Session & Memory
Memory search/learn, chat history, daily planning, reviews, model switching, session save/restore.
Plugin bundle · by Zhemal Khamidun
About
Session & Memory is a plugin bundle for AI coding tools published by Zhemal Khamidun. Marketplaces we read that list it: 1 (Community GitHub marketplaces). We first saw it on 2026-10-23 and have recorded no change since. As of our marketplace pass on 2026-10-25.
What it asks for
- Installs as a plugin bundle
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.
Works with
- Claude Code
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a Claude Code plugin
Built from what Community GitHub marketplaces declares.
/plugin marketplace add jhamidun/claude-code-config-pack
/plugin install session-tools@hamidunWhere it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Community marketplace jhamidun/claude-code-config-pack (Open the source on GitHub) | Listed | 0.1.1 | Forks (GitHub): 10 Stars (GitHub): 12 |
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.
Listed in one community marketplace
| Marketplace | Repository | Stars (GitHub) |
|---|---|---|
| hamidun | jhamidun/claude-code-config-pack | 12 |
What the bundle contains
As published on Community GitHub marketplaces.
Skills: 8
away-summarybtwdreammemory-agentsave-knowledge-baseself-reflectsession-mentoryear-review
Commands: 14
context-optimizegtdmemory-extractmemory-ingestmemory-learnmemory-searchmemory-statsplan-my-dayprompt-logrename-sessionssearch-chatsself-learn
Show the remaining 2
ultra-thinkweekly-synthesis
Agents: 1
memory-agent
What changed
- Became a product we track
- Community GitHub marketplaces: appeared
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.
-
Active memory writing during conversation, plus manual /memory:consolidate with theme clustering, ground-truth prune, adversarial pass, and machine validator — no…
-
agent-memory-hardened
Persistent memory for AI agents: remember facts, learn from experience, and track entities across sessions.
-
Persistent memory with session tracking, compaction recovery, and Memory Protocol. Gives Claude a brain that survives across sessions.
-
Graph-vector memory for AI assistants using FalkorDB and Qdrant
-
Governed orchestration across AIWG line memory, semantic memory, and llm-wiki.
-
Local memory with full-text recall and a recall-and-save skill.
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
The bridge between Claude's working memory and Basic Memory's durable knowledge graph — session briefings, pre-compaction checkpoints, and capture reflexes
-
Personal AI memory layer. Capture decisions, lessons, and context that carry across sessions.
-
Cross-agent skills and commands powered by Entire
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.
-
Personal AI memory layer. Capture decisions, lessons, and context that carry across sessions.
-
Connect Mem0 to Claude to give your agent persistent memory across sessions. Claude can store user preferences, project context, and conversation history, then search, update, or…
-
Every AI tool forgets you. This one doesn't. Ever. Auto-saves your preferences, decisions, and lessons to .ilang/ — survives every session, every tool, every migration.
-
Save 60-90% on LLM token costs with intelligent memory compression. agent-memory automatically compresses tool output into structured observations, shares context across agents…
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.
-
Easily create custom hooks to prevent unwanted behaviors by analyzing conversation patterns or from explicit instructions. Define rules via simple markdown files.
-
Interactive self-referential AI loops for iterative development, implementing the Ralph Wiggum technique. Claude works on the same task repeatedly, seeing its previous work, until…
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
Create new skills, improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to…
Has a listing on Claude: knowledge-work-plugins (5)
-
Manage tasks, plan your day, and build up memory of important context about your work. Syncs with your calendar, email, and chat to keep everything organized and on track.
-
Secure access to Miro boards. Enables AI to read board context, create diagrams, and generate code with enterprise-grade security.
-
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…
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Triage tickets, draft responses, escalate issues, and build your knowledge base. Research customer context and turn resolved issues into self-service content.
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
Turn Codex into your ClickUp command center.
Has a listing on Community GitHub marketplaces (5)
-
Active memory writing during conversation, plus manual /memory:consolidate with theme clustering, ground-truth prune, adversarial pass, and machine validator — no…
-
agent-memory-hardened
Persistent memory for AI agents: remember facts, learn from experience, and track entities across sessions.
-
Persistent memory with session tracking, compaction recovery, and Memory Protocol. Gives Claude a brain that survives across sessions.
-
Graph-vector memory for AI assistants using FalkorDB and Qdrant
-
Governed orchestration across AIWG line memory, semantic memory, and llm-wiki.
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
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…
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Goal-driven task orchestration with independent verification. Interviews the user to define a clear goal, then loops between a Builder subagent (does the work) and an Inspector…
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
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-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
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.
-
Capture, search, and organize notes and collections.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Search, create, and update documents and daily notes.
Has a listing on Docker MCP Catalog (5)
-
A Model Context Protocol server for Omi interaction and automation. This server provides tools to read, search, and manipulate Memories and Conversations.
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Real-time web search, reasoning, and research through Perplexity's API
-
Provides tools to search and retrieve Google Gemini API documentation.
-
mcp-neo4j-memory io.github.neo4j-contrib/mcp-neo4j-memory
MCP Neo4j Knowledge Graph Memory Server
Has a listing on Official MCP Registry (5)
-
Graph-vector memory for AI assistants using FalkorDB and Qdrant
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
-
Skill memory for coding agents: learn, recall, reinforce, decay. Local SQLite, no API key.
-
Shared, governed long-term memory for AI agents across tools and sessions via MCP and REST.
-
neural-memory io.github.nhadaututtheky/neural-memory
Persistent memory for AI agents — 55 MCP tools, spreading activation recall.
Has a listing on PyPI (MCP servers) (5)
-
hypermnesia-mcp io.github.cdeust/hypermnesia-mcp
Persistent memory for AI agents — 36 cited neuroscience mechanisms, local-first, hybrid retrieval.
-
marm-mcp-server io.github.Lyellr88/marm-mcp-server
Universal MCP Server with advanced AI memory capabilities and semantic search.
-
mnemo io.github.n24q02m/mnemo
Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.
-
perplexity com.mcparmory/perplexity
Search the web, generate AI responses, and create embeddings with real-time information
-
Shared, cited knowledge-graph memory for agents — ask, search, remember, keep standing instructions
Has a listing on npm registry (MCP servers) (5)
-
ori-memory io.github.aayoawoyemi/ori-memory
Persistent memory infrastructure for AI agents. Identity, knowledge graph, and search.
-
superlocalmemory io.github.varun369/superlocalmemory
Local-first AI memory with knowledge graphs and hybrid search. 17+ AI tools via MCP. Free.
-
Evidence-grounded agent memory with mandatory provenance, on local SQLite or Cloudflare D1
-
remem-mcp — Local-first MCP Memory + CodeGraph + Wiki
Local-first memory for AI coding agents. Memory + CodeGraph + Wiki in one SQLite file.
-
Local-first memory for AI coding agents — Markdown + SQLite FTS5, shared across editors via MCP.
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.
Want this mark on your plugin in our catalog?
Prove you maintain it with a file in its repository, a file on your domain or a DNS record, and you can show this mark on the card, with live banners for your site and README. How verification works
You also 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 public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.