Home/Compare/self-repair vs ai-berkshire

Comparison

self-repair vs ai-berkshire

Verdict

Pick self-repair when tags unique to self-repair: python; pick ai-berkshire when tags unique to ai-berkshire: ai, financial-analysis, investment-research, portfolio-management.

Markdown twin · self-repair alternatives · ai-berkshire alternatives

GraphCanon updated today

self-repair logo

self-repair

theoxo/self-repair

15pushed May 2, 2024
vs
ai-berkshire logo

ai-berkshire

xbtlin/ai-berkshire

13kpushed Jul 11, 2026

Trust & integrity

Signalself-repairai-berkshire
Maintenance
Archived (800d since push)
As of today · github_public_v1
Very active (0d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Personal account
As of 1d · github_public_v1
Security (OSV)
No criticals
As of today · osv@v1
No MCP manifest
As of 1d · mcp_manifest

Tagline

self-repair
[ICLR 2024]: Is Self-Repair a Silver Bullet for Code Generation?
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

self-repair
15
ai-berkshire
13k

Forks

self-repair
3
ai-berkshire
1.8k

Open issues

self-repair
1
ai-berkshire
17

Language

self-repair
Python
ai-berkshire
Python

Adopt for

self-repair
-
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

self-repair
-
ai-berkshire
-

Runtime

self-repair
-
ai-berkshire
-

License

self-repair
-
ai-berkshire
MIT

Last pushed

self-repair
May 2, 2024
ai-berkshire
Jul 11, 2026

Categories

self-repair
Evaluation & Observability
ai-berkshire
AI Agents, Evaluation & Observability

Trust and health

Maintenance

self-repair
Archived (8%)
ai-berkshire
Very active (96%)

Days since push

self-repair
800d
ai-berkshire
0d

Archived on GitHub

self-repair
Yes
ai-berkshire
No

Open issues (now)

self-repair
1
ai-berkshire
17

Security scan

self-repair
No criticals
ai-berkshire
No MCP manifest

Full report

self-repair
Trust report
ai-berkshire
Trust report

Choose self-repair if…

  • Tags unique to self-repair: python.
  • Leaner open-issue backlog (1).

When NOT to use self-repair

  • self-repair is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency.
  • Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

Choose ai-berkshire if…

  • 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 on cards: self-repair 15 · ai-berkshire 13k (synced Jul 11, 2026).

Common questions

What is the difference between self-repair and ai-berkshire?
self-repair: [ICLR 2024]: Is Self-Repair a Silver Bullet for Code Generation?. 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 self-repair over ai-berkshire?
Choose self-repair over ai-berkshire when Tags unique to self-repair: python; Leaner open-issue backlog (1).
When should I choose ai-berkshire over self-repair?
Choose ai-berkshire over self-repair when 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 self-repair?
self-repair is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
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 self-repair or ai-berkshire more popular on GitHub?
ai-berkshire has more GitHub stars (12,711 vs 15). Stars measure visibility, not whether either tool fits your constraints.
Are self-repair and ai-berkshire open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to self-repair or ai-berkshire?
GraphCanon lists graph-backed alternatives at self-repair alternatives and ai-berkshire alternatives (self-repair 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, self-repair or ai-berkshire?
self-repair: Archived. 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 self-repair and ai-berkshire?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: self-repair trust report; ai-berkshire trust report.