchestration, 11 LLM providers.. 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 agentos over anything-llm?
Choose agentos over anything-llm when agentos is primarily TypeScript; anything-llm is JavaScript; License: agentos is Apache-2.0, anything-llm is MIT; Tags unique to agentos: ai-agent-framework, agent-framework, emergent-behavior, autonomous-agents; Also covers Vector Databases, LLM Frameworks.
When should I choose anything-llm over agentos?
Choose anything-llm over agentos when anything-llm is primarily JavaScript; agentos is TypeScript; License: anything-llm is MIT, agentos is Apache-2.0; Tags unique to anything-llm: no-code, llm, agent-computer, local-ai; 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 agentos?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. 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 agentos or anything-llm more popular on GitHub?
anything-llm has more GitHub stars (63,100 vs 591). Stars measure visibility, not whether either tool fits your constraints.
Are agentos and anything-llm open source?
Yes - both are open-source projects on GitHub (agentos: Apache-2.0, anything-llm: MIT).
Where can I find alternatives to agentos or anything-llm?
GraphCanon lists graph-backed alternatives at agentos alternatives and anything-llm alternatives (agentos 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, agentos or anything-llm?
agentos: Very active. 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 agentos and anything-llm?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentos trust report; anything-llm trust report.