All tags
Topic: "agent-harnesses"
MiniMax 2.7: GLM-5 at 1/3 cost SOTA Open Model
minimax-m2.7 sonnet-4.6 glm-5 mimo-v2-pro mamba-3 qwen-3.5 kimi-k2.5 gpt-5.4-mini minimax xiaomi artificial-analysis ollama trae yupp openrouter vercel zo opencode kilocode cartesia self-evolving-agents reasoning cost-efficiency token-efficiency hybrid-architecture harness-engineering agent-harnesses skills memory-optimization architecture feedback-loops api inference execution-environment
MiniMax M2.7 is the headline model release, described as a "self-evolving agent" with strong performance metrics including 56.22% on SWE-Pro, 57.0% on Terminal Bench 2, and parity with Sonnet 4.6. It features recursive self-improvement in skills, memory, and architecture. Artificial Analysis places M2.7 on the cost/performance frontier with an Intelligence Index score of 50, matching GLM-5 (Reasoning) but at a fraction of the cost. Distribution is available via platforms like Ollama cloud and OpenRouter. Xiaomi’s MiMo-V2-Pro is noted as a serious Chinese API-only reasoning model with a score of 49 on the Intelligence Index and favorable token efficiency. Cartesia’s Mamba-3 is highlighted as an SSM optimized for inference-heavy use, with early reactions focusing on hybrid transformer architectures like Qwen3.5 and Kimi Linear. The report emphasizes a shift from prompting to harness engineering, where the execution environment and agent harnesses, including skills and MCP, are becoming key differentiators in AI system design. This includes discussions on tools, repo legibility, constraints, and feedback loops, with mentions of DSPy and GPT-5.4 mini as important components in this evolving landscape.
not much happened today
claude-mem bitnet-cpp gemini microsoft google-deepmind boston-dynamics agentic-coding agent-harnesses persistent-memory software-engineering inference-efficiency model-pruning context-durability specification-problem workflow-management cpu-inference _philschmid demishassabis
AI News from early January 2026 highlights a viral economic prediction about Vietnam surpassing Thailand, Microsoft's reported open-sourcing of bitnet.cpp for 1-bit CPU inference promising speed and energy gains, and a new research partnership between Google DeepMind and Boston Dynamics focusing on Gemini Robotics and Atlas hardware. The concept of agentic coding is gaining traction, emphasizing human oversight and infrastructure layers called Agent Harnesses to manage long-running AI tasks, with advocates like Philipp Schmid promoting this shift. Innovations in persistent memory for coding agents, such as Claude-Mem, aim to improve context durability. There is also critical discussion on the specification problem in agent workflows, advocating for better abstractions beyond conversational intent. Practical challenges include managing parallel agents and permission risks. Additionally, open tooling advances include a JAX-based LLM-Pruning Collection for efficient model pruning methods.