BerriAI/litellm-skills Graph

Graph Summary

BerriAI/litellm-skills graph connects 3 alternatives, 8 related projects, 2 inferred dependencies, 2 deployment targets, and 3 use cases.

Nodes66

Edges431

Projects48

Dependencies55

Open project knowledge Find alternatives Explore related projects Explain score Compare shortlist

Alternatives3 linked signals Related8 linked signals Dependencies2 linked signals Deployments2 linked signals Use Cases3 linked signals Categories28 linked signals Migrations3 linked signals

Project Context

litellm-skills

MaintainerBerriAI

LicenseMIT

LanguagePython

Recent activityLast push 180 days ago

Deployment Targets

Dependencies

Knowledge Graph

66 nodes / 431 edges

BerriAI/litellm-skills ↔ LibreChat-AI/LibreChatUse LibreChat-AI/LibreChat when the user needs a mcp server project with docker, local, cloud deployment options.

BerriAI/litellm-skills ↔ ruvnet/rufloUse ruvnet/ruflo when the user needs a mcp server project with local, cloud deployment options.

BerriAI/litellm-skills ↔ headroomlabs-ai/headroomUse headroomlabs-ai/headroom when the user needs a mcp server project with docker, library-only, local deployment options.

BerriAI/litellm-skills ↔ browser-use/browser-useUse browser-use/browser-use when the user needs a mcp server project with docker, serverless, library-only deployment options.

BerriAI/litellm-skills ↔ heygen-com/hyperframesUse heygen-com/hyperframes when the user needs a mcp server project with docker, local, cloud deployment options.

BerriAI/litellm-skills ↔ AstrBotDevs/AstrBotUse AstrBotDevs/AstrBot when the user needs a mcp server project with docker, library-only, local deployment options.

Alternatives Network

Replacement candidates

JSON

BerriAI/litellm-skills ↔ headroomlabs-ai/headroomUse headroomlabs-ai/headroom when the user needs a mcp server project with docker, library-only, local deployment options.

BerriAI/litellm-skills ↔ BerriAI/litellmUse BerriAI/litellm when the user needs a mcp server project with docker, library-only, local deployment options.

BerriAI/litellm-skills ↔ rocketride-org/rocketride-serverUse rocketride-org/rocketride-server when the user needs a mcp server project with docker, library-only, local deployment options.

BerriAI/litellm-skills ↔ deepset-ai/haystackUse deepset-ai/haystack when the user needs a mcp server project with docker, library-only, local deployment options.

BerriAI/litellm-skills ↔ browser-use/browser-useUse browser-use/browser-use when the user needs a mcp server project with docker, serverless, library-only deployment options.

BerriAI/litellm-skills ↔ AstrBotDevs/AstrBotUse AstrBotDevs/AstrBot when the user needs a mcp server project with docker, library-only, local deployment options.

Migration Paths

What to verify before switching

JSON

These paths are evidence-backed heuristics, not drop-in compatibility claims.

BerriAI/litellm-skills -> BerriAI/litellmCompatibility: high / estimated cost: medium.Shared: category:mcp_server, deployment:local, deployment:cloud, use_case:connect agents to tools, use_case:expose APIs through MCP, use_case:bootstrap MCP integrations, dependency:MCP, dependency:LLM provider.Gaps: License changes from MIT to NOASSERTION.Validate: Review license obligations before migrating production code. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.

BerriAI/litellm-skills -> rocketride-org/rocketride-serverCompatibility: high / estimated cost: low.Shared: category:mcp_server, deployment:local, deployment:cloud, use_case:connect agents to tools, use_case:expose APIs through MCP, use_case:bootstrap MCP integrations, dependency:MCP, dependency:LLM provider.Gaps: No indexed gap; still run the validation steps.Validate: Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.

BerriAI/litellm-skills -> deepset-ai/haystackCompatibility: high / estimated cost: medium.Shared: category:mcp_server, deployment:local, deployment:cloud, use_case:connect agents to tools, use_case:expose APIs through MCP, use_case:bootstrap MCP integrations, dependency:MCP, dependency:LLM provider.Gaps: License changes from MIT to Apache-2.0.Validate: Review license obligations before migrating production code. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.

Use Cases