ACAcontext
A context data platform for self-learning agents to store, observe, and distill experiences.
Retrieval, memory, indexing, knowledge organization, and data connectivity.
Memory layers, context compression, and state management for AI systems.
ACA context data platform for self-learning agents to store, observe, and distill experiences.
AGAgentic Context Engine (ACE) is a framework and implementation for enabling agents to learn from experience through structured context engineering.
AGPersistent memory layer for AI coding agents, enabling cross-session context retention based on real-world benchmarks.
BAA local-first knowledge-as-Markdown system that lets LLMs read and write your memory via the Model Context Protocol (MCP).
CLA Claude Code plugin that captures coding-session context, compresses it with AI, and injects relevant memory into future sessions.
COOpen-source AI memory platform that gives agents persistent long-term memory across sessions, backed by a self-hosted knowledge graph engine.
DEDexio is a wiki that AI agents read and write over MCP, so several agents on different machines share one set of linked markdown pages instead of each keeping its own notes. Every change is recorded with the agent and the person behind it, writes can require the version last read so agents never silently overwrite each other, and a web app shows the link graph, every page, and its full history. Self-hostable from one Docker Compose file or available hosted.
HEA context compression layer that shrinks tool outputs, logs, files, RAG chunks, and conversation history before they reach the LLM — 20% fewer tokens for coding agents, 60–95% fewer for JSON, same answers. Library, proxy, and MCP server.
LEPlatform for building stateful agents with advanced memory and self-improvement capabilities, supporting both local and cloud deployments.
LOLocalRecall provides a local memory layer and knowledge base management API for agents and RAG scenarios.
MEMem0 is a scalable memory layer for AI agents that provides long-term, personalized, and efficient memory storage and retrieval.
MEAn open-source memory layer for AI agents featuring a 7-layer memory architecture that supports short-term, long-term, and semantic memory with RAG-based retrieval.
MEMemOS is an open-source Memory OS that provides long-term memory capabilities for large language models (LLMs), improving context awareness and long-term consistency.
MELocal-first AI memory that stores conversation history verbatim and retrieves it with semantic search — 96.6% Recall@5 raw on LongMemEval with zero API calls — over a pluggable retrieval backend.
MEMemT-1.0 is a memory foundation model family that makes persistent, dynamically evolving memory an intrinsic part of model computation, retaining and leveraging historical information without re-reading original context at inference.
MEmemU is an open-source memory framework for AI companions, offering high accuracy, fast retrieval, and low cost for personalized AI experiences.
OPOpenHuman is an open-source personal AI super intelligence assistant focused on privacy, simplicity, and power, featuring 118+ third-party integrations, local memory trees, an Obsidian wiki, and native voice interaction.
OPOpenMemory is a self-hosted, sectorized semantic memory engine that delivers high-recall, cost-efficient, and explainable long-term memory for LLM applications.
SUA high-performance, scalable memory engine and app providing a Memory API for storing, retrieving, and interacting with content in the AI era.
TETencent's local long-term memory system for AI agents, powered by a 4-tier progressive pipeline with zero external API dependencies.
TRA framework-agnostic, local-first memory lifecycle framework for AI agents with a Rust CLI, SQLite/FTS recall, forgetting, audit, consolidation, and multi-agent write coordination.
Vector stores, ANN engines, and similarity search.
DEA database for AI optimized for storing, querying and versioning vectors and multimodal data (images, video, audio, text) for LLM and deep learning workflows.
FAA high-performance library for similarity search and clustering of dense vectors, suitable for large-scale vector retrieval.
INAn AI-native database that delivers hybrid search over dense vectors, sparse vectors, tensors, full-text and structured data.
MIMilvus is a high-performance vector database designed for large-scale unstructured data processing.
PGpgvector is an open-source PostgreSQL extension that adds vector data types and similarity search, supporting exact and approximate search (HNSW, IVFFlat) inside Postgres.
QDDiscover Qdrant, a high-performance vector search engine that enhances similarity search and scalable deployment for efficient data retrieval.
SEAn AI-native search database that unifies vector, text, and structured data in a single engine to enable hybrid search and in-database AI workflows.
SQIntegrates embedding storage and vector search into SQLite, providing a cross-platform lightweight vector database extension.
TUAn in-process vector index for Python and Rust built on Google Research's TurboQuant — 2 or 4 bits per dimension, searched directly with SIMD kernels: 7.8× smaller than float32 and up to 4.4× faster than FAISS at matching recall.
Chunking, retrieval, reranking, and indexing pipelines.
AIAirweave lets agents search any app by connecting to apps, productivity tools, databases and document stores and turning their contents into searchable knowledge bases.
AROpen-source reinforcement learning trainer from OpenPipe for training LLM-based agents.
BIAn open-source LLM DevOps platform for enterprise scenarios, offering workflows, RAG, model management and observability.
CHChroma is an open-source embedding database for AI applications, enabling efficient search, storage, and retrieval for intelligent RAG systems.
COA high-performance data processing and indexing framework for AI, supporting incremental processing and semantic indexing.
DBDB-GPT is an open-source framework focused on data-native applications, integrating RAG, Text2SQL, and multi-backend adapters to simplify building intelligent database-driven apps.
DOAn open-source enterprise document agent platform combining RAG and multi-model support to provide citation-backed answers.
EMA tool that provides interactive visualizations for large embeddings, allowing you to visualize, cross-filter, and search embeddings and metadata.
FADiscover FastGPT: a powerful platform for seamless data processing and AI workflow orchestration, enabling easy development of advanced question-answering systems.
FIOpen-source financial large language models with data pipelines, instruction tuning datasets, benchmarks and RAG toolkits.
FIThe Web Data API for AI that turns entire websites into clean markdown or structured data for RAG and knowledge pipelines.
GESample code and notebooks demonstrating how to build and deploy generative AI workflows on Vertex AI and Gemini.
GRDiscover GraphRAG, an open-source project by Microsoft Research for extracting structured knowledge from text, enhancing retrieval and enabling advanced temporal queries.
HAHaystack is an open-source framework for building retrieval-augmented generation (RAG) and semantic search applications by combining document stores, vector search, and LLMs.
KHA self-hostable 'second brain' platform that turns web pages and documents into a searchable knowledge base and supports custom agents and automations.
LADeveloper-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.
LAA framework for building LLM-powered applications with composable components and rich integrations.
LAAn open-source Java library that provides a unified API for integrating large language models and vector databases into enterprise Java applications.
LEDiscover LEANN, the innovative AI platform that transforms your laptop into a powerful semantic search tool with zero cloud costs and full privacy.
LILightRAG is a lightweight Retrieval-Augmented Generation toolkit that supports document indexing, graph extraction, and deployable server/core modes.
LLLlamaFarm is an open-source platform for deploying AI models, agents, vector databases, and RAG pipelines locally or remotely in minutes.
LLLlamaIndex is a data framework for LLM applications that helps structure and connect private data sources to models for retrieval-augmented generation.
LOA private, on-premise document intelligence platform that combines hybrid retrieval and multi-model inference while keeping all data local.
MAConverts PDF, image, PPTX, DOCX, XLSX, HTML, EPUB files to markdown, JSON, chunks, and HTML quickly and accurately.
MEAn open-source SQL-native memory engine that provides persistent, queryable context for Large Language Models.
MEEncode millions of text chunks into portable MP4 files for millisecond semantic search and offline-first AI memory.
MGA CLI-native semantic search tool for code, documents and media, with background indexing and agent integrations.
MIMineContext is a proactive, context-aware AI partner combining Context-Engineering with ChatGPT Pulse to improve dialogue coherence and retrieval in RAG scenarios.
OPOpenViking is an open-source context database for AI Agents that unifies memories, resources, and skills with a filesystem paradigm for hierarchical retrieval and observability.
PAPageIndex (by Vectify AI) is an open-source reasoning-based document index designed for high-accuracy retrieval over long documents.
PAPandaWiki is an open-source knowledge base system driven by large models, enabling fast building of intelligent documentation, FAQ and blog centers.
PAProduction-ready templates for RAG and AI pipelines that support live data synchronization and large-scale document indexing.
PEPerplexica is an open source AI-powered search engine positioned as an alternative to Perplexity AI.
RAA multimodal document processing and Retrieval-Augmented Generation (RAG) system supporting unified parsing and intelligent retrieval of text, images, tables, formulas, and more.
RAAn open-source RAG engine based on deep document understanding, supporting complex document parsing and knowledge Q&A
SEA free, privacy-preserving internet metasearch engine that aggregates results from multiple search services and databases without user tracking.
SEA command-line toolkit for semantic search, embedding generation, and document parsing for local and CI workflows.
TEHugging Face's text-embeddings-inference provides an out-of-the-box text vectorization inference service, making it easy to build similarity search and semantic search applications.
TOAn open research agent and toolset for long-horizon information-seeking and agentic tasks, developed by Tongyi Lab (Alibaba-NLP).
ULA low-code RAG framework based on MCP, emphasizing visual orchestration and reproducible evaluation workflows.
UNAn open-source ETL solution to convert complex documents into clean, structured formats for language-model workflows.
VAVanna is an open-source RAG framework that converts natural language questions into executable SQL and runs them against local databases.
VEVespa is a distributed engine designed for online AI and big-data workloads. It excels at low-latency retrieval and inference, supporting vector search, custom scoring, and near-real-time indexing.
WEWeaviate is an open-source, cloud-native vector database for storing objects and vectors, enabling scalable semantic search and structured filtering for AI applications.
WEWeKnora — an open-source document understanding and retrieval framework from Tencent that combines LLMs and RAG for multimodal document search and knowledge graph construction.
WROpen-source GenBI agent for querying databases in natural language and producing SQL, charts and AI-generated insights.
OCR, parsing, extraction, and document understanding.
DODocling: an open-source framework for document understanding and conversion, supporting PDFs, DOCX, images, audio and more.
LAA Python library that uses LLMs to extract structured information from unstructured text and provides interactive visualization for review.
LIA fast, fully offline OCR toolkit for Node.js and C++ built on PP-OCRv6 and ONNX Runtime, returning text, confidence scores, and coordinates with CoreML and WebGPU acceleration.
MIMinerU is a high-precision PDF document parsing tool that converts complex PDFs into machine-readable Markdown and JSON formats, supporting formula, table, image extraction and multilingual OCR.
PDA command-line tool to extract (meta)data from PDFs and manipulate PDF files at scale.
PDAn open-source Python library built on pdfminer.six that exposes detailed PDF objects, table extraction, and visual debugging features.
PYA high-performance Python library for data extraction, analysis, conversion, and manipulation of PDF and other documents.
SPA high-performance, production-ready open-source natural language processing library providing pretrained pipelines, training tools, and extensible language components.
STAn open-source, self-hosted web PDF editor and processing platform that supports a wide range of PDF operations.
TETesseract is a powerful open-source Optical Character Recognition (OCR) engine supporting over 100 languages, widely used for text extraction and document digitization.
Entity graphs, relationship modeling, and graph retrieval.
COPre-indexed code knowledge graph for AI coding agents, supporting Claude Code, Codex, Cursor, and OpenCode with 100% local execution.
DEA multi-agent personalized learning system integrating RAG, knowledge graphs, and interactive visualizations.
GRA skill that turns any codebase — with its docs, SQL schemas, configs, and PDFs — into a queryable knowledge graph for Claude Code, Cursor, Codex, and Gemini CLI. Local deterministic AST parsing, every edge explained, no vector store.
UNTurn any code into an interactive knowledge graph you can explore, search, and ask questions about, with native support for Claude Code, Codex, Cursor, Copilot, and Gemini CLI.
Data ingestion, connectors, and synchronization pipelines.
AGA CLI that gives AI agents access to platforms they cannot reach on their own — Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, Xueqiu and more — returning clean structured data with zero API fees.
AIOpen-source data movement platform for ELT pipelines and AI agents, moving data from APIs, databases, and files to warehouses, lakes, and AI applications.
BRMCP server providing an all-in-one solution for public web access — crawling, scraping, and structured data extraction for AI agents.
CRAn open-source web crawler and scraper optimized for large language model workflows, producing clean Markdown and structured data with browser control and Docker deployment.
DAData Prep Kit accelerates unstructured data preparation for LLM applications.
DADataTrove provides composable, platform-agnostic pipelines for large-scale text data processing, including extraction, filtering, deduplication and saving.
GRA high-performance, geo-distributed and federated metadata lake for unified metadata access and governance of data and AI assets.
MIAI's query engine - Platform for building AI that can answer questions over large scale federated data - The only MCP Server you'll ever need.
OPA unified metadata platform for data discovery, observability and governance with rich connectors and collaboration features.
PApandas is an open-source Python library for structured data manipulation and analysis, a core dependency in ML and AI data preprocessing workflows.
A declarative data infrastructure for multimodal AI workloads that simplifies storage, indexing, and inference.
UNAn open, multimodal catalog for data and AI that provides unified governance, metadata management, and access control.
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