59.9KUpdated 17 hours ago
#Guardrails#MCP#Multi-user access
LiteLLM gives platform teams one place to manage access to LLMs across providers. Its self-hosted AI gateway puts cloud services and internal or locally hosted models behind an OpenAI-compatible API, so applications can change models without changing their integration. Developers can also use its Python SDK directly.
3.2KUpdated 3 months agoMIT
#Guardrails#PII redaction
LLM Guard is a Python security toolkit for developers building applications around large language models. It checks prompts and generated responses for risks such as prompt injection, sensitive data exposure and harmful language. The project is archived and no longer maintained, including its associated models on Hugging Face.
1.2KUpdated 2 years agoMIT
Docker#Guardrails#Multi-user access#OpenAI-compatible API
BricksLLM is a self-hosted AI gateway for teams that need to control access and spending across LLM applications. It sits between applications and model providers, applying cost and rate limits to individual API keys. The gateway is open source under the MIT license and runs locally or on your server through Docker, with PostgreSQL and Redis.
9.4KUpdated 19 hours agoMIT
macOS · Windows · Linux · Android · Docker · Web#Batch processing#LM Studio integration#MCP
xberg, formerly Kreuzberg, is a local document extraction engine for developers building AI search, document processing, and retrieval-augmented generation applications. It reads PDFs, Office files, scanned images, email, and nested archives, extracting text, tables, images, and metadata through one shared engine. It's open source under MIT.
29.9KUpdated 3 weeks ago
macOS · Linux · iOS · Android · Web#Image-to-image#ONNX#PII redaction
InsightFace is a face analysis toolkit for developers and teams building identity verification, access control, or face editing software. The code uses the MIT license. Its Python tools and self-hosted recognition server run inference on your own hardware. It also offers commercial models and API access for face swapping and deepfake detection.
11.1KUpdated 3 days agoMIT
Docker#Human approval#Multilingual#PII redaction
Presidio is a self-hosted Python framework for developers and organizations that need to detect and remove personally identifiable information (PII) from text, images and structured data. It can identify names, credit card numbers, social security numbers and other sensitive details, then redact, mask or anonymize them. It's open source under the MIT license.
758Updated 1 month agoApache-2.0
Docker · Web · Browser Extension#Guardrails#llama.cpp backend#Multilingual
PasteGuard is a privacy proxy that runs locally or on your own server, including through Docker. It's for teams that use cloud AI but can't send raw customer records, client files or credentials to providers. It replaces sensitive values with placeholders before requests leave your environment and restores originals in supported responses.
11.3KUpdated 1 day agoMIT
macOS · Windows · Linux · Docker#Browser automation#Multi-user access#PII redaction
CamoFox Browser is a self-hosted browser server for developers whose AI agents need to browse sites that block ordinary automation. It builds on Camoufox, a Firefox fork that changes browser fingerprints inside the engine rather than through JavaScript patches. This approach targets detection systems such as Cloudflare and Google's bot checks.
1KUpdated 20 hours ago
macOS · Windows · Linux#Agent Skills#Git integration#MCP
Reticle lets AI coding agents verify changes against a running web or desktop app. It's for developers who want evidence that a fix works, including failures a screen can hide: duplicate payments, failed requests or application state that disagrees with the interface. It runs locally on macOS, Windows and Linux and connects to MCP agents such as Claude Code, Cursor and Codex CLI.
1.8KUpdated 6 days agoMIT
macOS · Windows · Linux · Web#Git integration#LLM tracing#PII redaction
Hermes HUD is a local browser dashboard for people running the Hermes AI agent who want to inspect its memory, follow its work and understand its costs. It runs on macOS, Linux and WSL and requires an existing Hermes agent. The project is open source under the MIT license.