Comparison
anything-llm vs shell_gpt
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 shell_gpt if shellGPT is an AI-driven CLI utility using LLMs for task efficiency with OpenAI support.
Markdown twin · anything-llm alternatives · shell_gpt alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | anything-llm | shell_gpt |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Steady (79d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) 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
- shell_gpt
- A command-line productivity tool powered by AI large language models
Stars
- anything-llm
- 66k
- shell_gpt
- 12k
Forks
- anything-llm
- 7.3k
- shell_gpt
- 977
Open issues
- anything-llm
- 315
- shell_gpt
- 121
Language
- anything-llm
- JavaScript
- shell_gpt
- Python
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.
- shell_gpt
- ShellGPT is an AI-driven CLI utility using LLMs for task efficiency with OpenAI support.
Persona
- anything-llm
- -
- shell_gpt
- -
Runtime
- anything-llm
- -
- shell_gpt
- -
License
- anything-llm
- MIT License, allowing for free use, modification, and distribution.
- shell_gpt
- MIT
Last pushed
- anything-llm
- Sep 17, 2026
- shell_gpt
- Jul 2, 2026
Categories
- anything-llm
- AI Agents, Developer Tools, Inference & Serving
- shell_gpt
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- anything-llm
- Very active (96%)
- shell_gpt
- Steady (60%)
Days since push
- anything-llm
- 0d
- shell_gpt
- 79d
Open issues (now)
- anything-llm
- 315
- shell_gpt
- 121
Stars delta
- anything-llm
- +1.5k (30d)
- shell_gpt
- +52 (30d)
Open issues delta
- anything-llm
- -4 (30d)
- shell_gpt
- +3 (30d)
Owner type
- anything-llm
- Organization
- shell_gpt
- User
Full report
- anything-llm
- Trust report
- shell_gpt
- Trust report
Choose anything-llm if…
- anything-llm is primarily JavaScript; shell_gpt is Python.
- 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-ai.
- Also covers AI Agents, Developer Tools.
- 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 shell_gpt if…
- shell_gpt is primarily Python; anything-llm is JavaScript.
- Tags unique to shell_gpt: chatgpt, cli, commands, productivity.
- Also covers LLM Frameworks.
- shell_gpt ships Docker support for self-hosted deployment.
- When requiring integration with the OpenAI API for advanced CLI tasks
When NOT to use shell_gpt
- Avoid if seeking a tool optimized for local-only models like Ollama, which are not fully supported
- Not ideal for those aiming to avoid costs associated with the OpenAI API usage fees
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 (TheR1D/shell_gpt) · observed Sep 20, 2026
- GitHub forks (TheR1D/shell_gpt) · observed Sep 20, 2026
- Last push (TheR1D/shell_gpt) · observed Jul 2, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: anything-llm 66k · shell_gpt 12k (synced Sep 20, 2026).
Common questions
- What is the difference between anything-llm and shell_gpt?
- anything-llm: Self-hosted AI agent experience. shell_gpt: A command-line productivity tool powered by AI large language models. See the comparison table for live GitHub stats and shared categories.
- When should I choose anything-llm over shell_gpt?
- Choose anything-llm over shell_gpt when anything-llm is primarily JavaScript; shell_gpt is Python; 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-ai; Also covers AI Agents, Developer Tools; When you need a local-first AI agent experience that you can fully control and customize.
- When should I choose shell_gpt over anything-llm?
- Choose shell_gpt over anything-llm when shell_gpt is primarily Python; anything-llm is JavaScript; Tags unique to shell_gpt: chatgpt, cli, commands, productivity; Also covers LLM Frameworks; shell_gpt ships Docker support for self-hosted deployment; When requiring integration with the OpenAI API for advanced CLI tasks.
- 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 shell_gpt?
- Avoid if seeking a tool optimized for local-only models like Ollama, which are not fully supported Not ideal for those aiming to avoid costs associated with the OpenAI API usage fees
- Is anything-llm or shell_gpt more popular on GitHub?
- anything-llm has more GitHub stars (66,167 vs 12,287). Stars measure visibility, not whether either tool fits your constraints.
- Are anything-llm and shell_gpt open source?
- Yes - both are open-source projects on GitHub (anything-llm: MIT, shell_gpt: MIT).
- Where can I find alternatives to anything-llm or shell_gpt?
- GraphCanon lists graph-backed alternatives at anything-llm alternatives and shell_gpt alternatives (anything-llm markdown twin, shell_gpt 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 shell_gpt?
- anything-llm: Very active. shell_gpt: Steady. 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 shell_gpt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; shell_gpt trust report.