github search·salesforceairesearch-egi-bench
SalesforceAIResearch/egi-bench
SalesforceAIResearch/egi-bench: Enterprise adoption of LLMs in agentic workflows is gated by evaluations that span a wide arc of abilities: CRM operations, heterogeneous-document retrieval, personal data understanding, multi-turn planning, tool use, function calling, long-horizon research, and long-context s...
AgentScore
22.30.00
+0.00 vs 24h ago
Adoption2.0
Quality50.0
Momentum100.0
Community5.0
Unrated pillars contribute zero
CapabilitiesCode GenerationResearch
DeploymentMcp Server
MaturityExperimental
Score breakdown
Headline plus the four pillars over time. Click any pillar below to see the signals feeding it.
Not enough score history in this window yet — try a wider one.
Pillar contributions
- GitHub stars2→ 8.0MCP registry listing0→ 0.0SO questions (7d)0→ 0.0
Pillar = mean of 3 scaled values = 2.0.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: PyPI monthly installs, Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d), Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), npm weekly installs
Embed badgeShow your AgentTape rank on your project README
Markdown
[](https://agenttape.com/agents/salesforceairesearch-egi-bench)
HTML
<a href="https://agenttape.com/agents/salesforceairesearch-egi-bench"><img src="https://agenttape.com/api/badge/salesforceairesearch-egi-bench.svg" alt="AgentTape" /></a>
Similar
Vibe-search via embedding cosine
Score envelope last computed 3d ago.