Comparison
AgentGPT vs docetl
Verdict
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 interactions with their AI projects; pick docetl if docetl is an agentic system that employs large language models for data processing and ETL operations, specifically suited to handle unstructured.
Markdown twin · AgentGPT alternatives · docetl alternatives
GraphCanon updated Sep 20, 2026
15views this month
Trust & integrity
| Signal | AgentGPT | docetl |
|---|---|---|
| Maintenance | Archived (497d since push) As of Sep 8, 2026 · github_public_v1 | Active (9d since push) As of Sep 15, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 8, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 15, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 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
- AgentGPT
- Assembler for autonomous AI Agents
- docetl
- A system for agentic LLM-powered data processing and ETL
Stars
- AgentGPT
- 36k
- docetl
- 4.1k
Forks
- AgentGPT
- 9.3k
- docetl
- 443
Open issues
- AgentGPT
- 219
- docetl
- 45
Language
- AgentGPT
- TypeScript
- docetl
- Python
Adopt for
- 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
- docetl
- Docetl is an agentic system that employs large language models for data processing and ETL operations, specifically suited to handle unstructured document analysis tasks.
Persona
- AgentGPT
- -
- docetl
- -
Runtime
- AgentGPT
- -
- docetl
- -
License
- AgentGPT
- GPL-3.0
- docetl
- MIT
Last pushed
- AgentGPT
- Apr 29, 2025
- docetl
- Sep 5, 2026
Categories
- AgentGPT
- AI Agents, Developer Tools
- docetl
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- AgentGPT
- Archived (8%)
- docetl
- Active (82%)
Days since push
- AgentGPT
- 497d
- docetl
- 9d
Archived on GitHub
- AgentGPT
- Yes
- docetl
- No
Open issues (now)
- AgentGPT
- 219
- docetl
- 45
Stars delta
- AgentGPT
- -7 (30d)
- docetl
- +131 (30d)
Open issues delta
- AgentGPT
- 0 (30d)
- docetl
- +3 (30d)
Full report
- AgentGPT
- Trust report
- docetl
- Trust report
Choose AgentGPT if…
- AgentGPT is primarily TypeScript; docetl is Python.
- License: AgentGPT is GPL-3.0, docetl is MIT.
- Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup.
- Also covers Developer Tools.
- 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
Choose docetl if…
- docetl is primarily Python; AgentGPT is TypeScript.
- License: docetl is MIT, AgentGPT is GPL-3.0.
- Tags unique to docetl: agents, data, document-analysis, etl.
- Also covers Data & Retrieval.
- When you require integration with any LLM provider through API keys like OPENAI_API_KEY.
When NOT to use docetl
- If your project strictly requires low-latency processing for real-time applications, as Docetl's agentic approach might introduce higher latency due to backend API calls.
- In scenarios where the document datasets are predominantly structured or semi-structured, making traditional ETL tools more efficient.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (reworkd/AgentGPT) · observed Sep 20, 2026
- GitHub forks (reworkd/AgentGPT) · observed Sep 20, 2026
- Last push (reworkd/AgentGPT) · observed Apr 29, 2025
- License file (GPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ucbepic/docetl) · observed Sep 20, 2026
- GitHub forks (ucbepic/docetl) · observed Sep 20, 2026
- Last push (ucbepic/docetl) · observed Sep 5, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: AgentGPT 36k · docetl 4.1k (synced Sep 20, 2026).
Common questions
- What is the difference between AgentGPT and docetl?
- AgentGPT: Assembler for autonomous AI Agents. docetl: A system for agentic LLM-powered data processing and ETL. See the comparison table for live GitHub stats and shared categories.
- When should I choose AgentGPT over docetl?
- Choose AgentGPT over docetl when AgentGPT is primarily TypeScript; docetl is Python; License: AgentGPT is GPL-3.0, docetl is MIT; Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup; Also covers Developer Tools; When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI.
- When should I choose docetl over AgentGPT?
- Choose docetl over AgentGPT when docetl is primarily Python; AgentGPT is TypeScript; License: docetl is MIT, AgentGPT is GPL-3.0; Tags unique to docetl: agents, data, document-analysis, etl; Also covers Data & Retrieval; When you require integration with any LLM provider through API keys like OPENAI_API_KEY.
- 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
- When should I avoid docetl?
- If your project strictly requires low-latency processing for real-time applications, as Docetl's agentic approach might introduce higher latency due to backend API calls. In scenarios where the document datasets are predominantly structured or semi-structured, making traditional ETL tools more efficient.
- Is AgentGPT or docetl more popular on GitHub?
- AgentGPT has more GitHub stars (36,297 vs 4,092). Stars measure visibility, not whether either tool fits your constraints.
- Are AgentGPT and docetl open source?
- Yes - both are open-source projects on GitHub (AgentGPT: GPL-3.0, docetl: MIT).
- Where can I find alternatives to AgentGPT or docetl?
- GraphCanon lists graph-backed alternatives at AgentGPT alternatives and docetl alternatives (AgentGPT markdown twin, docetl 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, AgentGPT or docetl?
- AgentGPT: Archived. docetl: 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 AgentGPT and docetl?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AgentGPT trust report; docetl trust report.