OpenAI published first-party benchmark numbers for Jalapeño: 1.5–1.9× more AI work per watt, 1.7–3.6× lower end-to-end latency. Vendor-tested, not independent.
mksglu/context-mode is a 19.4k★ MCP server with 98% tool-output savings, SQLite/FTS5 session-continuity, and 17 supported agent platforms — under an ELv2 license.
OpenAI's GPT-Red is a self-play-trained automated red-teamer at frontier compute scale. GPT-5.6 Sol is 6× more robust to prompt injection; specific Vendy and Codex CLI exploits.
Ratel (ratel-ai/ratel, 186★, Apache-2.0 core + MIT SDKs) ships an in-process BM25 tool catalog. On BFCL v3: ~87% fewer tokens, tool selection within ±5 points.
Anthropic's Claude Sonnet 5 launches 2026-06-30 with intro pricing $2/$10 per MTok (→$3/$15 on Sep 1), a new effort-level API dial, and a near-Opus cost-performance curve.
cognee is an Apache-2.0 open-source AI memory platform for agents: a self-hosted knowledge graph engine with a four-method API (remember, recall, forget, improve) and a Claude Code plugin.
On 2026-06-24 OpenAI and Broadcom unveiled Jalapeño, OpenAI's first custom LLM inference chip. Lab samples run today; gigawatt-scale deployment with Microsoft is planned for 2026.
Pure-C, single-binary MCP server that indexes a codebase into a Tree-Sitter knowledge graph in milliseconds. 13.3k stars, MIT, 5,604 tests, 11 agents. arXiv 2603.27277 reports 83% quality at 10× fewer tokens.