"HAL" matching MCP servers:

An enhanced MCP server for the Capacities knowledge management app. Features * List and explore spaces * Search content with full-text and title modes * Read full object content by ID (unique feature) * Save weblinks with tags and metadata * Add content to daily notes * Windows-compatible

Enables AI agents to store, recall, reinforce, and manage local long-term memories such as preferences, procedures, facts, episodes, and traces, with fading and archiving over time. It works with MCP clients via stdio or local HTTP while keeping data on the user's machine.

Provides persistent, scoped shared memory for collaborating AI agents, with tools for storing observations, semantic recall, and handoff workflows. Backed by PostgreSQL and exposed through MCP.

Enables AI assistants to maintain persistent local memory across sessions by organizing experiences into hierarchical layers (raw logs, checkpoints, daily cards, and stories), with tools to write, search, and verify entries via hashes.

Provides shared awareness for Claude Code sessions, allowing them to broadcast work-in-progress signals and register repos to avoid duplication across an organization.

Enables coding agents to share a persistent local memory store across sessions and clients, saving, searching, updating, and retrieving facts, decisions, incidents, preferences, references, and snippets with semantic and lexical search.

Integrates with Red Hat APIs to enable searching Knowledge Centered Support (KCS) solutions, retrieving solution details, searching support cases, and obtaining case details through LLM applications.

Reflexive Memory for AI Agents - MCP Server. Remembers, forgets, questions, and bites.

A local-first MCP memory server that gives AI coding agents persistent memory with hybrid semantic and keyword retrieval, working fully offline.

Gives AI agents governed, provenance-tagged memory where facts are invalidated rather than deleted and every recall result carries validity dates, confidence, and replacement links. Stores memory in a local SQLite file with tools for remembering, recalling, invalidating, and pinning facts, plus policy enforcement and an audit trail.

Enables Claude Code, Codex and other MCP agents to share one bounded, persistent memory across sessions, so a session starts from what earlier sessions learned instead of re-reading the repository. Storage and retrieval run locally on SQLite full-text search with per-client tokens and scopes, and optional local model enrichment, without any paid model in the path.

A permissioned memory tree for you and your AI — served over MCP.

Gives Google Antigravity persistent memory by automatically recalling profile and project context before model calls and saving new conversation turns at turn boundaries. Exposes MCP tools to add, search, list, profile, and forget memories, with privacy filtering and per-repository scoping.