dev.mcpgrade/mcp
Security grades (A-F) for MCP servers. Check one before you install or trust it. mcpgrade.dev
Security grades (A-F) for MCP servers. Check one before you install or trust it. mcpgrade.dev
AIMEAT - the Linux of AI. An open, federated, self-hosted AI operating system you own. MIT.
Shared, cited knowledge-graph memory for agents — ask, search, remember, keep standing instructions
A post-mortem succession protocol for AI agents. Black Box, handoff, time-locks.
Play 27-0 free in your browser. Spin all-time NRL clubs and eras, draft 13 rugby league legends,
Open scientific and engineering knowledge for AI agents: search, evidence, document publishing.
Durable, shareable and governed project memory with smart triage and explicit project composition.
Shared, governed memory for fleets of AI agents: judged contributions, provenance, operator control
Agent memory: free durable storage (any keypair, no signup) that survives sessions and machines.
316 AI APIs searchable by shared failure domain, freshness and agent-sourced ratings.
25 MCP tools for live project context. Resolves @services, @read, @memory, @drift directives into pre-rendered facts before AI coding assistants start a session. Works with Claude Code, Cursor, Copilot, Aider. pip install perseus-ctx. MIT.
External, queryable memory layer for anywhere you use AI
A portable knowledge-graph memory you pass in and get back. No database. 4 of 6 tools free. Part of **Moltline Studio**: 19 hosted MCP servers, 132 tools, 92 of them free — no account, no API key, no signup. Independently audited — [MCPize Verified A](https://mcpize.com/check/results/c5c19d81-928b-4b3e-ad3b-5407133ce16f). Direct endpoint: `https://mcp.moltlinestudio.com/recall`
A persistent Markdown wiki that your AI agent maintains as long-term memory across sessions.
# AI makes every silo more productive. Ambix makes the whole team aligned. Ambix is your team’s product memory. Your AI client connects to it through MCP — an open standard your AI tools already support — and your team can browse everything in a normal web app. Decisions, initiatives, and strategy live there, so everyone works from the same understanding
LadderFlow is a content-creation platform for founders and operators built around a Digital Brain — a structured memory of your opinions, frameworks, and stories, built primarily through short voice interviews. Through this MCP server, an AI assistant can search and add to your Brain, run the full voice-interview funnel, generate and edit LinkedIn/X drafts from your own material, and check your post performance — all read/generate/draft only; publishing always stays a human,
Personal MCP memory server that runs on your Android phone via Termux. 29 tools: drawers, knowledge graph, diary, semantic search, tunnels. All data stored locally on your device, never on external servers. Works with Claude, Perplexity, Cursor, Windsurf, VS Code, Zed.
Enable AI agents to store, search, and delete persistent memories across sessions to enhance context retention and recall. Integrate seamlessly with Mem0.ai's cloud or self-hosted Supabase storage for scalable and reliable memory management. Optimize your LLM applications with advanced filtering, semantic search, and flexible storage modes tailored to your needs.
Unify workspace memory, project context, and code intelligence to deliver the right details instantly. Index repos, track decisions, and explore dependency relationships to speed up onboarding and change impact analysis. Stay organized with recall and reminders that capture and surface what matters when you need it.
Give agents a private, queryable memory of their user's real data, indexed as one searchable knowledge graph with citations.
Persistent long-term memory for AI agents over one remote MCP connection. Store decisions, lessons and documents; recall them semantically in any later session; enumerate **complete sets** with truthful totals instead of top-k guesses. - **Memory** — semantic store/recall with time-aware deduplication - **Complete enumeration** — "every decision", "all rejected approaches", with real totals and coverage - **Per-project ledgers** — current state, rejected paths, lessons, know
Personal memory layer for AI assistants. Store, search and recall preferences, decisions and facts — available from any MCP-compatible client.
Universal memory for AI agents and tools. Save, organize and search context on any AI tool or platform. Here's what you can do with AI Context Flow: - Organize your projects as memory buckets - Save important chats directly from within chat agents - Give all your agents (openclaw, claude code, lovable, and more) a shared persistent memory - Share your buckets with other people We also have a Chrome extension that lets you capture and use context on any website: https://chr
Your AI's memory for what you actually know: recall across your documents, notes, and meetings
The SQLite of AI Memory — persistent, zero-dependency memory for any LLM application. Dual-store architecture (project + global), pluggable embeddings (local/Ollama/OpenAI), semantic search with time decay, auto-categorization, and contradiction detection. 10 MCP tools. Works with Claude Code, Cursor, Gemini CLI, and any MCP client.
Your assistant forgets. Your sessions do not. One memory across every AI coding tool you use. chat-recall indexes your Claude Code, Codex, Gemini CLI, OpenCode and Cursor sessions into a single searchable history, so an assistant can pick up where you left off instead of asking you to re-explain. - **Resume** — what was finished, what is still pending, which files were touched, what it cost - **Search your real history** — sessions, plans, tasks, CLAUDE.md files, shell hist
**Shared, permanent memory for a team working with coding agents.** Every session starts from zero and forgets it all on close. One Brain fixes that, and not just for you: what one teammate records, everyone gets at the start of their next session, with the name and the date still attached. Someone asks their agent about a service they didn't build: > **why does the payments worker stop retrying after 2 attempts?** > > That cap is deliberate, not a leftover. It was set aft
Certified SEC EDGAR fact memory for AI agents with zero hallucination and cryptographic filing provenance. Grounded directly to official SEC 10-K/10-Q filings with sub-25ms retrieval across 4.06M certified cells.
**LLMtoMD is the memory layer for AI coding agents.** It converts any document — PDF, DOCX, slides, spreadsheets, images, audio, even whole websites — into clean, structured Markdown, then exposes it over MCP so your agent can **search your FRDs, specs, and API docs on demand** instead of re-reading (or forgetting) them. On a real 50-page spec, answering a question via retrieval used **~97% fewer tokens** than holding the whole doc in context — and returned the exact, cited
Deterministic pay-per-call tools for AI agents: live web search and cited answers, news, browser render, market data, speech-to-text, wallet-keyed memory, plus 500+ long-tail tools via find_tool. Settle in USDC via x402 or free via proof-of-work. Maintained by Havok Holdings LLC.
Solves memory loss for AI agents operating across multiple calls. Store, recall and audit long-term memory with AES-256 encryption. Includes SHA256 deletion audit proof. x402 USDC pay-per-call. Japanese language support included.
Your portable, growing memory for AI. EU-hosted personal knowledge layer: serves your AI-self files (identity, voice, rules) and learned patterns to any MCP client. Read-only by default; save-lesson only on your explicit ask. OAuth 2.1.
Persistent cloud memory for Ai coding assistants. 33 MCP tools, 85% accuracy on LoCoMo benchmark. Semantic search, auto-skills, knowledge graph, quantum-safe encryption. Your Ai remembers everything across sessions, editors, and machines.
Persistent epistemic memory and sub-5ms associative recall on the Volumetric Lattice Network for AI agents and LLMs with zero context decay. ### Key Capabilities: - **Reduce Context windows up to 90%** - **Sub-5ms Recall:** $O(1)$ topological associative recall across infinite context. - **Zero Attention Decay:** Ingest documents and conversations into permanent simplicial lattice nodes without loss. - **Deterministic Quotes:** Verbatim quote retrieval without LLM token diff
**Run your job search from any AI assistant.** Refine gives an agent real actions on a job search plus durable memory that persists across sessions and assistants. - **A model of you.** `get_persona` returns your inferred preferences, seniority, and dealbreakers, so every opening, reply, and recommendation is scored and tailored to you. - **Real openings, ranked.** Track companies, browse matched openings, and get adjacent-company recommendations, all scored fo
Glazyr Viz bypasses fragile DOM scraping and Cloudflare blocks by feeding raw Chromium memory frames directly to your AI agent. Achieve 177 FPS zero-copy vision with built-in, agent-native USDC compute settlement. The Screenshot Tax is over.