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genpark-agent-dynamic-few-shotofficial
RAG Systems AI & Machine Learning
Alpha-Park
F
license
Not graded
quality
B
maintenance
Enables MCP-compliant clients and autonomous agents to pick optimal few-shot in-context exemplars by combining semantic token overlap, cosine similarity, and Maximal Marginal Relevance diversity ranking for prompt optimization. Runs deterministically on the Python standard library with zero external dependencies, avoiding frontier LLM round-trips for sub-millisecond selection.
Updated 2 days ago (2026-09-29 00:55 UTC)
7
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ModelAtlas
AI & Machine Learning Search
rohanvinaik
F
license
A
quality
A
maintenance
Enables LLMs to search open-source AI models by semantic meaning using directional coordinates and anchors, returning scored, ranked results in under 100ms.
Updated 2 months ago (2026-07-29 04:21 UTC)
10
2
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genpark-context-window-lost-inofficial
RAG Systems Knowledge & Memory
alphaparkinc
A
license
Not graded
quality
B
maintenance
Enables agents to optimize context-window attention by reordering retrieved documents so critical evidence lands at prompt boundaries, mitigating lost-in-the-middle degradation. It combines BM25 lexical scoring, dense vector similarity, reciprocal rank fusion, knowledge-graph expansion, and recency-decay memory caching, exposed as a zero-dependency MCP stdio server.
Updated 3 days ago (2026-09-28 02:58 UTC)
7
MIT
genpark-agent-hybrid-memoryofficial
Knowledge & Memory RAG Systems
Alpha-Park
F
license
Not graded
quality
B
maintenance
Enables MCP-compatible agents and IDEs to retrieve episodic long-term memories using hybrid BM25 keyword search, semantic n-gram cosine similarity, and recency decay ranking, with deterministic zero-dependency execution.
Updated 3 days ago (2026-09-28 10:53 UTC)
7
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mcp-local-semantics
AI & Machine Learning Search RAG Systems
ketankshukla
A
license
Not graded
quality
C
maintenance
Enables agents to perform semantic search, text comparison, clustering, and zero-shot classification locally without API costs, allowing repeated in-loop use.
Updated 23 days ago (2026-09-07 19:03 UTC)
MIT
genpark-cosine-bm25-reciprocal
RAG Systems Knowledge & Memory
Alpha-Park
A
license
Not graded
quality
B
maintenance
Enables agents to retrieve relevant context via a zero-dependency hybrid search engine that blends sparse keyword-based lexical ranking with dense vector similarity scores into one fused result set, then refines it with knowledge graph triplet expansion and lost-in-the-middle context reordering. It also provides episodic memory consolidation, recency decay, and semantic query caching, exposed as a JSON-RPC 2.0 stdio MCP server for clients such as Claude Desktop, Cursor, and Windsurf.
Updated 3 days ago (2026-09-28 02:55 UTC)
7
MIT