Comparison
deep-research vs AutoGPT
Verdict
Pick deep-research if deep-research is an AI-powered research assistant that leverages search engines, web scraping, and large language models to conduct iterative and in-depth exploration of topics; pick AutoGPT if autoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options.
Markdown twin · deep-research alternatives · AutoGPT alternatives
GraphCanon updated Sep 20, 2026
12views this month
vs
Trust & integrity
| Signal | deep-research | AutoGPT |
|---|---|---|
| Maintenance | Slowing (129d since push) As of Aug 19, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Aug 19, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- deep-research
- An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.
- AutoGPT
- Accessible AI for everyone, providing tools for focus on what matters
Stars
- deep-research
- 20k
- AutoGPT
- 187k
Forks
- deep-research
- 2.0k
- AutoGPT
- 46k
Open issues
- deep-research
- 93
- AutoGPT
- 593
Language
- deep-research
- TypeScript
- AutoGPT
- Python
Adopt for
- deep-research
- Deep-research is an AI-powered research assistant that leverages search engines, web scraping, and large language models to conduct iterative and in-depth exploration of topics.
- AutoGPT
- AutoGPT is a platform for building and using autonomous AI agents, offering both self-hosting and managed service options.
Persona
- deep-research
- -
- AutoGPT
- -
Runtime
- deep-research
- -
- AutoGPT
- -
License
- deep-research
- MIT
- AutoGPT
- AutoGPT's `autogpt_platform/` component is licensed under Polyform Shield, which is free for personal and internal business use but cannot be sold as a competing hosted service. The `classic/` and all
Last pushed
- deep-research
- Apr 11, 2026
- AutoGPT
- Sep 18, 2026
Categories
- deep-research
- AI Agents, Data & Retrieval
- AutoGPT
- AI Agents, Developer Tools
Trust and health
Maintenance
- deep-research
- Slowing (36%)
- AutoGPT
- Very active (96%)
Days since push
- deep-research
- 129d
- AutoGPT
- 0d
Open issues (now)
- deep-research
- 93
- AutoGPT
- 593
Stars delta
- deep-research
- +195 (30d)
- AutoGPT
- +801 (30d)
Open issues delta
- deep-research
- +3 (30d)
- AutoGPT
- +76 (30d)
Owner type
- deep-research
- User
- AutoGPT
- Organization
OSV dependency advisories
- deep-research
- Published findings
- AutoGPT
- No lockfile (source not queried)
Full report
- deep-research
- Trust report
- AutoGPT
- Trust report
Typed relationship
deep-research alternative AutoGPTBoth deep-research and AutoGPT use large language models to execute tasks, including iterative research and decision making; they are alternatives in the AI agent domain.
Choose deep-research if…
- deep-research is primarily TypeScript; AutoGPT is Python.
- License: deep-research is MIT, AutoGPT is Other.
- Requirements: Requires Docker.
- Both deep-research and AutoGPT use large language models to execute tasks, including iterative research and decision making; they are alternatives in the AI agent domain.
- Tags unique to deep-research: agent, o3-mini, research.
- Also covers Data & Retrieval.
- deep-research ships Docker support for self-hosted deployment.
- When you need a tool that can refine its topic focus over time through repeated iterations.
When NOT to use deep-research
- When you prefer a language other than TypeScript, as deep-research specifically requires a Node.js environment.
- If your use case does not necessitate the use of both Firecrawl and OpenAI APIs, preferring instead solutions with more API flexibility or that do not require API keys.
Choose AutoGPT if…
- AutoGPT is primarily Python; deep-research is TypeScript.
- License: AutoGPT is Other, deep-research is MIT.
- Both deep-research and AutoGPT use large language models to execute tasks, including iterative research and decision making; they are alternatives in the AI agent domain.
- Tags unique to AutoGPT: agentic-ai, agents, artificial-intelligence, autonomous-agents.
- Also covers Developer Tools.
- When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers.
When NOT to use AutoGPT
- If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment.
- When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you.
- If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dzhng/deep-research) · observed Sep 20, 2026
- GitHub forks (dzhng/deep-research) · observed Sep 20, 2026
- Last push (dzhng/deep-research) · observed Apr 11, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Significant-Gravitas/AutoGPT) · observed Sep 20, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Sep 20, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Sep 18, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: deep-research 20k · AutoGPT 187k (synced Sep 20, 2026).
Common questions
- What is the difference between deep-research and AutoGPT?
- deep-research: An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.. AutoGPT: Accessible AI for everyone, providing tools for focus on what matters. See the comparison table for live GitHub stats and shared categories.
- When should I choose deep-research over AutoGPT?
- Choose deep-research over AutoGPT when deep-research is primarily TypeScript; AutoGPT is Python; License: deep-research is MIT, AutoGPT is Other; Requirements: Requires Docker; Both deep-research and AutoGPT use large language models to execute tasks, including iterative research and decision making; they are alternatives in the AI agent domain; Tags unique to deep-research: agent, o3-mini, research; Also covers Data & Retrieval; deep-research ships Docker support for self-hosted deployment; When you need a tool that can refine its topic focus over time through repeated iterations.
- When should I choose AutoGPT over deep-research?
- Choose AutoGPT over deep-research when AutoGPT is primarily Python; deep-research is TypeScript; License: AutoGPT is Other, deep-research is MIT; Both deep-research and AutoGPT use large language models to execute tasks, including iterative research and decision making; they are alternatives in the AI agent domain; Tags unique to AutoGPT: agentic-ai, agents, artificial-intelligence, autonomous-agents; Also covers Developer Tools; When you need full control over your infrastructure and data, as self-hosting allows you to run AutoGPT on your own servers.
- When should I avoid deep-research?
- When you prefer a language other than TypeScript, as deep-research specifically requires a Node.js environment. If your use case does not necessitate the use of both Firecrawl and OpenAI APIs, preferring instead solutions with more API flexibility or that do not require API keys.
- When should I avoid AutoGPT?
- If you require immediate setup without the need for infrastructure management, as the managed service option is more suitable for quick deployment. When you are looking for a fully managed solution with built-in model access, as the managed platform handles updates and operations for you. If you are seeking a paid plan with plan-dependent support, as the self-hosted option relies on community support.
- Is deep-research or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (187,424 vs 19,571). Stars measure visibility, not whether either tool fits your constraints.
- Are deep-research and AutoGPT open source?
- Yes - both are open-source projects on GitHub (deep-research: MIT, AutoGPT: Other).
- Where can I find alternatives to deep-research or AutoGPT?
- GraphCanon lists graph-backed alternatives at deep-research alternatives and AutoGPT alternatives (deep-research markdown twin, AutoGPT 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, deep-research or AutoGPT?
- deep-research: Slowing. AutoGPT: 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 deep-research and AutoGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deep-research trust report; AutoGPT trust report.