Comparison
autogen vs ai-berkshire
Verdict
Pick autogen if autoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models; 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.
Markdown twin · autogen alternatives · ai-berkshire alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | autogen | ai-berkshire |
|---|---|---|
| Maintenance | Slowing (107d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- autogen
- A programming framework for agentic AI
- 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
- autogen
- 60k
- ai-berkshire
- 14k
Forks
- autogen
- 9.1k
- ai-berkshire
- 2.0k
Open issues
- autogen
- 970
- ai-berkshire
- 29
Language
- autogen
- Python
- ai-berkshire
- Python
Adopt for
- autogen
- AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models.
- 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
- autogen
- -
- ai-berkshire
- -
Runtime
- autogen
- -
- ai-berkshire
- -
License
- autogen
- CC-BY-4.0
- ai-berkshire
- MIT
Last pushed
- autogen
- Apr 15, 2026
- ai-berkshire
- Jul 25, 2026
Categories
- autogen
- AI Agents, LLM Frameworks
- ai-berkshire
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- autogen
- Slowing (36%)
- ai-berkshire
- Very active (96%)
Days since push
- autogen
- 107d
- ai-berkshire
- 0d
Open issues (now)
- autogen
- 970
- ai-berkshire
- 29
Owner type
- autogen
- Organization
- ai-berkshire
- User
Full report
- autogen
- Trust report
- ai-berkshire
- Trust report
Choose autogen if…
- License: autogen is CC-BY-4.0, ai-berkshire is MIT.
- Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure..
- Tags unique to autogen: agentic-agi, agents, autogen, autogen-ecosystem.
- Also covers LLM Frameworks.
- You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
When NOT to use autogen
- If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework.
- When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited.
- You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities.
Choose ai-berkshire if…
- License: ai-berkshire is MIT, autogen is CC-BY-4.0.
- Tags unique to ai-berkshire: financial-analysis, investment-research, portfolio-management, stock-market.
- Also covers Evaluation & Observability.
- 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 (microsoft/autogen) · observed Aug 1, 2026
- GitHub forks (microsoft/autogen) · observed Aug 1, 2026
- Last push (microsoft/autogen) · observed Apr 15, 2026
- License file (CC-BY-4.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (xbtlin/ai-berkshire) · observed Jul 26, 2026
- GitHub forks (xbtlin/ai-berkshire) · observed Jul 26, 2026
- Last push (xbtlin/ai-berkshire) · observed Jul 25, 2026
- License file (MIT) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autogen 60k · ai-berkshire 14k (synced Aug 1, 2026).
Common questions
- What is the difference between autogen and ai-berkshire?
- autogen: A programming framework for agentic AI. 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 autogen over ai-berkshire?
- Choose autogen over ai-berkshire when License: autogen is CC-BY-4.0, ai-berkshire is MIT; Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.; Tags unique to autogen: agentic-agi, agents, autogen, autogen-ecosystem; Also covers LLM Frameworks; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
- When should I choose ai-berkshire over autogen?
- Choose ai-berkshire over autogen when License: ai-berkshire is MIT, autogen is CC-BY-4.0; Tags unique to ai-berkshire: financial-analysis, investment-research, portfolio-management, stock-market; Also covers Evaluation & Observability; You need to leverage multi-Agent adversarial analysis for deep fundamental stock market assessment aligned with renowned investor philosophies.
- When should I avoid autogen?
- If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. You need solutions which do not involve additional installations for server components such as
playwright/mcp, as AutoGen requires this setup for certain functionalities. - 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 autogen or ai-berkshire more popular on GitHub?
- autogen has more GitHub stars (60,139 vs 14,138). Stars measure visibility, not whether either tool fits your constraints.
- Are autogen and ai-berkshire open source?
- Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, ai-berkshire: MIT).
- Where can I find alternatives to autogen or ai-berkshire?
- GraphCanon lists graph-backed alternatives at autogen alternatives and ai-berkshire alternatives (autogen 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, autogen or ai-berkshire?
- autogen: Slowing. 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 autogen and ai-berkshire?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autogen trust report; ai-berkshire trust report.