#llm

Open source agentic SAST. The engine behind hundreds of disclosed zero-days. 100+ AI security agents, any repo or PR diff, bring your own model.

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Agents-flex is A lightweight Java AI agent development framework (positioned as a counterpart to Spring AI). It supports features such as RAG, MCP, Skills, Text2SQL , LLM Wiki, Sub-agents, Web Search, TTS (synchronous and streaming), and STT.

CLI for managing AI agent squads. Status, memory, goals, feedback, and dashboard for your autonomous agents.

Workflow engine where ops can yield — same async DAG handles batch jobs and event-driven streaming pipelines (pipecat-style callbot, STT → LLM → TTS). Python frontend, drop-in Rust runtime; 2–3× faster on chains, 10–30× on production workloads. LLMs, agents, RAG, native compute as first-class ops.

Hook-based token compressor for 7 AI CLI hosts (Claude Code, Copilot CLI, OpenCode, Gemini CLI, Codex CLI, Pi, Hermes). Up to 95% bash compression, signature-mode for code reads, cross-call dedup, MCP server, self-teaching protocol. Zero runtime deps.

Modular Python library for unified LLM provider access with cost reporting

Open-source compiler for AI agents. Write one crewhaus.yaml; compile it to a CLI, a Slack bot, and an eval harness from the same spec. Apache-2.0.

Self-hosted PII redaction proxy for LLM APIs and agent CLIs. Scrubs names, emails and secrets from Claude Code, Codex and any OpenAI-compatible app before requests leave your machine, tool-call arguments included, then restores them in the reply. Local detection, zero telemetry.

pytest for AI agents - Autonomous red-teaming, behavioral monitoring & security testing for LLM agents

Decode, search, validate, and crosswalk US medical codes — ICD-10-CM, ICD-10-PCS, HCPCS Level II, RxNorm — over a bundled offline index via MCP. STDIO or Streamable HTTP.

Blender addon for the DCC Model Context Protocol (MCP) ecosystem — embeds a Streamable HTTP MCP server directly inside Blender

Adobe Photoshop MCP adapter for AI agents to edit documents, layers, text and images through the shared adobepy UXP bridge and typed tools in the DCC-MCP ecosystem.

Autonomous task orchestrator. Goal in, merged PRs out. Planner/Worker/Reviewer loop on the Vercel AI SDK + OpenRouter.

Constraint-driven runtime for TypeScript. Declare requirements, let the runtime resolve them.

Composable Go interfaces for running AI agent sessions

Self-hosted OpenAI/Anthropic-compatible gateway: give each AI agent run a dollar budget, enforced before the provider, with a payload-free per-run cost record.

The runtime reliability layer for AI agents.

Memory for AI agents that only remembers the latest truth: a bi-temporal belief ledger + transcript index in one SQLite file.

Self-hosted family AI gateway with parental controls. Runs on Linux, macOS, and Android (Termux) — Raspberry Pi, mini PC, old laptop, homelab server, even a phone. Telegram, Discord, web. Privacy-first, works with any LLM (local or cloud), OPA content filtering, MCP skill scanning.

CLI and Agent Skill for Firecrawl - Add scrape, search, and browsing capabilities to your AI agents

High-performance tool for managing LLM conversations and workflows as DAGs.

MCP servers expose tools with no information about what they actually do at runtime. mcpsafetywarden sits between your agent and any MCP server, profiling tool behavior, blocking destructive calls, and running active security audits before you trust them in a workflow.

Reusable Go base agent on the Google ADK — multi-provider (Gemini, Vertex, Claude on Anthropic + Vertex), MCP-native, with AGENTS.md, skills, and permissions wired up.

Conversational-AI framework for Go.

A Model Context Protocol (MCP) server that connects AI models to GROWI wiki content. Enables LLMs to search and retrieve information from your organization's knowledge base for accurate, context-aware responses.

💬 A performant virtual chat component for Svelte applications - efficiently render large scrollable chat interfaces with minimal memory usage

Go with your own intelligence - Write Go applications that directly integrate llama.cpp for local inference using hardware acceleration on Linux, macOS, Windows, & WebAssembly.

An Agent Development Kit (ADK) allowing for seamless creation of A2A-compatible agents written in Go.

.NET RAG document processing library that transforms PDF, DOCX, HWP, and more into optimized chunks via a 5-stage pipeline with Rust-based FFI readers.