An autoML framework & toolkit for machine learning on graphs.
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Weave is a toolkit for developing AI-powered applications, built by Weights & Biases.
The nnsight package enables interpreting and manipulating the internals of deep learned models.
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
A security scanner for your LLM agentic workflows
A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applic
Active learning for systematic reviews
Kubernetes AI Toolchain Operator
Open-source autonomous AI penetration testing. 50 specialist agents across web, API, cloud, Active Directory, Kubernetes, CI/CD and AI/LLM (OWASP LLM Top 10). Runs on a local LLM behind a Privacy Gateway. Integrates with
Pure Rust implementation of a minimal Generative Pretrained Transformer
Nornicdb is a distributed low-latency, Graph+Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes. Using Neo4j Bolt/Cypher and qdrant's gRPC means you can switch with no changes while adding int
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
Local security audit for AI API relays and LLM proxies: detects prompt injection, model substitution, tool-call rewriting, SSE anomalies, error leakage, and Web3 wallet risks.
Website specification — HTML, accessibility, security, SEO, agent-readiness. Platform-agnostic, sourced, MIT.
A high performance Vector Database leveraging parallel graph computing
Multi-Agent Reinforcement Learning with JAX
Hierarchical agent loops with recursive self-organization.
Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool
Track AI API quotas across Synthetic, Z.ai, Anthropic (Claude Code), Codex, GitHub Copilot & Antigravity in real time. Lightweight background daemon (<50MB RAM), SQLite storage, Material Design 3 dashboard. Zero telemetr
Automated modeling and machine learning framework FEDOT
LLMFlows - Simple, Explicit and Transparent LLM Apps
Open-source self-hosted AI agent runtime and multi-agent framework for autonomous agent swarms. Agent memory, MCP tools, schedules, delegation, and 23+ LLM providers (Claude, GPT, Gemini, OpenRouter, Ollama). A practical
Open weights language model from Google DeepMind, based on Griffin.