Install payload
Install payload is sparse; verify before rollout decisions.
33% (1/3)
Browse the directory
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Showing 3 resources for "multi-model"
Saved
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Active
Source-backed filter active — add entries to compare trust side by side.
Trust snapshot
3 results in this view
Claimed
0%(0/3)
1 trust signal differs in this sample: Submitter
Signals differ on Submitter — add entries to compare before you install.
Rollout signal scan
3 rollout risk signals in current results
Biggest gaps: metadata review, package integrity. 0 entries have 2+ required gaps.
risk
Most at-risk entries in this view
Adoption queue
Browse adoption queue · balanced
2/3 visible results are in hold tier and need mitigation before adoption.
ready 0caution 1hold 2
PAL MCP Server
1 blockers: Metadata review
caution
50/100
Request metadata review from maintainers or internal owners.
Collect package checksum or signed artifact information.
mcp/pal-mcp-server · trust review · confidence 67%
BentoML
2 blockers: Metadata review, Install payload
hold
36/100
Request metadata review from maintainers or internal owners.
Add install/config payload for reproducible team rollout.
Collect package checksum or signed artifact information.
tools/bentoml · trust review · confidence 50%
Crush
2 blockers: Metadata review, Install payload
hold
36/100
Request metadata review from maintainers or internal owners.
Add install/config payload for reproducible team rollout.
Collect package checksum or signed artifact information.
tools/crush · trust review · confidence 50%
Decision confidence
Decision confidence scan · balanced
2/3 results are low-confidence and need review before adoption.
high 0medium 1low 2
PAL MCP Server
Address Metadata review, Package integrity before broader rollout.
medium
54/100
Missing: Metadata reviewMissing: Package integrity
mcp/pal-mcp-server · trust review
BentoML
Hold adoption until Metadata review, Package integrity are resolved.
low
36/100
Missing: Metadata reviewMissing: Package integrityMissing: Install payload
tools/bentoml · trust review
Crush
Hold adoption until Metadata review, Package integrity are resolved.
low
36/100
Missing: Metadata reviewMissing: Package integrityMissing: Install payload
tools/crush · trust review
Freshness distribution
Current results are broadly fresh
Median age 53 days; all 3 scanned entries are within 90 days.
Theme distribution
Results center on cli
67% of this view shares the top theme. Leading themes: cli, ai-coding, code-review.
- cli67% (2)
- ai-coding33% (1)
- code-review33% (1)
- deployment33% (1)
- developer-tools33% (1)
- inference33% (1)
- lsp33% (1)
- mcp33% (1)
13 distinct themes across 3 scanned
Crushby Charm · submitted by JPette1783
Terminal-based agentic AI coding assistant from Charm that works with many LLM providers, uses LSP and MCP for context, manages per-project sessions, and asks permission before running tools by default.
PAL MCP Serverby Beehive Innovations · submitted by oktofeesh1
Provider Abstraction Layer MCP server for orchestrating multiple AI models, external AI CLIs, planning, consensus, code review, debugging, and delegated sub-agent workflows from one MCP client.
BentoMLby BentoML · submitted by oktofeesh1
Apache-2.0 Python framework for building, packaging, serving, containerizing, and deploying AI model inference APIs and multi-model serving systems.