Comparison
anything-llm vs one
Verdict
Pick anything-llm when license: anything-llm is MIT, one is Apache-2.0; pick one when license: one is Apache-2.0, anything-llm is MIT.
Markdown twin · anything-llm alternatives · one alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | anything-llm | one |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4d · github_public_v1 | Very active (1d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 4d · osv@v1 | No lockfile (source not queried) As of today · 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 agent experience with deployment scripts for multiple environments
- one
- The open source Cloud & Edge Computing Platform bringing real freedom to your Enterprise Cloud 🚀
Stars
- anything-llm
- 63k
- one
- 1.7k
Forks
- anything-llm
- 6.9k
- one
- 526
Open issues
- anything-llm
- 320
- one
- 756
Language
- anything-llm
- JavaScript
- one
- JavaScript
Adopt for
- anything-llm
- Self-hosted AI agent experience with robust deployment scripts across multiple environments.
- one
- -
Persona
- anything-llm
- -
- one
- -
Runtime
- anything-llm
- -
- one
- -
License
- anything-llm
- MIT
- one
- Apache-2.0
Last pushed
- anything-llm
- Jul 11, 2026
- one
- Jul 14, 2026
Categories
- anything-llm
- AI Agents, Inference & Serving
- one
- AI Agents
Trust and health
Days since push
- anything-llm
- 0d
- one
- 1d
Open issues (now)
- anything-llm
- 320
- one
- 756
Full report
- anything-llm
- Trust report
- one
- Trust report
Choose anything-llm if…
- License: anything-llm is MIT, one is Apache-2.0.
- 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.
Choose one if…
- License: one is Apache-2.0, anything-llm is MIT.
- Tags unique to one: cloud, kvm, lxc, open-source.
- More recently updated (last pushed Jul 14, 2026).
When NOT to use one
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- GitHub forks (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- Last push (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (OpenNebula/one) · observed Jul 15, 2026
- GitHub forks (OpenNebula/one) · observed Jul 15, 2026
- Last push (OpenNebula/one) · observed Jul 14, 2026
- License file (Apache-2.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: anything-llm 63k · one 1.7k (synced Jul 11, 2026).
Common questions
- What is the difference between anything-llm and one?
- anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. one: The open source Cloud & Edge Computing Platform bringing real freedom to your Enterprise Cloud 🚀. See the comparison table for live GitHub stats and shared categories.
- When should I choose anything-llm over one?
- Choose anything-llm over one when License: anything-llm is MIT, one is Apache-2.0; 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 choose one over anything-llm?
- Choose one over anything-llm when License: one is Apache-2.0, anything-llm is MIT; Tags unique to one: cloud, kvm, lxc, open-source; More recently updated (last pushed Jul 14, 2026).
- 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.
- When should I avoid one?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Is anything-llm or one more popular on GitHub?
- anything-llm has more GitHub stars (63,100 vs 1,715). Stars measure visibility, not whether either tool fits your constraints.
- Are anything-llm and one open source?
- Yes - both are open-source projects on GitHub (anything-llm: MIT, one: Apache-2.0).
- Where can I find alternatives to anything-llm or one?
- GraphCanon lists graph-backed alternatives at anything-llm alternatives and one alternatives (anything-llm markdown twin, one 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 one?
- anything-llm: Very active. one: 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 one?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; one trust report.