Comparison
anything-llm vs orloj
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 orloj if orloj is an orchestration runtime for multi-agent AI systems that schedules and executes agents defined in YAML files.
Markdown twin · anything-llm alternatives · orloj alternatives
GraphCanon updated Sep 20, 2026
Trust & integrity
| Signal | anything-llm | orloj |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 12, 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 12, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | Published findings As of Jul 15, 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
- orloj
- An orchestration runtime for multi-agent AI systems.
Stars
- anything-llm
- 66k
- orloj
- 121
Forks
- anything-llm
- 7.3k
- orloj
- 18
Open issues
- anything-llm
- 315
- orloj
- 39
Language
- anything-llm
- JavaScript
- orloj
- Go
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.
- orloj
- Orloj is an orchestration runtime for multi-agent AI systems that schedules and executes agents defined in YAML files.
Persona
- anything-llm
- -
- orloj
- -
Runtime
- anything-llm
- -
- orloj
- -
License
- anything-llm
- MIT License, allowing for free use, modification, and distribution.
- orloj
- Apache-2.0 - The Apache License, Version 2.0 grants permission to use, study, change, and distribute the software -- commercially or non-commercially.
Last pushed
- anything-llm
- Sep 17, 2026
- orloj
- Sep 11, 2026
Categories
- anything-llm
- AI Agents, Developer Tools, Inference & Serving
- orloj
- AI Agents, Developer Tools
Trust and health
Open issues (now)
- anything-llm
- 315
- orloj
- 39
Stars delta
- anything-llm
- +1.5k (30d)
- orloj
- +8 (30d)
Open issues delta
- anything-llm
- -4 (30d)
- orloj
- +1 (30d)
OSV dependency advisories
- anything-llm
- No lockfile (source not queried)
- orloj
- Published findings
Full report
- anything-llm
- Trust report
- orloj
- Trust report
Choose anything-llm if…
- anything-llm is primarily JavaScript; orloj is Go.
- License: anything-llm is MIT, orloj is Apache-2.0.
- 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-workflow.
- Also covers Inference & Serving.
- 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 orloj if…
- orloj is primarily Go; anything-llm is JavaScript.
- License: orloj is Apache-2.0, anything-llm is MIT.
- Requirements: The tool is designed with a strong emphasis on declarative system definitions and orchestration through YAML files..
- Tags unique to orloj: agent-framework, agentic-orchestration, ai-governance, declarative.
- orloj ships Docker support for self-hosted deployment.
- You need an orchestration service specifically designed for managing interactions among multiple AI agents where production-grade operation is critical.
When NOT to use orloj
- If your multi-agent system does not benefit from the YAML-based orchestration model or if you require a non-Go runtime environment.
- When governance functionalities for your AI systems are less critical as Orloj's governance capabilities might be overkill for simpler applications.
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 Sep 20, 2026
- GitHub forks (Mintplex-Labs/anything-llm) · observed Sep 20, 2026
- Last push (Mintplex-Labs/anything-llm) · observed Sep 17, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (OrlojHQ/orloj) · observed Sep 20, 2026
- GitHub forks (OrlojHQ/orloj) · observed Sep 20, 2026
- Last push (OrlojHQ/orloj) · observed Sep 11, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: anything-llm 66k · orloj 121 (synced Sep 20, 2026).
Common questions
- What is the difference between anything-llm and orloj?
- anything-llm: Self-hosted AI agent experience. orloj: An orchestration runtime for multi-agent AI systems.. See the comparison table for live GitHub stats and shared categories.
- When should I choose anything-llm over orloj?
- Choose anything-llm over orloj when anything-llm is primarily JavaScript; orloj is Go; License: anything-llm is MIT, orloj is Apache-2.0; 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-workflow; Also covers Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize.
- When should I choose orloj over anything-llm?
- Choose orloj over anything-llm when orloj is primarily Go; anything-llm is JavaScript; License: orloj is Apache-2.0, anything-llm is MIT; Requirements: The tool is designed with a strong emphasis on declarative system definitions and orchestration through YAML files.; Tags unique to orloj: agent-framework, agentic-orchestration, ai-governance, declarative; orloj ships Docker support for self-hosted deployment; You need an orchestration service specifically designed for managing interactions among multiple AI agents where production-grade operation is critical.
- 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 orloj?
- If your multi-agent system does not benefit from the YAML-based orchestration model or if you require a non-Go runtime environment. When governance functionalities for your AI systems are less critical as Orloj's governance capabilities might be overkill for simpler applications.
- Is anything-llm or orloj more popular on GitHub?
- anything-llm has more GitHub stars (66,167 vs 121). Stars measure visibility, not whether either tool fits your constraints.
- Are anything-llm and orloj open source?
- Yes - both are open-source projects on GitHub (anything-llm: MIT, orloj: Apache-2.0).
- Where can I find alternatives to anything-llm or orloj?
- GraphCanon lists graph-backed alternatives at anything-llm alternatives and orloj alternatives (anything-llm markdown twin, orloj 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 orloj?
- anything-llm: Very active. orloj: 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 orloj?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; orloj trust report.