AI Agent2023
Maps your existing C#, Python, or Java functions into a form AI models can invoke, then translates model requests into real function calls and feeds results back. Model-agnostic middleware: swap in newer models without rewriting your app.
AI Agent2023
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.
AI Agent2023
Framework for building multi-agent systems where LLM agents take roles and converse to complete tasks via inception prompting, with no human in the loop after the initial brief. Used to auto-generate instruction data and run large-scale agent simulations.
AI Infra2023
Runs large language models entirely in C/C++ with no external dependencies, using 1.5-to-8-bit integer quantization and CPU+GPU hybrid inference to fit models larger than available VRAM. Backs Ollama, LM Studio, and most local-inference tooling.
AI Client2023
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.
AI Agent2023
Builds production RAG systems around deep document understanding, explainable chunking, hybrid retrieval, citations, and agent workflows for messy enterprise documents.
AI Client2023
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.
A multimodal model that accepts image and text inputs and returns text, scoring at human level on professional exams — including a bar exam in the top 10%. Its performance was forecast from models using 1/1000th the compute, showing predictable scaling.
AI Client2023
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.
AI Infra2023
Puts OpenAI-, Anthropic- and Ollama-compatible endpoints in front of 60+ inference backends, so existing client code runs unchanged against local models for text, vision, audio, image and embeddings. Runs CPU-only or accelerated, data stays local.
Chatbot2023
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.
Chatbot2023
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.