stdio-proxy
2425kiarashplusplus/undisk-mcp-tracker
MCP server Claude CodeCodexCursor +2
Undisk MCP: safe file memory for AI agents. Runs locally from the @undisk-mcp/stdio-proxy npm package. Needs 1 environment variable to run.
12,531 mods in this category, of every kind an agent can take. Each one carries what it costs per session, what the scan found, and whether it is the original.
kiarashplusplus/undisk-mcp-tracker
MCP server Claude CodeCodexCursor +2
Undisk MCP: safe file memory for AI agents. Runs locally from the @undisk-mcp/stdio-proxy npm package. Needs 1 environment variable to run.
MCP server Claude CodeCodexCursor +2
Long-term memory for AI assistants: permanent, portable across clients, searchable and exportable. Remote server at mcp.ambermem.com.
MCP server Claude CodeCodexCursor +2
Connect agents to 6DuckLearn memory, approvals, and runtime control. Remote server at 6ducklearn.com.
Plugin Claude Code
Bundles 1 skill, 1 MCP server · 75 tokens together
AI-native structured memory for agents (lore/doc) for Claude Code. This plugin is a free distribution channel for the LinkLore MCP server; team sync, cross-project sharing, and cloud backup are a paid backend service (subscription) at linklore.io.
MCP server Claude CodeCodexCursor +2
Personality Runtime for AI agents — persistent memory, personality, and relationships via MCP. Runs locally from the @ruddia/being-mcp-server npm package. Needs 4 environment variables to run.
MCP server Claude CodeCodexCursor +2
Save AI conversations into your Worldku memory and recall them from any MCP client. Remote server at mcp.worldku.com.
AINative-Studio/ainative-zerodb-memory-mcp
Skill Claude CodeCodex
Use ZeroDB persistent memory to store and recall facts, decisions, and context across agent sessions. Invoke when storing user preferences, project context, implementation decisions, or searching prior conversation history.
Skill Claude CodeCodex
Scoped memory across every project you have registered: what a project does, why a decision was made, and whether you have solved something before. Use when the user types /loci (any subcommand), asks about work in another project, asks why something was done a particular way, wonders whether a problem has been solved…
Plugin Claude Code
Bundles 2 skills, 1 hook · 154 tokens together
The artifact store for AI agents — persist, retrieve, and share agent outputs across runs, sessions, and tools.
MCP server Claude CodeCodexCursor +2
Persistent memory and session intelligence for AI coding assistants. Zero config. Runs locally from the session-forge npm package.
Plugin Claude Code
Bundles 1 skill, 1 MCP server · 139 tokens together
AI explores. You decide. DecRec remembers.
MCP server Claude CodeCodexCursor +2
Persistent, verified memory for AI coding agents: recall, capture, guardrails, review queue. Runs locally from the aidimag npm package. Needs 3 environment variables to run.
MCP server Claude CodeCodexCursor +2
Multi-agent memory intelligence with expertise tracking and conflict detection. Runs locally from the neurohive npm package.
MCP server Claude CodeCodexCursor +2
One private, local memory your AI tools share. Cross-model, on-device, never lose a session. Runs locally from the epiphany-mcp npm package.
MCP server Claude CodeCodexCursor +2
MCP server for Junê — give any MCP agent (Claude Desktop, Claude Code, …) a shared, cited knowledge-graph memory backed by a June endpoint. Runs locally from the june-mcp Python package. Needs 13 environment variables to run.
MCP server Claude CodeCodexCursor +2
Local-first MCP memory server for persistent LLM knowledge and BM25 retrieval. Runs locally from the dense-knowledge-mcp Python package.
Skill Claude CodeCodex
Compose and save a durable, wayback-grade session snapshot to UltraMemory. Use this whenever you are asked to write a session snapshot or rollup of the work just done — in particular when the UltraMemory capture hook nudges you to "Compose a session snapshot per the ultramemory-snapshot Skill rubric ... and save it…
MCP server Claude CodeCodexCursor +2
MCP server for self-hosted AI agent memory, semantic search, vector RAG, and Montycat. Runs locally from the memocat-mcp Python package. Needs 2 environment variables to run.
MCP server Claude CodeCodexCursor +2
Token-aware message truncation: fit a chat history into your model's context budget. Runs locally from the @mukundakatta/agentfit-mcp npm package.
MCP server Claude CodeCodexCursor +2
Rarefied Earth Groundwork MCP: company memory for AI agents. 14-day full-access trial, no card. Remote server at connector.rarefied.earth.
MCP server Claude CodeCodexCursor +2
MCP server "memory-engine-mcp" as configured in SimoneB79/memory-engine-mcp. Runs in Docker (ghcr.io/simoneb79/memory-engine-mcp:1.5.3). Needs 3 environment variables to run.
Skill Claude CodeCodex
Persistent knowledge graph memory for AI agents via MCP. Use when agents need to remember facts across sessions, track decisions, build knowledge graphs, manage project context, or maintain structured long-term memory. Triggers on: remember this, store fact, what do we know about, search memory, knowledge graph, graph…
Skill Claude CodeCodex
The ultimate, autonomous memory skill for the Kirok MCP server. Teaches the AI to proactively manage long-term memory (Retain, Recall, Reflect) without explicit user prompting. Establishes strict bank taxonomy and operational rules.
Skill Claude Code
Session handoffs & standing project memory from Claude Code history, via the chf CLI. Use when the user wants to continue or hand off work in another model or a fresh session, recover a crashed or usage-limited session, export or summarize a past session, find a session by content ('where did we talk about X'), or…
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