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Local-first search engine and MCP server for AI agents. One Rust binary indexes code, docs, logs, JSONL/CSV and PDFs for BM25 full-text, vector and hybrid search, code search without grep, agent memory and RAG.

The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.

PentAGI is an innovative tool for automated security testing that leverages cutting-edge artificial intelligence technologies.

Persistent memory compression system built for Claude Code .

Search your computer by what's in your files: photos, PDFs, documents, recordings, videos and code. On-device on Mac, Windows and Linux, built on Google DeepMind's EmbeddingGemma 2.

In English: AIHOT (aihot.news) is an AI news site that collects from many sources, lets a language model filter and score every item twice, writes Chinese headlines and summaries, clusters reports of the same story into one event, ranks events by how many independent sources…

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.

Hy Memory (Official Website) is a production-grade dual-system cognitive memory engine and Python SDK (hy-memory) for self-evolving LLM agents, providing specialized memory pipelines across three task scenes: hierarchical long-term cognitive memory for Chat, two-layer fact and…

LangChain is a framework for building agents and LLM-powered applications. It helps you chain together interoperable components and third-party integrations to simplify AI application development — all while future-proofing decisions as the underlying technology evolves.

The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.

\ Run it as a server, declared as code; hundreds of agents operate and enrich the graph on parallel isolated branches, and every change is reviewed and merged safely.

Local UI to run and train LLMs and diffusion models. 8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.

The Claude Cookbooks provide code and guides designed to help developers build with Claude, offering copy-able code snippets that you can easily integrate into your own projects.

Modern documents increasingly contain diverse multimodal content—text, images, tables, equations, charts, and multimedia—that traditional text-focused RAG systems cannot effectively process.

Your coding agent remembers everything. No more re-explaining. Built on iii engine

Automation foundation model for tiny devices: 2-bit, 8-29 MB, tool calls, ASR, structured extraction and embeddings on phones, wearables, smart homes, robots, cars and microcontrollers.

NOTE] > We're Hiring! Build context graphs that power reliable, personalized, fast production AI agents. > Come build with us — we're hiring Engineers and Developer Relations folks.

> Like DeepWiki, but deeper. DeepWiki helps you understand code. GitNexus lets you analyze it — a knowledge graph tracks every relationship, not just descriptions.

A community-driven hub of 42+ runnable notebooks covering RAG techniques from foundational to cutting-edge - the intuition, the code, and the references to build more accurate, context-rich retrieval systems.

LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar

LlamaIndex OSS (by LlamaIndex) is an open-source framework to build agentic applications. Parse is our enterprise platform for agentic OCR, parsing, extraction, indexing and more.

Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.

> Note: You can also use pip if you prefer, but uv is recommended for better performance and more reliable dependency management.

Open-source desktop photo manager for macOS, Windows, and Linux.

mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local

Pydantic AI is the Python AI SDK: a typed, extensible agent loop with every model a string swap away. The same agent runs everywhere you need it: behind a web frontend, in the terminal, on a voice call, on a durable background queue, or as a plain object you call run() on.

Air-gapped, privacy-focused, open-source NotebookLM alternative. AI agent that researches, transforms, and edits your documents. Join our Discord:

We advise to run all examples through Google Colab for the easiest setup. Google Colab allows you to use a T4 GPU with 16GB of VRAM for free. All examples were mainly built and tested using Google Colab, so it should be the most stable platform.

The Engram module augments the backbone by retrieving static $N$-gram memory and fusing it with dynamic hidden states. The architecture is shown below (drawio provided):