Memory & knowledge

D

Simple deal tracker with pipeline cards, notes, goals, reports, and AI-powered deal updates.

Z

Seven-layer agent memory: episodic, semantic, procedural and core. Local SQLite, no account.

H

Team memory for coding agents: rules you approve, served to every agent, and which ones it cited.

M

Connect AI agents to GlassFrog: roles, skills, notes, tensions, and governance.

G

Read-only public, governed enterprise knowledge published by GVE, with provenance and validation.

E

Persistent, verbatim, searchable memory for AI assistants, one memory across every MCP client.

G

Getting Things Done (GTD) board: capture to Inbox, next actions by context, projects, waiting-for.

G

GuruHotel product knowledge: direct booking platform for hotels, PMS compatibility and pricing.

B

Design-review copilot: industry design checkpoints, edge cases, and Japanese legal notes.

H

Semantic search over Handsontable and HyperFormula docs, API reference, release notes, and issues.

H

Fresh context for agents. Ask, search or follow stories. Each fact cites a Synorb Manifest.

H

Search, read, analyze and create HappyScribe transcripts and meeting notes from any MCP client

K

Manage Kanera workspaces, boards, cards, checklists, comments, notes, automations, and reports.

K

Mail, Calendar, Messages, Notes, Contacts, Slack on your Mac for AI. Remote needs Pro or free trial.

K

Create, search and manage Knowtis collaborative notes from AI assistants.

L

Project memory for AI agents: read and keep the user's Listspace boards up to date.

H

Persistent memory shared across Claude, ChatGPT, Grok and other MCP clients.

B

Brahim Bousnguar's portfolio: profile, availability, case studies, notes, CV requests.

H

HiBot public knowledge: the ANSWER framework for AI visibility, audit plans, case studies, research

H

Create courses, search approved knowledge, preview learning content, and manage learning sites.

S

Personal context for every AI: search, read, and write back to your private Markdown library.

S

The context layer for the physical world: filmed spaces as cited context for agents.

I

Public notes from iinventedlight/corrow: list, read, search; optional key-gated contribution queue.

T

Experience memory for coding agents: validated traps, fixes and dead-ends at decision time.

S

Undisk MCP: safe file memory for AI agents.

I

Check if an AI model is deprecated, retiring, or silently changed price or context window.

K

Search and read your Kasset meetings and conversations: notes, transcripts and action items.

K

The right context at the right time, from the world's leading data providers. One API. 800+ tools.

K

Make your knowledge agent-ready. One MCP endpoint, 5 connectors, 3 search modes.

K

Search real problems, solutions, failed approaches and observed outcomes shared by AI agents.