Context, Memory & RAG tools for Codex / OpenAI

Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want

A modular graph-based Retrieval-Augmented Generation (RAG) system

Persistent memory server for coding agents that retrieves only the top-K relevant observations via hybrid BM25 + vector + graph search instead of loading a whole memory file into context (~1,900 vs 22K+ tokens at 240 observations, 92% fewer). Reports 95.2% R@5 on LongMemEval-S with a local embedding model, plus a reproducible eval harness to check that claim. One server serves 20+ agents (Claude C

Memory library for building stateful agents

An AI-powered custom node for ComfyUI designed to enhance workflow automation and provide intelligent assistance

Agent Package Manager

Mounts S3, Slack, Gmail, GitHub, and Redis side-by-side as a single virtual filesystem so agents interact with every backend through familiar bash commands instead of learning N distinct APIs. The key harness insight: LLMs are already fluent in grep, cat, and cp — leveraging that vocabulary eliminates tool-schema bloat and makes cross-service pipelines compose as naturally as local shell scripts

Agents that self-improve with experience

distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency

Portable project memory across Claude Code, Codex and OpenCode, plus token accounting measured from harness transcripts. Local file I/O, no API calls, no telemetry.

Vector database plugin for Postgres, written in Rust, specifically designed for LLM

Self-improving executable context layer for data and analytics agents: it ingests warehouses, BI tools, and wikis to build a semantic layer with approved metrics, joinable columns, and resolved fan/chasm traps, then serves the result to Claude Code, Codex, and Cursor through MCP. Fills the gap where general-purpose agents invent metric logic on every question — it turns warehouse querying from a p

Repository-level operating harness that turns any software repo into an agent-ready workspace: structured AGENTS.md, HARNESS.md, and FEATURE_INTAKE.md give agents the missing project context — where to start, what the product contract says, how risky the change is, and which decisions future agents should inherit. The most concrete open-source implementation of "coding agents need better repositor

Self-updating repo wiki for AI coding agents that tracks project conversations and context locally, lives in your repo, and is free to use

A 10x faster, cheaper, and better vector database

Turns corrections into Preferences, Project-specific skills, and Shared skills for Claude Code, Codex, and OpenCode.

AI 应用开发、AI 编程实战与面试指南，涵盖 LLM、Agent、RAG、MCP、Claude Code、Codex 等核心技术与工程实践。

A persistent, file-based memory layer for coding agents — give Claude Code, Codex & others a project brain (durable decisions, requirements, constraints) via a zero-dependency CLI.

by David Corvoysier - Durable cross-agent memory for Claude Code, Codex, pi, and Hermes. Your memory is a Hugging Face dataset you own: recall it from any machine or share it with your team. Single binary, local index, pinned local embedding models

从 0 复刻 WorkBuddy-style 桌面 AI 助手 Harness：24 章 Python 教程，覆盖 Agent Loop、工具调用、记忆系统、Sidecar、沙盒审计、DeepSeek/OpenAI 评测轨迹

Notes for you, Memory for your agents. / 内置 Deepseek harness Agent / 适用 办公 & 写作 & Coding

Open-source, Git-native memory for AI coding agents — deterministic local recall for Claude Code, Codex, Cursor, Gemini CLI, and compatible tools.

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

斯坦福 Stanford CS329Z Engineering AI Agents 中文教程：面向 Python 开发者的 AI 智能体课程，19 讲与 4 项实践，涵盖 LLM、RAG、工具调用、记忆、多智能体、评测与安全。完整 Markdown、在线与离线 HTML。Chinese course notes.

Markdown-first shared memory vault for Claude Code and Codex with SQLite, Zvec, Git, closeout, and audit

Open-source AI meeting notes for Mac. Records mic + system audio with no bot, transcribes on-device or via OpenAI / Deepgram / Groq, identifies speakers offline, and writes summaries that fuse your notes with the transcript. Ask your notes and get cited answers. Tauri 2 + Rust + Swift.

LLMInternSkill: LLM internship resume and job-search Codex Skill for resume polish, JD tailoring, evidence guard, interview grilling, and Project Scout. 大模型实习简历与求职工具箱。

A streamlit app to dialog with your second brain notes using OpenAI and ChromaDB locally. github

Letta's July 2026 library that normalizes native session transcripts from 15+ harnesses (Claude Code, Codex, Cursor, OpenCode, Pi, Gemini CLI, OpenHands, and more) into one validated, model-ready record format. Fills a real infrastructure gap — every runtime logs the same concepts (messages, reasoning, tool calls, results) in incompatible formats — and is explicitly designed for *agent* consumptio

Organization-as-code with brain-inspired memory

AI Native database for embedding vectors

Memory component for agents that keeps each memory with its source evidence in one local SQLite file and retires memories recorded as depending on a source when that source is corrected; TypeScript SDK, stdio MCP server, CLI and HTTP API, with exact replay and bisect in the 3.0 pre-release. MIT

Engineering discipline layer for Claude Code -- 67 slash commands, 20 coding rules, 27 skills, 9 agents, quality gates between every step. 8 stack profiles (Go, Python, Java, Kotlin, React, etc.), agent memory across sessions. Install: npx @c0x12c/spartan-ai-toolkit@latest --local

Drop-in 12-rule CLAUDE.md + AGENTS.md baseline that closes common agent-orchestration failures (token spirals, silent partial failures, two-pattern pollution). Includes PRD generator prompt, browser-skill-graduation workflow, and 5 example skills. ~700 tokens total, MIT

by jungjaehoon-lifegamez - Always-on companion for Claude that remembers your decisions and their evolution. Local-first memory using SQLite + transformers.js embeddings

by serpro69 - 🦫 Privacy-first virtualization layer for LLM context with MCP protocol for tool access

Extracts structured data from documents with an LLM, then grounds every field against the source text to flag hallucinated values automatically

One source of truth for AI coding rules across every IDE. Author rules, agents, and skills once in plain markdown, and the engine routes them into each tool's native format (Claude Code, Cursor, Copilot, Codex, Pi, OpenCode, AGENTS.md) with no duplication or drift. Zero dependencies, bash + awk, MIT

Single-file Python linter that scores any CLAUDE.md / AGENTS.md against a 12-rule baseline. Flags leaked secrets (GitHub PATs, AWS keys, PayPal links), the 200-line compliance cliff, and missing project-specifics sections. Zero dependencies, JSON output for CI, MIT

Cross-agent registry and CLI for discovering and installing 220+ AI assets including skills, prompts, MCP configs, and workflows