"RTM" matching MCP servers:

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

Portable memory protocol for AI coding sessions. Push the state of a session (goal, decisions, attempts, next step) from one MCP-capable agent and pull it back from another.

Hosted MCP gateway to the RTP global commons of neighborhood practice and relational tech knowledge. AI builders can query 275+ recipes, frameworks, and methodology docs for community organizing.

An MCP server that provides AI tools with relational tech principles, patterns, and the Studio library to guide builders in creating community-centered tools using embedded design.

Transforms your local repository into a shared project brain using recursive reasoning and local LLMs to analyze, reason, and remember project architecture.

Provides persistent long-term memory for AI assistants with tag-based retrieval, wiki-style linking, and source references, storing memories as markdown files with SQLite index.

A self-learning knowledge layer for local LLM chat that answers questions from Markdown files, writes new knowledge back every turn, and provides grounding verdicts.

Provides persistent memory and semantic file discovery for AI coding agents, enabling them to remember changes and find relevant files across sessions.

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.

Provides AI clients with a governed, searchable catalog of go-to-market context, including ownership, measurement, lineage, runbooks, and bulk-change templates. Optionally integrates with the UTM Builder for governed UTM reference data, preview, and issuance.

MCP server for Obsidian vaults — multi-brain manager with templates, persistent registry, search, CRUD, frontmatter, wikilinks and context bundling. Works with Hermes Agent and Claude Code simultaneously.

A networked long-term memory server that enables AI agents to maintain persistent context across sessions via Server-Sent Events (SSE), with secure multi-tenancy and autonomous memory lifecycle management.

Enables AI assistants to read and update a user's personal manifest (portable context) through a secure, token-based connector.

Auto-converts FastAPI endpoints into MCP tools for semantic search, data ingestion (text, code, conversations), and knowledge graph operations. Provides dual access through MCP protocol and direct API calls with automatic tool generation from FastAPI routes.