Skip to main content
Glama
genpark-kv-cache-paged-attention-allocator-skill

genpark-kv-cache-paged-attention-allocator-skill

by Alpha-Park

Related Servers

Alternatives to genpark-kv-cache-paged-attention-allocator-skill

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP clients to manage LLM inference memory through virtual paged-attention KV-cache block mapping, non-contiguous physical page allocation, zero-copy fragmentation tracking, radix-trie prefix caching, INT8 quantized compute, and speculative decoding verification. It also exposes prefill and decode latency telemetry so edge deployments can be benchmarked and tuned without external dependencies.
      7
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP clients to coordinate local AI model runs by monitoring RAM, system commit, and VRAM, queueing tasks across clients, performing admission checks before inference, renewing leases, completing and releasing runs, and reporting status, history, and health while preserving original generation quality parameters. It also supports controlled start/stop and optional idle application memory reclamation.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides AI agents with persistent local memory management, including semantic recall, knowledge graph traversal, and automatic memory consolidation, enabling structured long-term memory across MCP clients.
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to maintain a persistent identity and structured memory—including reasoning patterns, episodic history, and knowledge—while exposing procedures for managing that memory over MCP.
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP hosts and applications to give AI agents governed persistent memory and bounded context with authorization, provenance, temporal/version control, lifecycle, audit, and optional provider-agnostic model execution.
      Apache 2.0
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI agents to share a portable, user-level memory layer through MCP, allowing them to store, search, update, link, and consolidate facts with optional full-text and vector retrieval.
      7
      19 npm
      MIT