Home/Compare/deepteam vs Auto-claude-code-research-in-sleep

Comparison

deepteam vs Auto-claude-code-research-in-sleep

Verdict

Pick deepteam if deepTeam is a tool to assess security and safety in LLMs and AI agents through an implementation of guardrails; pick Auto-claude-code-research-in-sleep if auto-claude-code-research-in-sleep provides specialized Markdown-based utilities for automating and enhancing autonomous ML research by connecting various models in an open framework.

Markdown twin · deepteam alternatives · Auto-claude-code-research-in-sleep alternatives

GraphCanon updated Sep 20, 2026

10views this month

deepteam logo

deepteam

confident-ai/deepteam

2.8kpushed Aug 21, 2026
vs
Auto-claude-code-research-in-sleep logo

Auto-claude-code-research-in-sleep

wanshuiyin/Auto-claude-code-research-in-sleep

16kpushed Sep 18, 2026

Trust & integrity

SignaldeepteamAuto-claude-code-research-in-sleep
Maintenance
Active (23d since push)
As of Sep 13, 2026 · github_public_v1
Very active (1d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 13, 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 Jul 15, 2026 · osv@v1
No lockfile (source not queried)
As of Aug 23, 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

deepteam
Framework to red team LLMs and AI agents
Auto-claude-code-research-in-sleep
Lightweight Markdown-only skills for autonomous ML research

Stars

deepteam
2.8k
Auto-claude-code-research-in-sleep
16k

Forks

deepteam
449
Auto-claude-code-research-in-sleep
1.4k

Open issues

deepteam
64
Auto-claude-code-research-in-sleep
70

Language

deepteam
Python
Auto-claude-code-research-in-sleep
Python

Adopt for

deepteam
DeepTeam is a tool to assess security and safety in LLMs and AI agents through an implementation of guardrails.
Auto-claude-code-research-in-sleep
Auto-claude-code-research-in-sleep provides specialized Markdown-based utilities for automating and enhancing autonomous ML research by connecting various models in an open framework.

Persona

deepteam
-
Auto-claude-code-research-in-sleep
-

Runtime

deepteam
-
Auto-claude-code-research-in-sleep
-

License

deepteam
Apache-2.0
Auto-claude-code-research-in-sleep
MIT License, allowing for broad usage without restrictions on commercial use.

Last pushed

deepteam
Aug 21, 2026
Auto-claude-code-research-in-sleep
Sep 18, 2026

Categories

deepteam
Evaluation & Observability
Auto-claude-code-research-in-sleep
AI Agents, Developer Tools, Evaluation & Observability

Trust and health

Maintenance

deepteam
Active (82%)
Auto-claude-code-research-in-sleep
Very active (96%)

Days since push

deepteam
23d
Auto-claude-code-research-in-sleep
1d

Open issues (now)

deepteam
64
Auto-claude-code-research-in-sleep
70

Stars delta

deepteam
+388 (30d)
Auto-claude-code-research-in-sleep
+2.5k (30d)

Open issues delta

deepteam
+11 (30d)
Auto-claude-code-research-in-sleep
+10 (30d)

Owner type

deepteam
Organization
Auto-claude-code-research-in-sleep
User

Full report

deepteam
Trust report
Auto-claude-code-research-in-sleep
Trust report

Choose deepteam if…

  • License: deepteam is Apache-2.0, Auto-claude-code-research-in-sleep is MIT.
  • Pricing: Free to use and modify under the terms of its Apache 2.0 license, encouraging community contribution and adaptation.
  • Requirements: Min 4 GB RAM; Requires a Python environment.; No Docker required for operation..
  • Tags unique to deepteam: apache 2.0, llm-guardrails, llm-red-teaming, llm-safety.
  • When you need a framework specifically designed for red-teaming large language models and AI agents under the Apache-2.0 license.

When NOT to use deepteam

  • If your team requires proprietary or more restrictive licensing conditions, given DeepTeam operates under an open-source Apache-2.0 license.
  • When you are working with non-Python programming environments as DeepTeam is only supported in Python.

Choose Auto-claude-code-research-in-sleep if…

  • License: Auto-claude-code-research-in-sleep is MIT, deepteam is Apache-2.0.
  • Pricing: Free to use under MIT license with no explicit pricing model indicated, though users might incur costs based on the AI models and services they choose to integrate..
  • Requirements: Compatibility with diverse language model agents without requiring lock-in or specific frameworks; Utilizes Markdown for skills, aiming at a lightweight automation layer on top of ML research tasks.
  • Tags unique to Auto-claude-code-research-in-sleep: ai research, autonomous-agent, idea-generation, ml-research.
  • Also covers AI Agents, Developer Tools.
  • When you are looking to streamline idea discovery, experiment automation, and cross-model review loops specifically within the context of Python programming for machine learning research

When NOT to use Auto-claude-code-research-in-sleep

  • If you require a solution that is tightly integrated with a specific AI development platform or requires the use of proprietary models
  • When your research workflow demands real-time data analysis and visualization tools that Auto-claude-code-research-in-sleep does not directly support

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: deepteam 2.8k · Auto-claude-code-research-in-sleep 16k (synced Sep 20, 2026).

Common questions

What is the difference between deepteam and Auto-claude-code-research-in-sleep?
deepteam: Framework to red team LLMs and AI agents. Auto-claude-code-research-in-sleep: Lightweight Markdown-only skills for autonomous ML research. See the comparison table for live GitHub stats and shared categories.
When should I choose deepteam over Auto-claude-code-research-in-sleep?
Choose deepteam over Auto-claude-code-research-in-sleep when License: deepteam is Apache-2.0, Auto-claude-code-research-in-sleep is MIT; Pricing: Free to use and modify under the terms of its Apache 2.0 license, encouraging community contribution and adaptation; Requirements: Min 4 GB RAM; Requires a Python environment.; No Docker required for operation.; Tags unique to deepteam: apache 2.0, llm-guardrails, llm-red-teaming, llm-safety; When you need a framework specifically designed for red-teaming large language models and AI agents under the Apache-2.0 license.
When should I choose Auto-claude-code-research-in-sleep over deepteam?
Choose Auto-claude-code-research-in-sleep over deepteam when License: Auto-claude-code-research-in-sleep is MIT, deepteam is Apache-2.0; Pricing: Free to use under MIT license with no explicit pricing model indicated, though users might incur costs based on the AI models and services they choose to integrate.; Requirements: Compatibility with diverse language model agents without requiring lock-in or specific frameworks; Utilizes Markdown for skills, aiming at a lightweight automation layer on top of ML research tasks; Tags unique to Auto-claude-code-research-in-sleep: ai research, autonomous-agent, idea-generation, ml-research; Also covers AI Agents, Developer Tools; When you are looking to streamline idea discovery, experiment automation, and cross-model review loops specifically within the context of Python programming for machine learning research.
When should I avoid deepteam?
If your team requires proprietary or more restrictive licensing conditions, given DeepTeam operates under an open-source Apache-2.0 license. When you are working with non-Python programming environments as DeepTeam is only supported in Python.
When should I avoid Auto-claude-code-research-in-sleep?
If you require a solution that is tightly integrated with a specific AI development platform or requires the use of proprietary models When your research workflow demands real-time data analysis and visualization tools that Auto-claude-code-research-in-sleep does not directly support
Is deepteam or Auto-claude-code-research-in-sleep more popular on GitHub?
Auto-claude-code-research-in-sleep has more GitHub stars (16,383 vs 2,789). Stars measure visibility, not whether either tool fits your constraints.
Are deepteam and Auto-claude-code-research-in-sleep open source?
Yes - both are open-source projects on GitHub (deepteam: Apache-2.0, Auto-claude-code-research-in-sleep: MIT).
Where can I find alternatives to deepteam or Auto-claude-code-research-in-sleep?
GraphCanon lists graph-backed alternatives at deepteam alternatives and Auto-claude-code-research-in-sleep alternatives (deepteam markdown twin, Auto-claude-code-research-in-sleep 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, deepteam or Auto-claude-code-research-in-sleep?
deepteam: Active. Auto-claude-code-research-in-sleep: 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 deepteam and Auto-claude-code-research-in-sleep?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deepteam trust report; Auto-claude-code-research-in-sleep trust report.

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