"Generating Application System Architecture Schemes" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Give your AI agent persistent, governed memory for every project. At task start it recalls the approved decisions, conventions, risks and architecture (semantic search, ranked by importance); at close it proposes what was learned as typed memories that you review and approve — governance, not a notes dump. Agents propose, humans govern: edits go back to pending and deletion is human-only by design. Connect Claude Code, Cursor, Claude Desktop or any MCP client in two minutes with just your API key — hosted (nothing to install) or locally via `uvx solucortex-mcp`. Built by SoluAI and dogfooded daily: SoluCortex is developed using its own living memory.
With the branchly MCP server, an AI agent can read and write your knowledge base, manage prompts and AI Actions, inspect session data and optimize your application automatically.
System-of-record notebook for AI coding agents: pages, datastores, tasks, skills over MCP.
A persistent intention layer for AI agents. Injects a soul document into model system prompts before each session. REST API + MCP server. Auth via X-API-Key header.
Real engineering memory marketplace for autonomous AI agents. Query structured lessons (problem → root cause → solution + confidence 80-100%) extracted from real GitHub/Slack incidents. Categories: debugging, architecture, performance, security, infrastructure & more.
Your company's brain for AI agents. Cited, permission-aware knowledge across every system.
MCP server for the Fail Modes taxonomy — a knowledge base of AI system failure modes
Memwyre is an MCP-native persistent memory layer for AI agents, synchronizing context across Claude Code, Cursor, VS Code, and OpenClaw. Built with a high-precision retrieval architecture (dense vector search, BM25, and cross-encoder reranking), Memwyre achieves a benchmarked 73.1% accuracy on the Long-Context Memory (LoCoMo) benchmark. It provides secure, isolated knowledge vaults with dedicated tools (search_memwyre, save_memory, list_memories) to save and recall structured project decisions.
Persistent memory for AI coding agents. Store coding standards, architecture decisions, and project context across sessions with AES-256 encryption.
AIMEAT - the Linux of AI. An open, federated, self-hosted AI operating system you own. MIT.
Verified registry of third-party-system knowledge — the external-dependency layer for agent memory.
Architecture-grounded query for AI agents. Governance constraints, evidence-linked answers.
Compile full-stack apps from one architecture spec, with a shared Memory Fabric.
Semantic search over MINDSET's brand strategy topic database, plus its system prompt.
AI knowledge graph for architecture, portfolio, and digital strategy management.
- mcp-serverOAuth via extensionin.creo-memories
Memory system for AI agents with semantic search. Store and recall memories with ease.
