"Hyper" matching MCP servers:

A read-only, cross-platform visualization layer for Cortex that renders memory, sessions, and code into six live reading angles (graph galaxy, 3D anatomical brain, execution trace, consolidation board, knowledge browser, and wiki) without ever writing a memory.

Git-native long-term memory for AI agents: your markdown files are the source of truth, the search index is a disposable projection rebuilt from git, and every memory the agent writes is a reviewable git commit. Served over one OAuth-secured MCP endpoint with hybrid lexical+semantic recall and a gated, git-first commit_note write tool.

Enables MCP-compatible clients to maintain a local-first long-term memory by recording decisions, facts, and preferences, retrieving relevant past context, consolidating entries, and anchoring local file paths.

MCP server for HyperVault that lets any MCP-capable agent save artifacts to a user's vault and claim vanity subdomains.

Serverless, 100% decentralized P2P storage engine and shared memory mesh for autonomous AI agents via Hyperswarm DHT and Hypercore v10. Zero cloud costs, sub-50ms sync, and OWASP 2026 agentic security hardening.

Enables LLMs to manage vector collections, run hybrid semantic and Wasserstein searches, traverse knowledge graphs, and perform geometric and cognitive diagnostics through MCP tools. It also provides administration for caches, quantization, reconsolidation, and collection lifecycle operations.

Enables AI agents to store, semantically recall, update, forget, consolidate, and verify persistent memories with session isolation and hyperbolic concept navigation. It also supports knowledge-graph linking and claim verification for anti-hallucination workflows.

Developer-alpha Rust stdio MCP server for a local encrypted, append-only knowledge store. Agents search and retrieve knowledge through scoped, expiring grants.

Local research vault over stdio: search, read and link the markdown notes a Claude Code or Codex deep-research pipeline collected, list and check sources, and fetch new URLs into the vault.

Enables AI agents to retrieve hyper-targeted, token-efficient context from a codebase by querying a locally built AST knowledge graph, and to persist cross-session agent memory through 17 MCP tools. All indexing and retrieval run entirely offline, so proprietary code never leaves the machine.

Enables AI agents to store, recall, and self-maintain durable long-term memories on Cloudflare Workers using hybrid vector and full-text search with JEV-based re-ranking.

Enables AI agents to interact with the AI Network blockchain by managing accounts, submitting transactions, and reading database values. It supports registering Hyper Agents and accessing a Layer 2 DAG-based shared agent memory system based on staking status.

A semantic memory store for AI agents, enabling persistent memory across sessions via MCP tools with semantic search, scoped access, and local embeddings.

Enables AI coding agents to execute tools in a sandbox, retain searchable persistent memory, and reversibly compress long conversation histories through a unified MCP endpoint.