Related Servers

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Related Servers

• RLM MCP Server

  win10ogod

  A

  license

  A

  quality

  D

  maintenance

  Enables any LLM to process arbitrarily long contexts through recursive decomposition, without requiring external LLM APIs.

  Updated 8 months ago (2026-01-07 03:14 UTC)

  17

  550

  15

  MIT

• RLM-MCP

  adrianwedd

  A

  license

  A

  quality

  D

  maintenance

  Implements the Recursive Language Model pattern, enabling LLMs to process arbitrarily long contexts through session-based document management, on-demand chunking, BM25 search, and artifact storage.

  Updated 3 months ago (2026-05-19 21:46 UTC)

  12

  1

  MIT

• Aleph

  Hmbown

  A

  license

  -Not graded

  quality

  D

  maintenance

  Enables AI assistants to analyze documents larger than their context window by loading files into RAM and querying them via search, navigation, and Python execution tools. Supports recursive reasoning to process massive datasets in chunks using sub-agents.

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  MIT

• long-context-mcp

  wx-b

  -

  license

  -Not graded

  quality

  -Not graded

  maintenance

  An MCP server implementing Recursive Language Models (RLM) to process arbitrarily large contexts through a programmatic probe, recurse, and synthesize loop. It enables LLMs to perform multi-step investigations and evidence-backed extraction across massive file sets without being limited by standard context windows.

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• rlm-mcp-server

  wgthomas

  F

  license

  -Not graded

  quality

  D

  maintenance

  Provides recursive language model capabilities to AI assistants, enabling efficient exploration of large contexts through iterative Python code execution.

  Updated 7 months ago (2026-01-20 04:33 UTC)

  1

• agent-knowledge

  yucx-go

  A

  license

  A

  quality

  C

  maintenance

  Long-term memory for AI agents. Compiles conversations into a structured knowledge base with Claim/Evidence model, source provenance, append-only timeline, and contradiction detection. Multi-path retrieval (Exact + BM25 + Graph + weighted RRF + reranker) — 96.6% R@5 on LongMemEval-S, zero vector dependencies.

  Updated 3 months ago (2026-05-17 15:55 UTC)

  8

  3

  MIT