Comparison
anything-llm vs llm_agents
Verdict
Pick anything-llm when anything-llm is primarily JavaScript; llm_agents is Python; pick llm_agents when llm_agents is primarily Python; anything-llm is JavaScript.
Markdown twin · anything-llm alternatives · llm_agents alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | anything-llm | llm_agents |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (382d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 32 low (32 low) As of today · osv@v1 |
Tagline
- anything-llm
- Self-hosted agent experience with deployment scripts for multiple environments
- llm_agents
- Build agents which are controlled by LLMs
Stars
- anything-llm
- 63k
- llm_agents
- 1.1k
Forks
- anything-llm
- 6.9k
- llm_agents
- 85
Open issues
- anything-llm
- 320
- llm_agents
- 3
Language
- anything-llm
- JavaScript
- llm_agents
- Python
Adopt for
- anything-llm
- Self-hosted AI agent experience with robust deployment scripts across multiple environments.
- llm_agents
- -
Persona
- anything-llm
- -
- llm_agents
- -
Runtime
- anything-llm
- -
- llm_agents
- -
License
- anything-llm
- MIT
- llm_agents
- MIT
Last pushed
- anything-llm
- Jul 11, 2026
- llm_agents
- Jun 23, 2025
Categories
- anything-llm
- AI Agents, Inference & Serving
- llm_agents
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- anything-llm
- Very active (96%)
- llm_agents
- Dormant (18%)
Days since push
- anything-llm
- 0d
- llm_agents
- 382d
Open issues (now)
- anything-llm
- 320
- llm_agents
- 3
Owner type
- anything-llm
- Organization
- llm_agents
- User
Security scan
- anything-llm
- No lockfile
- llm_agents
- 32 low (32 low)
Full report
- anything-llm
- Trust report
- llm_agents
- Trust report
Choose anything-llm if…
- anything-llm is primarily JavaScript; llm_agents is Python.
- Tags unique to anything-llm: no-code, llm, agentic-ai, agent-computer.
- 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 llm_agents if…
- llm_agents is primarily Python; anything-llm is JavaScript.
- Tags unique to llm_agents: llms, deep-learning, machine-learning, python.
- Also covers LLM Frameworks.
When NOT to use llm_agents
- Last GitHub push was 383 days ago (dormant maintenance, Jun 23, 2025). Validate activity before betting a new project on llm_agents.
- 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.
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 (mpaepper/llm_agents) · observed Jul 11, 2026
- GitHub forks (mpaepper/llm_agents) · observed Jul 11, 2026
- Last push (mpaepper/llm_agents) · observed Jun 23, 2025
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: anything-llm 63k · llm_agents 1.1k (synced Jul 11, 2026).
Common questions
- What is the difference between anything-llm and llm_agents?
- anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. llm_agents: Build agents which are controlled by LLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose anything-llm over llm_agents?
- Choose anything-llm over llm_agents when anything-llm is primarily JavaScript; llm_agents is Python; Tags unique to anything-llm: no-code, llm, agentic-ai, agent-computer; 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 llm_agents over anything-llm?
- Choose llm_agents over anything-llm when llm_agents is primarily Python; anything-llm is JavaScript; Tags unique to llm_agents: llms, deep-learning, machine-learning, python; Also covers LLM Frameworks.
- 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 llm_agents?
- Last GitHub push was 383 days ago (dormant maintenance, Jun 23, 2025). Validate activity before betting a new project on llm_agents. 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.
- Is anything-llm or llm_agents more popular on GitHub?
- anything-llm has more GitHub stars (63,100 vs 1,050). Stars measure visibility, not whether either tool fits your constraints.
- Are anything-llm and llm_agents open source?
- Yes - both are open-source projects on GitHub (anything-llm: MIT, llm_agents: MIT).
- Where can I find alternatives to anything-llm or llm_agents?
- GraphCanon lists graph-backed alternatives at anything-llm alternatives and llm_agents alternatives (anything-llm markdown twin, llm_agents 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 llm_agents?
- anything-llm: Very active. llm_agents: Dormant. 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 llm_agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; llm_agents trust report.