dgenio/contextweaver
Budget-aware context compilation and context firewall for tool-heavy AI agents.
Building open-source infrastructure for reliable AI agents: deterministic tool flows, context control, and safer tool execution.
Budget-aware context compilation and context firewall for tool-heavy AI agents.
Policy firewall for AI agents and MCP tools. Intercepts tool calls, enforces allow/deny/ask rules, redacts secrets, validates arguments, and writes auditable logs before agents touch your filesystem, GitHub, browser, or APIs.
Canonical specs & shared contracts for the Weaver Stack (contextweaver, ChainWeaver, agent-kernel): vocabulary, invariants, boundaries, versioning, and language-agnostic contract schemas (+ minimal Python package) to keep the ecosystem composable and compatible.
Deterministic MCP tool flows for AI agents. Remove unnecessary LLM calls between predictable tool steps.
Mine AI-agent traces for reusable operational lessons, guide humans through MCQ-based review, and publish governed skills, instructions, evals, guardrails, or workflow improvements for agent frameworks.
Capability-based authorization and policy enforcement for agents using large MCP and A2A tool ecosystems.
Home of the Renovate CLI: Cross-platform Dependency Automation by Mend.io
Offline evaluation lab for agent routing and tool-selection policies before production: compare routers, costs, failures, and support using logged agent decisions.
Cover + diagram images for the Weaver Stack Medium article series
A collection of MCP servers.
A curation of awesome tools, documents and projects about LLM Security.
Hands-on MCP/agent security lab with reproducible unsafe vs governed scenarios: prompt injection, tool poisoning, over-permissioned tools, policy gates, audit traces, and safe execution patterns.
Guardrails for vibe-coded software. VibeGuard checks AI-generated changes for secrets, unsafe diffs, package leaks, source maps, config drift, and supply-chain risks before merge or publish.
An experimental language for governed LLM workflows: compile goals, evidence, uncertainty, actions, and verification into auditable agent plans.
Runnable reference architecture for governed tool-using agents: bounded context, deterministic flows, policy gates, audit traces, and offline evaluation.
Test your prompts, agents, and RAGs. AI Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.
Open-source Agent Operating System
LlamaIndex is the leading framework for building LLM-powered agents over your data.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models
🚀 The fast, Pythonic way to build MCP servers and clients
A framework for few-shot evaluation of language models.
An open protocol enabling communication and interoperability between opaque agentic applications.
🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.
🤖 The most comprehensive list of AI agents, frameworks & tools in 2026. 300+ resources · 20+ categories · Updated monthly.
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
AGENTS.md — a simple, open format for guiding coding agents