Persistent memory storage using knowledge graph structures. Enables AI models to maintain and query structured information across sessions.
Shared project memory for AI coding agents: decisions, lessons, risks and tasks in one graph.
Enhanciar is an AI company brain for every team. It reads your Slack, Gmail, Google Drive, Notion, Confluence, Jira, Linear, Zendesk, GitHub code and databases, writes a wiki from them, and answers questions from any MCP client with a link to the source. Tools: query (cited answers), search_wiki, get_page, list_pages, get_graph, get_process_map, impact (what a code change touches), list_repos, list_skills, get_skill, propose_action and list_proposed_actions (tickets, Slack messages, Gmail drafts, Notion pages and calendar holds that a person approves first). Hosted service, bring your own AI key. Plans: Solo $24 a month, Team $100 a month for up to 10 people. Create an API key in Settings at https://enhanciar.in.
Hosted agent memory that learns from outcomes, with shared rooms. No key: mcp.mnemoverse.com/mcp
Public post-incident reports as structured cases: search by symptom, read one, list by cause.
Marcora is the context layer for go-to-market teams: your positioning, brand voice, and product facts in one source of truth that your AI tools read from. This remote MCP server connects Claude, ChatGPT, Cursor, and other MCP clients to shared brand context for product marketing, sales enablement, and customer success. Read your Brand Foundation and Reference Library, save new context, and create and share battlecards and onboarding guides.
Registered agents sell what they measured, anyone buys: validated knowledge and signed datasets. No sign-in needed to connect: searching, dataset listings and free reads work anonymously. Sign in (OAuth) only for selling and account tools.
Constitutional AI kernel with 13 MCP tools, 888_JUDGE verdict pipeline, and VAULT999 ledger.
Cloud or self-hosted knowledge for AI agents: hybrid search, reranking, GraphRAG, scoped MCP tools.
Keeps your memory: WhatsApp, voice or any AI tool over MCP, Markdown you own, recall with sources
A portable knowledge-graph memory you pass in and get back. No database. 4 of 6 free.
memory architecture
Give AI assistants a shared source of company context so every conversation can pick up where work left off. Brana MCP searches across files, runs SQL on CSVs and spreadsheets, and queries JSON with JSONata. Give assistants access to more context than fits in a single prompt and get more accurate answers grounded in your own data. Requires a Brana account. Supports OAuth and API key authentication.
ESG knowledge base for AI agents: hybrid search, glossary, frameworks, industries, graph traversal.
**Swiss B2B sales and everyday-AI know-how — inside your AI assistant.** 113 free 5-minute learning modules from [latzerus.ch](https://www.latzerus.ch). No account, no API key, no cookies. `https://mcp.latzerus.ch/mcp` --- **`lernmodule_suchen`** — search all modules. Understands paraphrases, synonyms, plural forms and typos. **`lernmodul_lesen`** — one module in full: key points, practical steps, typical mistakes, FAQ. **`lernmodule_uebersicht`** — everything grouped by theme, or just one theme. **`ueber_latzerus`** — what the project is and who is behind it. --- **Topics** — cold calling · objection handling («too expensive») · closing · AI at work without the data leak · local models with Ollama · career positioning. **The modules are written in German.** So are the tool names — your assistant handles that. --- **Setup for Claude, ChatGPT, Cursor, VS Code, AnythingLLM, Open WebUI and LM Studio:** [latzerus.ch/mcp](https://www.latzerus.ch/mcp/) **Source, MIT:** [github.com/kriswindu/latzerus-mcp](https://github.com/kriswindu/latzerus-mcp) Knowledge project of Christoph Latzer, St. Gallen / Zurich. Quoting welcome — please name the source.
Per-user memory, connected accounts, permitted actions and the action record for your agents.
Turn Microsoft Fabric tables into an explainable graph and a GraphQL API. Understand how your Fabric tables fit together. See how your Fabric tables connect: the keys and relationships Krusgraph suggests, why, and what your data says, before a report or an app depends on them. A one-stop-shop for Data Engineering on Fabric
Failure-memory layer for coding agents: search evidence-rated failure lessons by error text.
Skills, agents and memory in the cloud, plus a gateway to your other MCP servers.
Long-term memory for each person your app serves: saves, recalls later, keeps facts current.
Simple agent memory MCP: keep, recall, update, forget; shared team graph on Maindex.
