"Exploring Memory Persistence in DeepSeek Technology" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Engram is a persistent, long-term memory layer for AI agents and assistants. Claude, ChatGPT, Grok, Cursor and any MCP client share one memory, stored as plain markdown notes: your knowledge base, second brain and AI context in one place. No extraction step: the memory is the note itself, so you can read exactly what your AI remembers and fix it. Edit your memory in Obsidian (real-time sync), the web app, or on your phone. Hybrid keyword + semantic search (RAG over your notes) finds exact strings like error messages, config keys and IDs. Remote MCP server over Streamable HTTP with OAuth 2.1; notes encrypted at rest. Https://engram.page https://youtu.be/rwnPeZ-8Lqo?is=NI-N7BduydGAiZlF https://github.com/engram-app/Engram
Governed organizational memory for AI, by EigenAtom. ChatGPT, Claude, Cursor and other agents save explicit memories to one shared store over MCP; AI only suggests labels, and the organization's deterministic policy decides who may read each memory, so recall returns only what the signed-in person may see. No admin bypass, audited changes, and memory content never reaches logs. Free 60-day trial, no credit card.
graphrag-ts is a TypeScript GraphRAG engine on PostgreSQL/pgvector, served as a Streamable HTTP MCP endpoint. Public read tier needs no credentials (20 req/min per IP): integrity_paper_status, retraction_propagation, integrity_evidence_audit. A bearer key unlocks graph query, global map-reduce, index jobs and memory writes. Free browser demo: https://huggingface.co/spaces/ashesborn6/retraction-status
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.
Dated, verified API breakages for coding agents, plus a local scan for them in your existing code.
Find explanations and worked examples in Ithy’s public article library, from SSD capacity to USB-C cables. Search titles and descriptions, then read relevant passages with source links and dates. No account or API key. Read-only; no new research or private data access. Articles are AI-assisted secondary sources—check important claims against original references. https://ithy.com/connect
Bubbles: save chat context once, use it in ChatGPT, Claude, Gemini, Grok, Perplexity and Cursor.
A second brain for your AI agent. Shared memory for your team's AI agents, plus public and private knowledge bases — works with ChatGPT, Claude, Cursor and any MCP client.
The only News based AI MCP your agents will ever need — custom categories, global regions, and time-scoped results in one tool. We use multi-vector & sparse-hybrid search to search through thousands of articles across the world to find the exact news you're looking for.
Cited answers in Claude or ChatGPT only from your office's procedures; says so when not covered.
Serverless hybrid search: full-text, vector and faceted search, in SQL, ES DSL, Solr and more.
Ask questions about Claude Code, Cursor, Codex and MCP — get answers grounded in their official docs, with citations. A hybrid RAG service that AI agents call through two MCP tools (or over REST). It indexes ~600 pages of official documentation, refreshes itself daily, and every design choice is backed by an experiment.
jitprompt gives your agents just-in-time instructions. Upload your docs as they are, and your agent gets the right section over MCP at the moment it needs it, instead of 20k tokens of system prompt every turn.
Hosted MCP memory: save sessions/decisions once, search from Claude, Cursor, ChatGPT. EU-hosted FTS.
Your feeds inside your AI. Read and search the articles of the RSS feeds, YouTube channels, podcasts and Google News searches you follow. On Plus and Pro, also save, tag, highlight and add notes. OAuth sign-in, every FeedNest plan.
Fastio gives your team and AI agents a workspace for each project, bringing source files, comments and new work together. Connect a compatible MCP client to find files, answer questions from project material, and save results where the team can review and use them. \ Sign in through Fastio and choose the workspaces the connection can reach. Read Only connections expose read tools; Read & Write connections also allow changes. \ • **Files and folders:** browse, read, upload, and organize files, with version history and trash. • **Search:** find files by keyword; search file content and meaning when Deep Indexing is enabled and files have been processed. • **Metadata:** read, set, and search metadata fields, including extracted fields where available. • **Shares:** create and manage shares for sending or collecting files. • **Comments and members:** read and add comments, and manage workspace membership within your permissions. • **Activity:** search workspace events to see what changed. \ Hosted by Fastio, with no server installation required. \ • **Claude and most MCP clients:** https://mcp.fast.io/mcp/tools • **ChatGPT:** https://mcp.fast.io/mcp/operations • **ChatGPT and Codex:** Fastio plugin • **Claude Code, Cursor and similar coding agents:** https://mcp.fast.io/mcp/code • **Setup and client-specific capabilities:** https://mcp.fast.io/docs \ Paid plans. Monthly plans include a trial of up to 30 days. A card is required, and billing begins when the trial ends or trial credits run out, whichever comes first. No free plan.
Bring your saved preferences, project decisions, and useful context into your next AI conversation.
Document reader for AI agents: PDF text and tables, Word paragraphs, metadata, and OCR for scanned files and images. Runs in memory and stores nothing. Requires a Bearer token.
Patent-pending semantic memory for AI agents: quality-gated writes, conflict tracking. Free trial.
Recall memories, entity profiles and source notes from your Locul cloud brain in any AI chat.
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
Give your agents your team's real data — read the shared graph, propose actions your team approves.
Your own memory inside ChatGPT and Claude, with the source of every note.
Historical market memory for AI agents using semantic vector search across years of financial market data. Discover similar market regimes, price patterns, and market context for quantitative research and algorithmic trading.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
Search and inspect signed scientific claims, methods, observations, artifacts, provenance, contradictions, retractions, and reproducible admission receipts from a shared memory for AI agents.
Long-term memory for AI assistants. Isolated per-user storage, recall across conversations.
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
Shared memory of what worked for AI agents: search lessons by meaning, then report outcomes.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
