pearl-llm-memory
Externalized Cognitive State Transfer PEARL-LLM Memory (.pearl) is a JSON-based file format for storing structured, layered, verifiable context that persists across agent…
Plugin bundle · by reneemgagnon
About
pearl-llm-memory is a plugin bundle for AI coding tools published by reneemgagnon. Marketplaces we read that list it: 1 (Claude Code: claude-plugins-community). We first saw it on 2026-10-11 and have recorded no change since. As of our marketplace pass on 2026-10-21.
Externalized Cognitive State Transfer PEARL-LLM Memory (.pearl) is a JSON-based file format for storing structured, layered, verifiable context that persists across agent sessions. It gives autonomous agents a durable memory with immutable history, temperature-graded recall, cryptographic chain of custody, and branching decision trails. The format is agent-agnostic. The reference implementation is a zero-dependency Python CLI. Both are open.
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 Claude Code: claude-plugins-community declares.
/plugin marketplace add anthropics/claude-plugins-community
/plugin install pearl-llm-memory@claude-communityWhere it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Claude Code: claude-plugins-community (Open the source on GitHub) | Listed | fff8a3e | 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.
-
A project's long-term memory as plain Markdown files, with an append-only, tamper-evident log.
-
Deterministic long-term memory: every prompt captured, role-scoped memories served each turn, memory that survives /clear and compaction. Local only.
-
Persistent semantic memory for Claude Code. Stores knowledge in a local ChromaDB vector database and automatically retrieves relevant context on every message using Ollama bge-m3…
-
Long-term memory and context fitting for agents, with no LLM in the loop. Local SQLite.
-
Observing MCP + read-only console for lean-memory: store and search agent memories from Claude Code, then verify the supersession spine, per-hit score breakdown, and provenance…
-
Bitemporal memory for AI agents with deterministic supersession, point-in-time recall, local MCP, erasure proofs, and tamper-evident history.
-
goldhold io.github.jerrysrodz/goldhold
Persistent memory for AI agents. Search, store, and recall across sessions.
-
Persistent memory system for Claude Code - seamlessly preserve context across sessions
-
A lightweight, Git-backed permanent memory for AI agents.
-
Cognitive co-operator that gives AI agents persistent memory, learning, and work continuity. Includes session management, episodic/semantic memory (Atkinson-Shiffrin model…
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)
-
Persistent semantic memory for Claude Code. Stores knowledge in a local ChromaDB vector database and automatically retrieves relevant context on every message using Ollama bge-m3…
-
Persistent memory system for Claude Code - seamlessly preserve context across sessions
-
Cognitive co-operator that gives AI agents persistent memory, learning, and work continuity. Includes session management, episodic/semantic memory (Atkinson-Shiffrin model…
-
Keep Claude Code auto-memory lean. Triage (delete/archive/distill) memory files without losing forward-looking truth. Pairs with caveman.
-
engram io.github.tstockham96/engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
Has a listing on Claude Code: claude-plugins-official (5)
-
Langfuse observability plugin for Claude Code — captures and exports traces, spans, and session telemetry from Claude Code to Langfuse for LLM monitoring, debugging, and evaluation
-
DuckDB-powered skills for Claude Code: read any data file, attach and query DuckDB databases, search DuckDB/DuckLake docs, search past session logs, and install/update DuckDB…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Write accurate Pydantic AI code from the start. Up-to-date patterns, decision trees, and common gotchas for agents, tools, structured output, streaming, and multi-agent apps.
-
Create, connect, and interact with an AlloyDB for PostgreSQL database and data.
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.
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Skills, agents, and workflows for Honeycomb observability — query patterns, production investigations, SLOs, OpenTelemetry instrumentation, and Beeline migration. Designed to…
-
Atlan data catalog plugin for Claude Code. Search, explore, govern, and manage your data assets through natural language. Powered by the Atlan MCP server with semantic 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…
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…
-
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.
-
The Dropbox plugin for ChatGPT connects your Dropbox files directly to ChatGPT. You can access files, save ChatGPT-generated content to Dropbox, and create sharing links without…
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
Has a listing on Community GitHub marketplaces (5)
-
Deterministic long-term memory: every prompt captured, role-scoped memories served each turn, memory that survives /clear and compaction. Local only.
-
Observing MCP + read-only console for lean-memory: store and search agent memories from Claude Code, then verify the supersession spine, per-hit score breakdown, and provenance…
-
Bitemporal memory for AI agents with deterministic supersession, point-in-time recall, local MCP, erasure proofs, and tamper-evident history.
-
A lightweight, Git-backed permanent memory for AI agents.
-
yantrikdb-mcp io.github.yantrikos/yantrikdb-mcp
Cognitive memory for AI agents — semantic recall, knowledge graph, and contradiction detection
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Phoenix AI observability skills for LLM application debugging, evaluation, and tracing. Includes CLI debugging tools, LLM evaluation workflows, and OpenInference tracing…
-
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…
-
Self-Learning Multi-agent orchestration framework for spec-driven development and automated verification. With smarter tool calling and leaner context.
-
Arize AX platform skills for LLM observability, evaluation, and optimization. Includes trace export, instrumentation, datasets, experiments, evaluators, AI provider integrations…
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
Build and manage Microsoft Dataverse solutions using natural language. Includes table/column creation, solution lifecycle, data operations, and MCP server configuration.
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
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…
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
Has a listing on Cursor: cursor/plugins (5)
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Capture, search, and organize notes and collections.
-
if you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence.
-
Work with your Plaud recordings: list and search meetings and voice notes, read full transcripts with speaker labels, and pull AI summaries, action items, and key topics into your…
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
Has a listing on Docker MCP Catalog (5)
-
mcp-neo4j-memory io.github.neo4j-contrib/mcp-neo4j-memory
MCP Neo4j Knowledge Graph Memory Server
-
Production-ready RAG service to search and retrieve data from your documents.
-
A Model Context Protocol server for Omi interaction and automation. This server provides tools to read, search, and manipulate Memories and Conversations.
-
Knowledge graph-based persistent memory system.
-
Discovers and retrieves llms.txt from websites.
Has a listing on Official MCP Registry (5)
-
A project's long-term memory as plain Markdown files, with an append-only, tamper-evident log.
-
Long-term memory and context fitting for agents, with no LLM in the loop. Local SQLite.
-
goldhold io.github.jerrysrodz/goldhold
Persistent memory for AI agents. Search, store, and recall across sessions.
-
A lightweight, Git-backed permanent memory for AI agents.
-
mcp-external-memory io.github.daedalus/mcp-external-memory
An MCP server that gives LLMs persistent, searchable semantic memory
Has a listing on npm registry (MCP servers) (5)
-
gitmem io.github.gitmem-dev/gitmem
Persistent institutional memory for AI coding agents. Memory that compounds.
-
keymem io.github.donggyun112/keymem
Associative key-graph memory for LLM agents — recall by association, not vector similarity.
-
Persistent Project Context for xAI Grok
Persistent project context for xAI Grok. IANA-registered .faf format.
-
KEPTA — the memory for AI systems
Local encrypted memory for AI: hybrid search, 8 MCP tools, one file you own. Free, no cloud.
-
Shared project memory for Claude Code, Codex and Cursor: decisions and corrections through 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 the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.