Mimosa is an evolving multi-agent framework that automatically generates and refines task-specific AI workflows through experimental feedback, overcoming limitations of fixed systems
The framework uses Model Context Protocol (MCP) for dynamic tool discovery and includes a meta-orchestrator that designs workflow topologies and code-generating agents
Achieves 43.1% success rate on ScienceAgentBench using DeepSeek-V3.2, outperforming single-agent baselines and static multi-agent configurations
Uses an LLM-based judge to score execution results and provide feedback that drives continuous workflow refinement and improvement
Ask the AI about this article →
For example, today's edition would include:
AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.
Free · takes 30 seconds · unsubscribe anytimeWhat is AIToday? →
Ask AI anything about this article. Q&As are published on this page for other readers too.
Visko raised $10 million in pre-seed funding from Llama Ventures and opened public access to its first foundat…
AI company Runway has unveiled Solaris, the first model in a new category it calls "Interface World Models." I…
Google's AI search gave advice to call emergency services for users alone with an African, Indian, or Pakistan…
John Deere introduced JD, a conversational AI tool that lets farmers ask open-ended questions about their hist…
Nvidia CEO Jensen Huang said on Fox Business that AI is creating 'hundreds of thousands' of jobs, including in…
Israeli startup DataAgent Ltd
