Comparison
deepteam vs ai-berkshire
Verdict
Pick deepteam if deepTeam is a tool to assess security and safety in LLMs and AI agents through an implementation of guardrails; pick ai-berkshire if ai-berkshire implements a unique approach to value investing research through AI agents powered by Claude Code/Codex, inspired by the methodologies of Warren Buffett and Charlie Munger amongst other investors. The tool's.
Markdown twin · deepteam alternatives · ai-berkshire alternatives
GraphCanon updated Sep 20, 2026
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Trust & integrity
| Signal | deepteam | ai-berkshire |
|---|---|---|
| Maintenance | Active (23d since push) As of Sep 13, 2026 · github_public_v1 | Very active (0d 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 Jul 11, 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
- ai-berkshire
- AI-era Berkshire: a value investing research framework utilizing Claude Code / Codex with methodologies from Warren Buffett, Charlie Munger among others and multi-Agent adversarial analysis.
Stars
- deepteam
- 2.8k
- ai-berkshire
- 16k
Forks
- deepteam
- 449
- ai-berkshire
- 2.5k
Open issues
- deepteam
- 64
- ai-berkshire
- 39
Language
- deepteam
- Python
- ai-berkshire
- HTML
Adopt for
- deepteam
- DeepTeam is a tool to assess security and safety in LLMs and AI agents through an implementation of guardrails.
- ai-berkshire
- ai-berkshire implements a unique approach to value investing research through AI agents powered by Claude Code/Codex, inspired by the methodologies of Warren Buffett and Charlie Munger amongst other investors. The tool's
Persona
- deepteam
- -
- ai-berkshire
- -
Runtime
- deepteam
- -
- ai-berkshire
- -
License
- deepteam
- Apache-2.0
- ai-berkshire
- MIT
Last pushed
- deepteam
- Aug 21, 2026
- ai-berkshire
- Sep 19, 2026
Categories
- deepteam
- Evaluation & Observability
- ai-berkshire
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- deepteam
- Active (82%)
- ai-berkshire
- Very active (96%)
Days since push
- deepteam
- 23d
- ai-berkshire
- 0d
Open issues (now)
- deepteam
- 64
- ai-berkshire
- 39
Stars delta
- deepteam
- +388 (30d)
- ai-berkshire
- +2.3k (30d)
Open issues delta
- deepteam
- +11 (30d)
- ai-berkshire
- +10 (30d)
Owner type
- deepteam
- Organization
- ai-berkshire
- User
Full report
- deepteam
- Trust report
- ai-berkshire
- Trust report
Choose deepteam if…
- deepteam is primarily Python; ai-berkshire is HTML.
- License: deepteam is Apache-2.0, ai-berkshire 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 ai-berkshire if…
- ai-berkshire is primarily HTML; deepteam is Python.
- License: ai-berkshire is MIT, deepteam is Apache-2.0.
- Tags unique to ai-berkshire: ai, financial-analysis, investment-research, portfolio-management.
- Also covers AI Agents.
- You need to leverage multi-Agent adversarial analysis for deep fundamental stock market assessment aligned with renowned investor philosophies.
When NOT to use ai-berkshire
- If your investment research requires real-time trading data or dynamic algorithmic trading strategies which are not the tool's expertise.
- When you prefer a more manual or traditional approach to value investing that does not integrate AI-driven adversarial agent methodologies.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (confident-ai/deepteam) · observed Sep 20, 2026
- GitHub forks (confident-ai/deepteam) · observed Sep 20, 2026
- Last push (confident-ai/deepteam) · observed Aug 21, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (xbtlin/ai-berkshire) · observed Sep 20, 2026
- GitHub forks (xbtlin/ai-berkshire) · observed Sep 20, 2026
- Last push (xbtlin/ai-berkshire) · observed Sep 19, 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 on cards: deepteam 2.8k · ai-berkshire 16k (synced Sep 20, 2026).
Common questions
- What is the difference between deepteam and ai-berkshire?
- deepteam: Framework to red team LLMs and AI agents. ai-berkshire: AI-era Berkshire: a value investing research framework utilizing Claude Code / Codex with methodologies from Warren Buffett, Charlie Munger among others and multi-Agent adversarial analysis.. See the comparison table for live GitHub stats and shared categories.
- When should I choose deepteam over ai-berkshire?
- Choose deepteam over ai-berkshire when deepteam is primarily Python; ai-berkshire is HTML; License: deepteam is Apache-2.0, ai-berkshire 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 ai-berkshire over deepteam?
- Choose ai-berkshire over deepteam when ai-berkshire is primarily HTML; deepteam is Python; License: ai-berkshire is MIT, deepteam is Apache-2.0; Tags unique to ai-berkshire: ai, financial-analysis, investment-research, portfolio-management; Also covers AI Agents; You need to leverage multi-Agent adversarial analysis for deep fundamental stock market assessment aligned with renowned investor philosophies.
- 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 ai-berkshire?
- If your investment research requires real-time trading data or dynamic algorithmic trading strategies which are not the tool's expertise. When you prefer a more manual or traditional approach to value investing that does not integrate AI-driven adversarial agent methodologies.
- Is deepteam or ai-berkshire more popular on GitHub?
- ai-berkshire has more GitHub stars (16,451 vs 2,789). Stars measure visibility, not whether either tool fits your constraints.
- Are deepteam and ai-berkshire open source?
- Yes - both are open-source projects on GitHub (deepteam: Apache-2.0, ai-berkshire: MIT).
- Where can I find alternatives to deepteam or ai-berkshire?
- GraphCanon lists graph-backed alternatives at deepteam alternatives and ai-berkshire alternatives (deepteam markdown twin, ai-berkshire 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 ai-berkshire?
- deepteam: Active. ai-berkshire: 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 ai-berkshire?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deepteam trust report; ai-berkshire trust report.