Open-source edge engine to control API request budgets and enforce fair usage.
Core library: scoring, selection, and caching for the Context Engine
AI agent harness engineering tool — visualize CLAUDE.md, AGENTS.md, skills, and agent config structure
Governance layer for runtime budget, policy, and trade-off control in AI systems.
Cross-agent skill quality gate for SKILL.md files. Validates frontmatter, scores description discoverability, checks file references, enforces three-tier token budgets, and flags compatibility issues across Claude Code, VS Code/Copilot, Codex, and Cursor.
🚀 Optimize AI context retrieval with OrionGraphDB, a powerful engine that respects token budgets and delivers diverse, relevant information seamlessly.
A context database for AI agents. Multi-channel retrieval (semantic, lexical, structural) with MMR selection and token budget management. Built in Rust. Apache 2.0.
CLI for building, resolving, and inspecting context caches
Token budget manager for LLM apps — track usage, enforce limits, estimate costs per user/session. Zero dependencies. OpenAI, Anthropic, Groq, Ollama.
Open-source platform for deterministic, token-aware context selection for AI agents and LLMs
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