Showing 325–336 of 377 attributed MCPNav entries in the 2026-10-09 snapshot. This is a licensed subset of the category’s 964 deduplicated directory records.
Source coverage: MCP.so 626 · MCPNav 377. Catalog counts can overlap; the listing cards below contain only MCPNav records.
io.github.sgx-labs/same
MCP provider published as SAME - Stateless Agent Memory Engine. Listed version: 0.12.1.
Directory description: Persistent memory for AI coding agents. Local-first SQLite + vector search. 17 MCP tools.
Scaffold is a Retrieval-Augmented Generation (RAG) system designed to structural understanding of large codebases. It transforms your source code into a living knowledge graph, allowing for precise, context-aware interactions that go far beyond simple file retrieval.
MCP server for Scrivener: read, write, analyze, and search your manuscripts with AI assistants.
io.github.0spoon/seamless
MCP provider published as Seamless. Listed version: 0.4.9.
Directory description: Local-first shared memory and task coordination for AI coding agents. Go daemon plus headless CLI.
Local memory for coding assistants: watches sessions and injects a compact summary at the start of each new one, stored in a SQLite file.
Local-first decision memory for AI agents: stores choices, rejected alternatives and reasons, failed attempts, outcomes, provenance and review conditions.
Cognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.
Simple memory for coding agents using DuckDB and VoyageAI.
Turn docs, GitHub repos, PDFs, videos, Confluence, Notion and Slack/Discord into AI skills and RAG knowledge, exportable to vector databases like Qdrant.
io.github.liza-studio/skillmem
MCP provider published as skillmem. Listed version: 0.12.1.
Directory description: Skill memory for coding agents: learn, recall, reinforce, decay. Local SQLite, no API key.
Local semantic search over Obsidian vaults via Smart Connections embeddings. Multi-vault, private.
Living technical memory for AI agents: recall approved project context, record what was learned.
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