"Rive" matching MCP servers:

MCP server for personal and shared memory with full-text search (SQLite FTS5) and outcome tracking, compatible with any MCP agent like Claude Code, Cursor, and Codex CLI.

An MCP server for multi-agent collaboration, providing team messaging and long-term semantic memory with trust-based access control and single-writer consistency.

A Claude Code plugin that runs a cheap, always-on model as an MCP server to accumulate knowledge of your codebase, so your agent can ask broad questions instead of re-reading files.

An MCP server enabling AI agents to record, query, and share structured problem-solving experiences with human review and confidence decay.

Provides tools for semantic decomposition, proof search, knowledge graph operations, and neuro-symbolic reasoning that bridges neural LLMs with symbolic AI through RDF triples, lambda calculus, and compositional intelligence principles.

Provides AI coding agents with persistent, graph-connected memory across projects, enabling cross-project context retrieval via synaptic connections and hybrid search.

MCP server providing shared working memory for collaborative AI agents, with real-time notes and LLM-consolidated structured memory bank.

Gives your agent a private Kinematic Drive: a deterministic memory engine for sub-millisecond exact recall over code and docs with no hallucination. Also provides self-serve checkout and metered pay-per-call tools for AI agents.

Context infrastructure for AI-assisted development — on-demand Obsidian vault access via MCP

Shared knowledge graph for AI coding agents. Search, create, and link verified technical knowledge across 12 node types with trust scoring, demand signals, and auto-provisioning. Install: npx agent-hive-mcp

Enables shared, persistent memory and coordination for Claude Code and Codex sessions through a visible crew of tmux workers and a local SQLite store.

Enables coding agents to record, recall, supersede, and trace temporal decisions with rationale using MCP tools.

Enables Claude Code agents and sub-agents to share a persistent, compiled memory of project state, decisions, tasks, and facts across sessions instead of re-reading transcripts. Provides token-efficient bootstrap, search, commit, leased task claiming, and task-specific context compilation so parallel agents can coordinate without clobbering each other.