Benchmark for tracking model capability after release.
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🦎 A lightweight, streaming-native, multi-protocol gateway for AI, APIs, and real-time data. Route LLM requests across providers, govern MCP tools, and connect Kafka, MQTT, and HTTP through one high-performance engine with shared security and observability.
Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine for vLLM, llama.cpp and MLX.
- agents
- calibration
- classification
- decision-making
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
- calibration
- decision-model
- jev
- jev-model
Real-time monitoring for Claude Code agents through simple hook event tracking.
Trace-native CI/CD for AI agents: grade production traces, cluster failures, freeze them into replayable regression tests, and block PRs that regress. Self-hostable.
Reusable prompts for a structured, evidence-first bug bounty hunting workflow
- application-security
- bug-bounty
- bug-bounty-hunting
- cybersecurity
lightweight system-level observability for AI Agents
Real-time observability of claude code sessions & multi-agents.
A computer, compiled into the weights of a language model. An exact CPU inside Qwen3.5-4B, with Gated DeltaNet state as RAM.
Local gateway for Claude Code, Codex and other AI clients on macOS, Windows and Linux: switch upstreams without touching clients, keep API keys from relays, cut off malicious tool calls, trace every request.
- ai-gateway
- anthropic
- claude-code
- codex
🕷️ The fastest open-source AI Gateway and LLM Gateway — one binary with built-in console to route, secure, budget and observe every LLM call across OpenAI, Anthropic, Gemini, Bedrock and more.
A comprehensive observability solution for monitoring Claude Code usage, performance, and costs.
Tamper-evident tracing, policy gates and cross-checks for AI agents: see what the agent did, and why.
- agent-security
- ai-agents
- audit-log
- claude-code
Build AI text detectors whose decisions are mechanistically grounded and human-auditable (EMNLP 2026)
- ai-text-detection
- explainable-ai
- interpretability
- mechanistic-interpretability
From a universe of models to Collective Model Intelligence.
- collective-model-intelligence
- model-capabilities
- model-collaboration
DeepWrite AI is Made with the Help of ChatGPT3 and Specific Model is Prepared for Generating Perfect Blog Post with atmost Clarity. This is Just the Version 1.0 More Improvement Will be Implemented.
TranslatedLocal-first Rust TUI/CLI for auditing AI coding-agent sessions: cost, tokens, latency, failures, and health
Manage and use multiple Ollama instances with automatic offline detection/failover and model availability tracking
GPTModels - a multi model, window based LLM AI plugin for neovim, with an emphasis on stability and clean code
Local-first policy gateway for coding agents. Allow, review, or block MCP, shell, SQL, GitHub, and HTTP actions with scoped credentials and signed evidence.
- golang
- observability
- opentelemetry
- policy-engine
Claude Code dashboard: see where your limits are headed before you hit them. Calibrated usage forecasts, live rate-limit gauges, session costs, memory browser. Single binary, zero config, plus a VS Code extension.
Local-only observability for AI agents on your machine. One timeline across coding and non-coding agents.
- ai-agents
- claude-code
- cli
- cursor
Catch silent failures in agent workflows by verifying real system state