Comparison
llm_agents vs AgentGPT
Verdict
Pick llm_agents if llm_agents is a Python library enabling users to build simple agents directed by large language models, featuring functions like executing Python code and using Google search; pick AgentGPT if agentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based.
Markdown twin · llm_agents alternatives · AgentGPT alternatives
GraphCanon updated 6d
vs
Trust & integrity
| Signal | llm_agents | AgentGPT |
|---|---|---|
| Maintenance | Dormant (418d since push) As of 6d · github_public_v1 | Archived (466d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 6d · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- llm_agents
- Library to build agents controlled by LLMs
- AgentGPT
- Assembler for autonomous AI Agents
Stars
- llm_agents
- 1.1k
- AgentGPT
- 36k
Forks
- llm_agents
- 85
- AgentGPT
- 9.3k
Open issues
- llm_agents
- 3
- AgentGPT
- 219
Language
- llm_agents
- Python
- AgentGPT
- TypeScript
Adopt for
- llm_agents
- llm_agents is a Python library enabling users to build simple agents directed by large language models, featuring functions like executing Python code and using Google search.
- AgentGPT
- AgentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects
Persona
- llm_agents
- -
- AgentGPT
- -
Runtime
- llm_agents
- -
- AgentGPT
- -
License
- llm_agents
- MIT
- AgentGPT
- GPL-3.0
Last pushed
- llm_agents
- Jun 23, 2025
- AgentGPT
- Apr 29, 2025
Categories
- llm_agents
- AI Agents
- AgentGPT
- AI Agents, Developer Tools
Trust and health
Maintenance
- llm_agents
- Dormant (18%)
- AgentGPT
- Archived (8%)
Days since push
- llm_agents
- 418d
- AgentGPT
- 466d
Archived on GitHub
- llm_agents
- No
- AgentGPT
- Yes
Open issues (now)
- llm_agents
- 3
- AgentGPT
- 219
Stars delta
- llm_agents
- +3 (30d)
- AgentGPT
- Unknown
Open issues delta
- llm_agents
- 0 (30d)
- AgentGPT
- Unknown
Owner type
- llm_agents
- User
- AgentGPT
- Organization
OSV dependency advisories
- llm_agents
- Published findings
- AgentGPT
- No lockfile (source not queried)
Full report
- llm_agents
- Trust report
- AgentGPT
- Trust report
Choose llm_agents if…
- llm_agents is primarily Python; AgentGPT is TypeScript.
- License: llm_agents is MIT, AgentGPT is GPL-3.0.
- Requirements: Min 1 GB RAM; Requires the installation of requirements specified by running `pip install -r requirements.txt` followed by `pip install -e .`.; Dependencies include setting up environment variables for `OPENAI_API_KEY` to use OpenAI API and optionally `SERPAPI_API_KEY` if Google search tool is utilized..
- Tags unique to llm_agents: deep-learning, langchain, llms, machine-learning.
- Use llm_agents when you require a lightweight solution for building agents controlled by LLMs with specific tools such as Python REPL execution or Hacker News search.
When NOT to use llm_agents
- Avoid llm_agents if you need a more robust and feature-rich product for complex tasks that require extensive integration capabilities beyond Python REPL, Google search, and Hacker News.
- Do not choose it when you are looking for advanced abstraction layers like those found in LangChain, as llm_agents aims to remain simple with fewer files and a straightforward core.
Choose AgentGPT if…
- AgentGPT is primarily TypeScript; llm_agents is Python.
- License: AgentGPT is GPL-3.0, llm_agents is MIT.
- Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup.
- Also covers Developer Tools.
- AgentGPT ships Docker support for self-hosted deployment.
- When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI
When NOT to use AgentGPT
- Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box
- Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (mpaepper/llm_agents) · observed Aug 15, 2026
- GitHub forks (mpaepper/llm_agents) · observed Aug 15, 2026
- Last push (mpaepper/llm_agents) · observed Jun 23, 2025
- License file (MIT) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (reworkd/AgentGPT) · observed Aug 8, 2026
- GitHub forks (reworkd/AgentGPT) · observed Aug 8, 2026
- Last push (reworkd/AgentGPT) · observed Apr 29, 2025
- License file (GPL-3.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: llm_agents 1.1k · AgentGPT 36k (synced Aug 15, 2026).
Common questions
- What is the difference between llm_agents and AgentGPT?
- llm_agents: Library to build agents controlled by LLMs. AgentGPT: Assembler for autonomous AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose llm_agents over AgentGPT?
- Choose llm_agents over AgentGPT when llm_agents is primarily Python; AgentGPT is TypeScript; License: llm_agents is MIT, AgentGPT is GPL-3.0; Requirements: Min 1 GB RAM; Requires the installation of requirements specified by running
pip install -r requirements.txtfollowed bypip install -e ..; Dependencies include setting up environment variables forOPENAI_API_KEYto use OpenAI API and optionallySERPAPI_API_KEYif Google search tool is utilized.; Tags unique to llm_agents: deep-learning, langchain, llms, machine-learning; Use llm_agents when you require a lightweight solution for building agents controlled by LLMs with specific tools such as Python REPL execution or Hacker News search. - When should I choose AgentGPT over llm_agents?
- Choose AgentGPT over llm_agents when AgentGPT is primarily TypeScript; llm_agents is Python; License: AgentGPT is GPL-3.0, llm_agents is MIT; Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup; Also covers Developer Tools; AgentGPT ships Docker support for self-hosted deployment; When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI.
- When should I avoid llm_agents?
- Avoid llm_agents if you need a more robust and feature-rich product for complex tasks that require extensive integration capabilities beyond Python REPL, Google search, and Hacker News. Do not choose it when you are looking for advanced abstraction layers like those found in LangChain, as llm_agents aims to remain simple with fewer files and a straightforward core.
- When should I avoid AgentGPT?
- Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment
- Is llm_agents or AgentGPT more popular on GitHub?
- AgentGPT has more GitHub stars (36,304 vs 1,053). Stars measure visibility, not whether either tool fits your constraints.
- Are llm_agents and AgentGPT open source?
- Yes - both are open-source projects on GitHub (llm_agents: MIT, AgentGPT: GPL-3.0).
- Where can I find alternatives to llm_agents or AgentGPT?
- GraphCanon lists graph-backed alternatives at llm_agents alternatives and AgentGPT alternatives (llm_agents markdown twin, AgentGPT 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, llm_agents or AgentGPT?
- llm_agents: Dormant. AgentGPT: Archived. 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 llm_agents and AgentGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm_agents trust report; AgentGPT trust report.