ai.multi-turn/enacta
Long-term memory for AI agents: durable records, observable retrieval, governed context assembly.
MCP server · by multi-turn.ai
About
ai.multi-turn/enacta is an MCP server published by multi-turn.ai. Marketplaces we read that list it: 1 (Official MCP Registry). We first saw it on 2026-10-11 and have recorded no change since. As of our marketplace pass on 2026-10-12.
What it asks for
- Runs remotely
None of the marketplaces we read publishes its tools or the settings it asks for.
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Connect
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Official MCP Registry (Open the registry record) | Listed | 1.0.0 | No figure published | Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
What changed
Nothing has moved on this plugin since we started watching it.
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
Managed long-term memory for AI agents, with evolving facts and relevant retrieval through MCP.
-
mengram io.github.alibaizhanov/mengram
Long-term memory for AI agents: semantic facts, episodic events, and procedural workflows
-
telemem io.github.TeleAI-UAGI/telemem
Long-term and multimodal memory for AI agents - character-aware, mem0-compatible, fully-local option
-
Long-term memory for AI agents: learns what is true about each person and answers with sources.
-
Local-first, governable long-term memory for AI coding agents
-
tacitus-mcp-server io.github.ionasrobert/tacitus-mcp-server
Long-term memory for AI agents: local-first PKM with provenance and hybrid search.
-
Persistent local memory for coding agents: temporal knowledge graph, procedural and episodic recall
-
Stateful memory for AI agents. Temporal awareness, error loop detection, and preventive constraints.
-
Persistent memory for AI agents — log and recall conversation context over MCP.
-
archetypal-ai io.github.archetypal-ai/archetypal-ai
Persistent memory for AI agents. recall, remember, checkpoint — soul preservation.
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
-
Save 60-90% on LLM token costs with intelligent memory compression. agent-memory automatically compresses tool output into structured observations, shares context across agents…
-
Local-first persistent session memory for Claude Code and other agents. SQLite + FTS5, no cloud.
-
Cognitive co-operator that gives AI agents persistent memory, learning, and work continuity. Includes session management, episodic/semantic memory (Atkinson-Shiffrin model…
Has a listing on Claude Code: claude-plugins-official (5)
-
Continuous memory for Claude Code. Extracts, summarizes, and compresses conversations into tiered daily logs. Claude remembers what you did yesterday.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Build, deploy, and operate AI agents on AWS. Skills for scaffolding agents with Amazon Bedrock AgentCore, connecting tools, memory, policies, evaluation, debugging, and production…
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
mdk-mcp-server io.github.SAP/mdk-mcp-server
Model Context Protocol (MCP) server for AI-assisted development of MDK applications.
Has a listing on Claude: knowledge-work-plugins (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Connects Claude Code to the Synthflow AI voice-agent platform through its hosted MCP server, with skills for reviewing calls and auditing agent prompts, plus a docs-search…
-
Sanity content platform integration with MCP server, agent skills, and slash commands. Query and author content, build and optimize GROQ queries, design schemas, and set up Visual…
-
MCP server for terminal commands, file operations, and process management
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
Granola MCP connects your meeting history to ChatGPT so your assistant can pull real context from past conversations while you work. Use MCP when you're already working on…
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
Has a listing on Community GitHub marketplaces (5)
-
bettermemory io.github.0Mattias/bettermemory
Memory for coding agents, checked against the filesystem and git before it is believed.
-
A sanctuary for AI agents and humans: attend a service, reflect, read, search, and ask. No auth.
-
Shared session bus so Cursor can hand off with Claude, Codex, Grok, and friends.
-
4da-mcp-server io.github.4DA-Systems/4da-mcp-server
Upgrade intelligence for AI agents: what an upgrade changes, where it touches your code, CVE scans.
-
agents-party io.github.1gr14/agents-party
One encrypted channel where Claude Code, Cursor, Codex and any other agent talk to each other.
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Maps branching Copilot conversations so parallel follow-up questions and exploration paths from complex tasks or learning can be navigated without losing context. Its visual…
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Comprehensive collection for building declarative agents with Model Context Protocol integration for Microsoft 365 Copilot
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
Has a listing on Cursor: cursor/plugins (5)
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Patterns for designing CLIs that coding agents can run reliably: flags, help with examples, pipelines, errors, idempotency, dry-run.
-
Capture, search, and organize notes and collections.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
Has a listing on Docker MCP Catalog (5)
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
Server-enforced workflow discipline for AI agents: work items, dependency graphs, quality gates
-
A Model Context Protocol server for Omi interaction and automation. This server provides tools to read, search, and manipulate Memories and Conversations.
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
Has a listing on Official MCP Registry (5)
-
Managed long-term memory for AI agents, with evolving facts and relevant retrieval through MCP.
-
mengram io.github.alibaizhanov/mengram
Long-term memory for AI agents: semantic facts, episodic events, and procedural workflows
-
telemem io.github.TeleAI-UAGI/telemem
Long-term and multimodal memory for AI agents - character-aware, mem0-compatible, fully-local option
-
Long-term memory for AI agents: learns what is true about each person and answers with sources.
-
Local-first, governable long-term memory for AI coding agents
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Is this your plugin?
Add it to your projects and prove you maintain it with a file in its repository, a file on your domain or a DNS record. You get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.