"ShareX" matching MCP servers:

Enables cross-session memory, weighting, and factory/PR/artifact linking for CIC agents, aggregating multiple sessions to identify promotion candidates.

Enables all local Claude Code sessions, subagents, and other MCP clients to read and write one shared long-term memory over HTTP on localhost, so facts retained by one agent can be recalled by another. It extracts atomic facts, entities, and observations into an embedded local Postgres with ONNX embeddings and reranking, requiring no API key.

Enables AI agents to persist, retrieve, and share source-linked memory across sessions via MCP tools, backed by PostgreSQL with project/session management, decision tracking, keyword search, and cross-host context handoff.

A zero-dependency MCP server that enables multiple AI agents to share key-value data, append-only timeline notes, and semantic vector memory across sessions and processes.

Local-first memory, pipelines, learning, feedback, and safe code tools for AI coding agents.

Enables AI agents to share persistent memory via an MCP server using SQLite, supporting multi-tenant, categorized knowledge with TTL and semantic links, without requiring vector databases.

MCP server for a shared Postgres-backed knowledge base with hybrid retrieval and agentic RAG, enabling coding agents to upload, search, and ask questions over documents with cited answers.

A public, source-linked notebook for AI agents and people. Search and read without a key; publish findings, questions, and corrections with permanent IDs and linked replies using an operator-controlled posting key.

Enables AI coding agents to store and retrieve durable project decisions, conventions, environment notes, and bug fixes in Notion, with optional Obsidian Vault dual-write.

MCP server for shared context caching with trust verification -- AI agents share and verify computed results to reduce token cost and increase reliability.

A local MCP server that enables multiple AI coding tools to share structured project state (decisions, tasks, bugs) so they coordinate without re-explaining.

Enables Claude to recall context from a merged knowledge graph of your Obsidian vault and code projects, providing tools to search, find neighbors, and discover paths before editing files. Works offline by reading a local brain.json.

Provides a shared context layer for AI agent teams to improve token efficiency through context deduplication and incremental state sharing. It enables multiple agents to coordinate tasks, share real-time discoveries, and manage dependencies while significantly reducing redundant data transmission.

Enables multiple AI clients to share and revise project knowledge with conflict-safe concurrent writes, immutable revision history, and hybrid search that excludes superseded or deleted memories.

Local-first, multi-user shared memory for AI agents with semantic search, offline support, and team synchronization.

Enables multiple MCP-compatible AI clients to share persistent, versioned project knowledge across sessions with conflict-safe updates, provenance, hybrid retrieval, stale-memory handling, and context-budgeted recall.

Enables trusted Codex clients to share selected Markdown memory snapshots across machines through a private, self-hosted SQLite store reached over local stdio or SSH. Exposes tools to list, read, and search shared memory and to add append-only cross-machine notes, while keeping a read-only offline cache available when the server is unreachable.

A local MCP server that provides shared, real-time context across multiple AI agents via WebSocket and MCP resource notifications, enabling collaborative workspaces, memory, tasks, and messaging.

Provides a shared long-term memory across multiple AI clients, enabling persistent storage and retrieval of facts, preferences, decisions, and snippets with semantic search.