recall
Fully-local project memory for Claude Code: logs each session to .recall/history.md and condenses it into .recall/context.md with a vendored TF-IDF + TextRank summarizer. No API…
Plugin bundle · by Raiyan Yahya
About
recall is a plugin bundle for AI coding tools published by Raiyan Yahya. Marketplaces we read that list it: 1 (Community GitHub marketplaces). The last change we recorded was on 2026-11-07. As of our marketplace pass on 2026-11-08.
Fully-local project memory for Claude Code: logs each session to .recall/history.md and condenses it into .recall/context.md with a vendored TF-IDF + TextRank summarizer. No API key, no external model.
What it asks for
- Installs as a plugin bundle
- Hooks: 3
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 raiyanyahya/recall
/plugin install recall@recall
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Community marketplace raiyanyahya/recall (Open the source on GitHub) | Listed | 0.4.0 | Forks (GitHub): 45 Stars (GitHub): 766 |
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) |
|---|---|---|
| recall | raiyanyahya/recall | 766 |
How its figures have moved
- 2026-11-0545
- 2026-11-0745
- 2026-11-05764
- 2026-11-06765
- 2026-11-07766
Each dot is a day we read a different number; flat stretches are days the number did not move. Figures of different marketplaces are never added up.
What the bundle contains
As published on Community GitHub marketplaces.
Commands: 3
logsaveshow
Hooks: 3
SessionEndSessionStartStop
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.
-
Coding Agents forget everything when a session ends. total-recall fixes that: a shared memory layer that persists across sessions, tools, and devices. Memory is organized into…
-
Persistent conversation memory for Claude Code. Semantic search across past sessions, session continuity detection, cross-project intelligence, and predictive context injection…
-
Persistent semantic memory for Claude Code — auto-injects relevant context at session start, captures git commits, test results, and research via hooks, and provides 30+ MCP tools…
-
Persistent conversation recall for Claude Code. Indexes every exchange into a local SQLite database so you can search, browse, and recover context at any time. Survives /clear…
-
Topic-based automatic memory for Claude Code — never lose context across sessions or compactions.
-
Persistent memory for Claude Code — at ~350 tokens ambient cost, with no Docker, no API keys, and no MCP servers. Engram captures your sessions structurally on PreCompact (zero…
-
Persistent long-term memory for Claude Code — wires SessionStart/UserPromptSubmit/PostToolUse hooks, MCP tools, memory skills, and the memory-review agent into a running Remnic…
-
Persistent memory for AI coding agents. SQLite knowledge graph with scoped entities, MCP tools, and LLM-summarized briefings.
-
Automatic local memory across sessions and agents (Claude Code, Codex). No model calls to save.
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)
-
Coding Agents forget everything when a session ends. total-recall fixes that: a shared memory layer that persists across sessions, tools, and devices. Memory is organized into…
-
Persistent conversation memory for Claude Code. Semantic search across past sessions, session continuity detection, cross-project intelligence, and predictive context injection…
-
Persistent conversation recall for Claude Code. Indexes every exchange into a local SQLite database so you can search, browse, and recover context at any time. Survives /clear…
-
Persistent memory for Claude Code — at ~350 tokens ambient cost, with no Docker, no API keys, and no MCP servers. Engram captures your sessions structurally on PreCompact (zero…
-
Persistent memory for AI coding agents. SQLite knowledge graph with scoped entities, MCP tools, and LLM-summarized briefings.
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.
-
Generate an explorable HTML report of Claude Code session usage — tokens, cache efficiency, subagents, skills, and the most expensive prompts — from local ~/.claude/projects…
-
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
-
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…
Has a listing on Claude: knowledge-work-plugins (5)
-
Streamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
-
Bring Qodo's codebase intelligence, coding standards, and code review into your coding agent.
-
MCP server for terminal commands, file operations, and process management
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
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.
-
AI-powered code review in Codex, powered by CodeRabbit.
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
-
Turn Codex into your ClickUp command center.
Has a listing on Community GitHub marketplaces (4)
-
Persistent semantic memory for Claude Code — auto-injects relevant context at session start, captures git commits, test results, and research via hooks, and provides 30+ MCP tools…
-
Topic-based automatic memory for Claude Code — never lose context across sessions or compactions.
-
Persistent long-term memory for Claude Code — wires SessionStart/UserPromptSubmit/PostToolUse hooks, MCP tools, memory skills, and the memory-review agent into a running Remnic…
-
Automatic local memory across sessions and agents (Claude Code, Codex). No model calls to save.
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Shows live prompt-cache reuse, expiry, token composition, and AI Credit cost for the current GitHub Copilot session without making model calls.
-
Meta prompts that help you discover and generate curated GitHub Copilot agents, instructions, prompts, and skills.
-
Analyze any repository and generate AI-ready configuration — AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates…
-
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…
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
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.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Advanced Security plugin for GitHub Copilot.
-
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.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Search meeting transcripts, summaries, and action items.
Has a listing on Docker MCP Catalog (5)
-
Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
-
A Model Context Protocol server for Omi interaction and automation. This server provides tools to read, search, and manipulate Memories and Conversations.
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
MCP server for terminal commands, file operations, and process management
-
Production-ready RAG service to search and retrieve data from your documents.
Has a listing on Official MCP Registry (5)
-
Persistent local memory for coding agents: temporal knowledge graph, procedural and episodic recall
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
-
Evidence-backed project memory and checkpoints for AI coding agents.
-
Persistent, local-first memory for AI coding agents. Remember, recall and forget across sessions.
-
Graph-vector memory for AI assistants using FalkorDB and Qdrant
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.
-
Zero-config MCP server for searchable documentation. SQLite or PostgreSQL.
-
Let one coding-agent CLI consult another: Codex, Claude Code, OpenCode, Copilot or Antigravity.
-
marm-mcp-server io.github.Lyellr88/marm-mcp-server
Universal MCP Server with advanced AI memory capabilities and semantic search.
-
yantrikdb-mcp io.github.yantrikos/yantrikdb-mcp
Cognitive memory for AI agents — semantic recall, knowledge graph, and contradiction detection
Has a listing on npm registry (MCP servers) (5)
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
-
Automatic development memory for AI coding agents: turns your Claude Code, Codex, Gemini, Cursor, Copilot, Cline, Devin, OpenCode, Antigravity and Kimi Code sessions into…
-
One searchable history across every AI coding tool, with secret scanning and a shared task board.
-
Local-first memory for AI coding agents — Markdown + SQLite FTS5, shared across editors via MCP.
-
memoir io.github.camgitt/memoir
Persistent memory for AI coding tools via MCP. Remembers across sessions and machines.
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.