rag

An open-source Python support agent that uses SynapCores as the agent brain for memory, retrieval, semantic tool routing, and generation. The repo includes a quick start, local Docker setup, example commands, and a traced demo of the agent loop.

An MCP server that converts public URLs into clean Markdown for AI agents and MCP-compatible clients. The repo includes setup instructions, a usage example, a direct API option, and notes on supported clients like Claude Desktop and Cursor.

An offline hybrid retrieval engine for RAG that runs on-device, including phones. The repo shows BM25 plus dense retrieval, cross-encoder reranking, sparse expansion support, and bindings for Rust, Python, Swift, and Kotlin.

A lightweight CLI for running RAG over local documents, with hybrid vector + BM25 retrieval, OCR for scans and images, and support for local or API-based LLMs.

Backprompter is a workspace for creating, testing, and deploying AI agents without backend code. The page shows prompt-based agent setup, simulated users and evaluations, hosted chat UI deployment, SDK/API access, RAG, voice chat, and Stripe billing.

Symbio is a local AI assistant that learns from user corrections, builds training data from notes, and can fine-tune itself over time. It supports file operations, sandboxed shell commands, RAG, a Telegram bot, and a demo with MoA and skill adapters.

A job board focused on AI engineering roles, with first-party listings for RAG, agents, evals, inference, and MCP-related work. The page shows live filters, location and seniority breakdowns, and a nightly refreshed feed of open roles.

Custodian Labs is a developer platform for building and deploying AI agents from a small code snippet. The page highlights agent deployment, built-in RAG, model flexibility, multi-agent routing, and a privacy-focused Guardian layer for handling PII.

AgentReady is an MCP-based service that turns public websites into agent-friendly docs sources with cited answers, llms.txt generation, and live /ask and /mcp endpoints.

An open-source multi-model teaching assistant for UIUC ECE 120, with a Gradio UI, retrieval-augmented search, and evaluation scripts. The repo includes setup instructions, a live Hugging Face demo, and details on how it uses separate models for retrieval, generation, moderation, and ranking.

An open NDJSON specification for AI crawler ingestion and site content graphs, with examples and reference files in the repository.

Open-source local-first AI agent that routes between local and cloud LLMs, learns from escalations, and stores knowledge for future queries. The repo includes a quickstart, setup modes, and a concrete explanation of how it ingests docs and improves over time.

Neurvance provides CC0-licensed AI training data bundles with document-level provenance, EU AI Act Article 10/Annex IV mapping, and an API for bulk download and RAG retrieval.

An experimental RAG lab for constrained environments, with configurable document classification, chunking, retrieval, reranking, and chat context assembly. It includes Open WebUI integration and emphasizes debugging retrieval and context failures.

Open-source TypeScript crawler for AI agents that needs bounded web access, structured extraction, PDF parsing, JavaScript rendering, and MCP support. It outputs Markdown, JSON, and JSONL evidence records with provenance and crawl limits.

A Python framework for local document search that replaces traditional embedding-based RAG with BM25 indexing, Meilisearch, and an agent loop for search, fetch, and citation-backed answers.

A Python/Flask code example that shows how to build a retrieval-augmented generation API with Telnyx embeddings and chat completions. The repo includes setup steps, environment variables, endpoint docs, and sample responses.

Browser-based RAG app that runs entirely client-side, using BM25/Lunr.js for retrieval and direct LLM provider APIs for answering questions without a backend.

A text-first, hands-on guide to agentic AI for practicing engineers, with runnable local-first code samples and a module-based structure covering LLM basics, tool calling, RAG, memory, multi-agent patterns, evaluation, safety, and enterprise topics.

Open Executive is an open-source AI system that acts as a virtual executive team, routing requests through a single executive persona backed by eight specialist Claude agents. The repo includes architecture notes, tech stack details, repo layout, and quick-start steps for running the FastAPI backend and Next.js UI.

Open-source local-first contract layer and runtime for canonical data, retrieval, durable execution, and agent-facing AI. The repo includes a quick start, capability boundaries, client/runtime notes, and examples for running locally and inspecting providers.

CacheCore is an agent infrastructure tool that sits between LLM clients and the API to cache exact and near-identical prompts, cutting repeat calls and latency. The page shows OpenAI-compatible integration, support for common agent frameworks, and use cases for RAG and multi-agent workflows.

Community edition of Merlin, a local-first deduplication tool for LLM context and RAG pipelines. The repo includes quick-start install steps, MCP and editor integrations, savings claims, and rollback guidance.

A side-by-side comparison of 15 AI agent frameworks, including LangGraph, CrewAI, AutoGen, Pydantic AI, OpenAI Agents SDK, Mastra, Vercel AI SDK, LangChain, LlamaIndex, Haystack, Dify, Flowise, n8n, Semantic Kernel, and smolagents. The page highlights use-case fit, control style, language support, GitHub stars, and fra