Open source tools for AI agent reliability
Local-first agent memory + LLM cost reduction. v3.6 skips repeat calls ($0 on hit), compresses prompts 60–95%, stacks with provider KV-cache. Zero cloud. 6-channel retrieval.
Benchmarking framework for evaluating AI agent reliability.
Robustness testing for AI agent skills across 22 frameworks.
Runtime assertion library for AI agent behavioral contracts.
Zero-code behavioral contracts via HTTP proxy. 7 operators, JSD drift detection, no agent code changes.
The universal operating system for AI agents.
Peer-to-peer communication layer for AI agent sessions.
MCP gateway that learns — 430+ tools through 3 meta-tools, 79% fewer processes.
Runtime amplification layer for AI coding agents. 5 deterministic hooks, 7 host adapters, zero extra LLM calls.