Claude Code Agent Memory plugins and skills

🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman

CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies

An agent meta-harness for Claude Code and Codex. Agent = Model + Harness. The model writes; the harness gives it tools, memory, loops, sandboxes, and controls so it can actually work.

An agent meta-harness for Claude Code and Codex. Agent = Model + Harness. The model writes; the harness gives it tools, memory, loops, sandboxes, and controls so it can actually work.

Search gives you raw pages. GBrain gives you the answer. It's the brain layer your AI agent has been missing — the only one that does synthesis, graph traversal, and gap analysis in one box.

The batteries-included agent harness.

#1 Persistent memory for AI coding agents based on real-world benchmarks

The other half of the context problem. Used across teams at

Hindsight: Agent Memory That Learns

Coding agents hallucinate APIs and forget what they learn in a session. Context Hub gives them curated, versioned docs, plus the ability to get smarter with every task.

Self-organizing AI second brain for Obsidian + Claude Code. Drop any source and Claude reads, links, and files it into one connected knowledge graph of plain Markdown you own. AI note-taking, personal knowledge management (PKM), and an open-source Notion alternative. Based on Karpathy's LLM Wiki pattern.

Git. Ship. Done. A light-weight meta-prompting, context engineering, and spec-driven development system for Claude Code, OpenCode, Antigravity CLI, Kimi CLI, Kilo, Codex, Copilot, Cursor, Windsurf, and more.

Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust binary that decides what they read, remembers what they learn, guards what they touch, and proves what they save. 60–90% fewer tokens as the receipt. 76 MCP tools, 30+ agents, local-first.

The one and only agent harness for complex codebases. Project memory, planning, execution, and verified completion inside Codex.

Letta Code is a stateful agent harness for creating agents that are more like people than tools. Letta Code agents have memory, identity, and a sense of experience over time.

A background agent that whispers to Claude Code. A subconcious agent that watches your sessions, reads your files, builds up memory over time, and whispers guidance back.

A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Milvus.

Intelligent prompt optimization for Claude Code. It injects the right context at the right moment - at prompt submit, tool use, and subagent start - so Claude has what it needs before it acts.

A reusable skill for building Karpathy-style LLM wikis with Claude Code, Cursor, Codex, and other Agent Skills tools. karpathy-llm-wiki packages Karpathy's LLM Wiki idea into one installable Agent Skills skill.

A universal AI bridge for Obsidian vaults using the Model Context Protocol (MCP) standard. Connect any MCP-compatible AI assistant to your knowledge base - works with Claude, ChatGPT, and future AI tools.

Web, Desktop & Mobile client for Codex, Claude Code, OpenCode, Kimi, Augment Code, Qwen, fully end-to-end encrypted

A hand-crafted collection of advanced context engineering techniques and patterns with minimal token footprint, focused on improving agent result quality and predictability.

Your AI's context should belong to you, not a platform. Symbiotic AI keeps it in plain files you own. Your identity, commitments, and current direction live in a handful of Markdown files you can read, edit, version, and carry to any model.

司南：个性化 AI 任务总控 Skills 系统 /COMPASS: Personal Alignment Skills OS for AI Agents

Agent command outputs are one of the biggest sources of token waste. Logs, test results, stack traces… thousands of tokens sent to an LLM just to answer a simple question. 🔥 distill compresses command outputs into only what the LLM actually needs.

Languages: English | 简体中文 | 日本語 The local-first LLM Wiki, knowledge graph builder, and RAG knowledge base for AI agents.

Your agents already solved this. deja finds it — it indexes the sessions your coding agents already wrote to disk, months of history from before you installed it, and recalls them automatically at session start across seventeen harnesses. 84.9% hit@1 on LongMemEval-S, no LLM, no embeddings. One zero-dep binary, fully local.

Streamline your workflow with Lynkr, a CLI tool that acts as an HTTP proxy for efficient code interactions using Claude Code CLI.

A Claude Code plugin that adds DuckDB-powered skills for data exploration and session memory.

Intelligent token optimization for Claude Code - achieving 95%+ token reduction through caching, compression, and smart tool intelligence

memX: self-learning, self-maintaining memory plugin for AI agents; native support for claude code, codex, and openclaw

Terminal pixel-art office for AI coding agents

Persistent, provider-neutral memory for Codex, Claude Code, OpenCode, Pi, and MCP coding agents.

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.

File-backed workflow harness for reliable Claude Code and Codex sessions.

Agent Skills for VueUse — a collection of essential Vue Composition Utilities. Experimental Project: Aims to help AI agents use libraries more accurately with fewer tokens. Feedback is welcome.

AI-native ontology engine: a Rust MCP server with tools for building, validating, querying, and reasoning over RDF/OWL ontologies. In-memory Oxigraph triple store, native OWL2-DL tableaux reasoner, SHACL validation, SPARQL, versioning. Single binary, no JVM.

100,000+ power users trust Cozempic to keep their Claude Code sessions lean. Context cleaning for Claude Code — remove the bloat, keep everything that matters, protect Agent Teams from context loss.

Make AI coding agents remember your project between sessions. project-butler helps Claude Code, Cursor, Codex, and similar AI coding assistants behave like long-term project teammates instead of starting from scratch every session.

LLM-powered knowledge base from your Claude Code, Codex CLI, Cursor, Gemini CLI, and Obsidian sessions. Built on Andrej Karpathy's LLM Wiki pattern.

Multi-agent team operating system for Claude Code. 108 MCP tools, 40+ agent templates, 10 lifecycle hooks, 7 pipeline workflows. Persistent teams, structured meetings, task wall, real-time React dashboard. No LangChain/AutoGen — pure CC native integration.

Hooks that force Claude Code to use LSP instead of Grep for code navigation. Saves ~80% tokens

Code is cheap. Context, control, and evidence are not. Let the model move the work forward. Let the human own goals, boundaries, permissions, checkpoints, evidence, and acceptance. Strong coding agents no longer stop at suggestions.

Agent skill for harness engineering — memory, permissions, context engineering, multi-agent coordination. Distilled from Claude Code, with Codex CLI and Gemini CLI on the roadmap. EN/ZH. Install via npx skills add.

New CLAUDE.md that solves the compaction/context loss problem and mimics persistent memory through effective session handoff in token efficient manner

Terminal-based AI chief of staff. Remembers relationships, tracks commitments, helps you think strategically. Runs on Claude Code.

An AI powered Personal Knowledge Assistance system, based on our business-proven ICOR methodology. Plain markdown. Any LLM. Yours forever. myPKA is a folder.

Three Kings 2.2: compress with iMandalArt, address with BIRD, and publish with an A4 eight-page booklet. iMandalArt, FIRE semantic analysis, planning, and publishing workflows for Claude Code, Codex, and mainstream LLM agents.