opencode-telegram-bot vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares opencode-telegram-bot and openai-agents-python across public evidence signals — GitHub activity, package usage, dependency adoption, docs quality, ecosystem links, and discourse. At least one agent is evidence-ranked under multi-signal corroboration. The comparison shows evidence differences, not a universal winner. Methodology at /methodology.
For machine retrieval: GET /api/compare/llm-summary?agents=grinev_opencode_telegram_bot,openai_openai_agents_python or MCP compare_agents(["grinev_opencode_telegram_bot","openai_openai_agents_python"]).
o
opencode-telegram-bot
@grinev_opencode_telegram_bot
Evidence RankedBuilder#75
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
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Score & Rank
Score
43.57
Rank
#75
7d Change
—
Score
73.79
Rank
#1
7d Change
—
Evidence Signals
GitHub71.52
Packages46.05
Deps—
Docs77
Discourse—
Ecosystem—
Coverage: medium
GitHub95.67
Packages100
Deps90.63
Docs84
Discourse22.8
Ecosystem—
Coverage: high
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #131 → #131
Score: 6054 → 43.57
1 days tracked
→ Flat
Rank: #68 → #68
Score: 6740 → 73.79
1 days tracked
Recent Signals
Repo spike11h ago
Repo spike23h ago
Repo spike1d ago
Repo spike2d ago
Dev activity2d ago
Repo spike3h ago
Repo spike11h ago
Repo spike19h ago
Repo spike23h ago
Repo spike1d ago