Leveraging the power of small language models to search the space of skills, workflows, plans and agents to unleash the power of compositionality.
Routing inference steps based on interaction histories between nodes to scale integrity in a multi-agent environment where peer-evaluations compound into trust scores.
Using git-like cryptographic signatures and trust scores to facilitate epistemic synergy between nodes: allowing nodes to learn from the experience of other nodes.
Chaining multiple remote models, tools and programs: reinforcing the search process and the individual performance based on advanced credit assignment methods.
An operating system for the agentic internet: build, deploy and compose AI.
newos.computerBuild, deploy, monetize agents and wrappers easily with newOS.
newos.devA competitive arena for agentic search based on skills and DSPy optimizers.
thunderdome-research.orgThe Agent Graph Trust Protocol is standardizing how agents learn from each other.
agtp.ccAn MCP to query the agent graph, including LLMs, skills and datasets.
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