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Self-hosted, MIT-licensed interface that puts OpenAI, Anthropic, Google, Azure, AWS, and local models behind one chat UI. Adds agents, a code interpreter, MCP tool connections, persistent memory, web search, artifacts, and multi-user SSO auth on top.
Drives autonomous penetration testing and CTF solving via cooperating LLM sessions that track a pentest task tree. Scored 86.5% on the XBOW benchmark suite at ~$1.11 per solved task, and works with OpenAI, Claude, Gemini, and local Ollama models.
Cross-platform client for interacting with multiple LLM providers and image models, offering local data storage, a prompt library, streaming replies and built-in image generation. Ships as desktop apps, a web version and mobile apps for shared/team and personal workflows.
Bring-your-own-key chat client that keeps every conversation in the local browser, never a server. One UI reaches OpenAI, Claude, Gemini, DeepSeek and a dozen more providers across web, desktop and mobile, with MCP, plugins, and one-click self-hosting.
A bring-your-own-API-key chat frontend for ChatGPT, Claude, Gemini and other models, running entirely in your browser with local storage. Adds a prompt library, plugins, model switching, and team/agent setups on top of raw provider APIs.
Self-hosted AI coding assistant you run on your own hardware as an alternative to cloud Copilot. Offers context-aware completion, an in-IDE answer engine and chat, using RAG over your repositories so suggestions match your team's code.
Ensures LLM outputs match precise, schema-defined structures by enforcing Python types, Pydantic models, JSON schemas or grammars at generation time. Provider-agnostic integrations (OpenAI, transformers, vLLM, Ollama, etc.) and function-call style mapping reduce brittle post-processing and make structured generation reliable for production pipelines.
Runs open-source LLMs entirely on your own laptop or desktop — no GPU, API key, or cloud required. A cross-platform desktop app with LocalDocs, letting you chat privately over your own files; conversations never leave the machine unless you opt in.
Web UI to train and run retrieval-based voice conversion models from small datasets (≈10 minutes), featuring top-1 feature retrieval to avoid timbre leakage, model fusion, real-time conversion, vocal separation, and multi-hardware support.
Pulls context from your whole codebase via Sourcegraph's search API to power chat, autocomplete, and edits across VS Code, JetBrains, and the CLI. Now ships only inside Sourcegraph Enterprise; the free and Pro tiers are retired.
Run prompts against OpenAI, Claude, Gemini, and dozens of local or remote models from one terminal command, logging every prompt and response to SQLite. Plugins add new providers, tools, and embeddings; supports schema extraction and function calling.