Search results for "corpus"
Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML.
Python framework for fast Vector Space Modelling
89 skills and 38 specialized agents that enforce proven engineering practices for AI-assisted development. TDD, systematic debugging, parallel code review, and 10-gate development cycles β as a Claude
Every meeting, every idea, every voice note β searchable by your AI. Open-source, privacy-first conversation memory layer.
Plugin suite + bundled MCP servers for Claude Code. Full delivery lifecycle: Agile pipeline with multi-model AI review, project bootstrap, documentation generation, codebase audits, performance optimi
The fastest PDF library for Python and Rust. Text extraction, image extraction, markdown conversion, PDF creation & editing. 0.8ms mean, 5Γ faster than industry leaders, 100% pass rate on 3,830 PDFs.
The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.
AgentWard β Built for all, hardened for OpenClaw.
AI + Data, online. https://vespa.ai
Declarative Agent Orchestration. Ship while you sleep.
SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.
Memory that lasts and compounds. MentisDB gives agents durable memory so they do not just remember, they improve over time. It stores append-only thought chains plus a Git-like skills registry, lett
Vibe-Skills is an all-in-one AI skills package. It seamlessly integrates expert-level capabilities and context management into a general-purpose skills packageοΌ enabling any AI agent to instantly upgr
Brain-inspired knowledge graph: spreading activation, Hebbian learning, memory consolidation.
Zero-code LLM security & observability proxy. Real-time prompt injection detection, PII scanning, and cost control for OpenAI-compatible APIs. Built in Rust.
Pragmatic AI Labs MCP Agent Toolkit - An MCP Server designed to make code with agents more deterministic
Operating System for your personal AI Agents with Security-first approach. Multi-channel (WhatsApp, Telegram, Discord, Slack, iMessage), multi-provider (Claude, GPT, Gemini, Ollama), fully self-hosted
Semiont supports human+ai collaborative knowledge work. Use it as: a Wiki, Semantic Layer, Context Graph, Knowledge Base, Annotator, Research Tool, or Agentic Memory...
The Mind Palace for AI Agents β Autonomous Cognitive OS with affect-tagged memory (valence engine), token-economic RL (surprisal gate + UBI), Hebbian learning, ACT-R spreading activation, Synapse Engi
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
The implementation for SIGIR 2026: Learning to Retrieve from Agent Trajectories.
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Single-file memory layer for AI agents, sub mili-second RAG on Apple Silicon. Metal Optimized On-Device. No Server. No API. One File. Pure Swift
A thin cython wrapper around llama.cpp, whisper.cpp and stable-diffusion.cpp
Cognitive architecture for AI-augmented software development. Specialized agents, structured workflows, and multi-platform deployment. Claude Code Β· Codex Β· Copilot Β· Cursor Β· Factory Β· Warp Β· Windsur
"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"
Humans and AI agents, building knowledge bases together. Self-hosted document annotation, version control, semantic search, and MCP.
A-RAG: Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces. State-of-the-art RAG framework with keyword, semantic, and chunk read tools for multi-hop QA.
A lightweight, embeddable vector database library for Go AI projects.
Graph-based workflow enforcement and persistent memory for AI coding agents. Define structured workflows in YAML. Enforce them at tool boundaries via MCP. Build a persistent knowledge graph that grow
Autonomous orchestration framework for Claude Code with MemPalace-inspired memory (4-layer stack, 818-token wake-up), parallel-first Agent Teams (6 teammates), Aristotle First Principles methodology,
3-tier agentic ChatOps (n8n + GPT-4o + Claude Code) implementing all 21 patterns from "Agentic Design Patterns" β solo operator managing 137 devices
YAO = Yielding AI Outcomes. A lightweight but rigorous system for creating, evaluating, packaging, and governing reusable agent skills.
METAβAGENTIC Ξ±βAGI ποΈβ¨ β Mission π― Endβtoβend: Identify π β OutβLearn π β OutβThink π§ β OutβDesign π¨ β OutβStrategise βοΈ β OutβExecute β‘
MCP server for token-efficient large document analysis via the use of REPL state
Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.
Autonomous Web3 security audit agent for Claude Code
AI agent security scanner. Detect vulnerabilities in agent configurations, MCP servers, and tool permissions. Available as CLI, GitHub Action, ECC plugin, and GitHub App integration. π‘οΈ
Agent memory and conflict detection platform. We're hiring contributors check HIRING.md
Generic markdown collection MCP server with FTS5 + semantic search, frontmatter-aware indexing, and incremental reindexing
Synthadoc: An open-source LLM knowledge compilation engine that turns raw documents into structured, local-first wikis. A transparent, human-readable alternative to traditional RAG, which can be self-
kbot β the AI agent that dreams, learns, and evolves. 764+ tools, 35 agents, 20 providers. Music production, iPhone control, financial analysis, cyber threat intel. Always-on daemon. Runs offline. npm
One memory layer for every AI agent. Local-first, markdown source of truth, and CLI/HTTP/MCP native. Your agent forgot who you are. Again. Dory fixes that.
Search your files by talking to them - 100% offline
Claude Code plugin for Ruby, Rails, Grape, PostgreSQL, Redis, and Sidekiq development
Second Brain is a desktop application that acts as a personal knowledge base, using retrieval-augmented generation (RAG), multimodal AI models, and a hybrid lexical/semantic search algorithm to intera
Generate a custom newspaper with an AI agent based on your favorite YouTube channels.
Scan AI artifacts like agent skills and config files for security risks, privacy issues, and instruction-level attacks with a Python CLI tool.