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3 MCP Servers13 Skillsacross 6 categorieso-stepper
rulvar first-class provider adapter over @anthropic-ai/sdk.
o-stepper
Default in-process embedder for the Graphorin framework. Wraps `@huggingface/transformers@^4.1.0` to produce dense vectors with the multilingual `Xenova/multilingual-e5-base` model (768-dim) by default. Implements the `EmbedderProvider` contract from `@gr
...moreOleksiy Stepurenko
Model Context Protocol client for the Graphorin framework: stdio + Streamable HTTP + SSE transports, typed `MCPClient` (`listTools` / `listResources` / `listPrompts` / `callTool`), `toTools()` adapter (per-server inbound prompt-injection sanitization, def
...moreOleksiy Stepurenko
LLM-as-reranker adapter for the Graphorin framework. Asks the configured `Provider` to score `(query, passage)` pairs against an English (default, locale-agnostic + translatable) scoring prompt; runs scoring in parallel batches via `Promise.all()`. Defaul
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Skills surface for the Graphorin framework: loader for the SKILL.md packaging format with three-tier progressive disclosure (metadata / body / resources), frontmatter validator implementing the field-resolution algorithm and conflict policy from ADR-043,
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Six-tier memory system for the Graphorin framework: createMemory() facade with working / session / episodic / semantic / procedural / shared sub-modules, eleven memory tools wired into @graphorin/tools, hybrid vector + FTS5 search composed through Recipro
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Tools surface for the Graphorin framework: typed `tool({...})` builder backed by Zod schemas, ToolRegistry with strategy-aware collision resolution and deferred-loading support, ToolExecutor with parallel/sequential dispatch, approval flow, sandbox enforc
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Cross-encoder reranker adapter for the Graphorin framework. Wraps `@huggingface/transformers@^4.1.0` to score query / passage pairs in-process via the BAAI BGE family of cross-encoder models. Automatic model selection from the agent locale: `'en'` default
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First-class opt-in alternative to @graphorin/embedder-transformersjs for the Graphorin framework. Wraps the local Ollama HTTP API to produce dense embeddings via models such as `nomic-embed-text` (768-dim, multilingual default), `mxbai-embed-large` (1024-
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Vendor-neutral LLM provider layer for the Graphorin framework. Ships the canonical Provider interface, the Vercel AI SDK adapter (default cloud path), three local-LLM adapters (direct Ollama HTTP, llama-server HTTP, and a generic OpenAI-compatible adapter
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Eval framework for the Graphorin framework. Ships scorer libraries (`code/` exact-match, regex, JSON path, predicates; `llm/` LLM-judge; `prebuilt/` toxicity / factuality / helpfulness), dataset loaders (JSONL, CSV, from-traces, generic iterable), reporte
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Hybrid facade-with-state session module for the Graphorin framework: createSessionManager() facade that wraps @graphorin/memory.session for message CRUD (single source of truth), AgentRegistry singleton with register / retire / delete / placeholder semant
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Observability primitives for the Graphorin framework: typed AISpan tracer over OpenTelemetry, mandatory withValidation wrapper for every exporter, sensitivity-aware RedactionValidator with built-in PII / secret patterns, GenAI Semantic Conventions conform
...moreo-stepper
rulvar first-class provider adapter for the OpenAI Responses API, plus the openaiCompatible factory.
GitHub Actions
Pointer to the Rulvar umbrella package: install @rulvar/rulvar (or this alias, which re-exports it). An embeddable TypeScript engine for durable, budget-bounded, testable multi-agent LLM workflows.
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Rulvar evals: eval cases, golden outputs, rubric and judge graders, matrix sweeps, canary fingerprint.