
Media coverage
A Second Year of Building AI for Business Leaders
Crossing revisits Jomy to discuss Zleap’s evolution from a CEO management appliance to a Token Router and Zleap OS, unified enterprise AI, and continuously running agents.

Media coverage
Crossing revisits Jomy to discuss Zleap’s evolution from a CEO management appliance to a Token Router and Zleap OS, unified enterprise AI, and continuously running agents.
Product
Introducing SAG Wiki, the open-source knowledge base powered by SAG2, with folder-based organization, fast indexing and retrieval, and desktop and CLI access for people and agents.
Technology
SAG2 combines keyword indexing with dynamic multi-hop retrieval. Explore indexing performance, public benchmarks, SAG Wiki and applications in agent memory.

Media coverage
Crossing revisits Jomy to discuss Zleap’s evolution from a CEO management appliance to a Token Router and Zleap OS, unified enterprise AI, and continuously running agents.

Product
Introducing SAG Wiki, the open-source knowledge base powered by SAG2, with folder-based organization, fast indexing and retrieval, and desktop and CLI access for people and agents.

Technology
SAG2 combines keyword indexing with dynamic multi-hop retrieval. Explore indexing performance, public benchmarks, SAG Wiki and applications in agent memory.

Insights
Examining AI automation through capability, economics, and society, and defining authority, accountability, and collaboration between people and agents.

Insights
Why individual AI productivity does not automatically improve organizational performance, and how shared knowledge, agent governance and field implementation can help.

Insights
Seven challenges in enterprise AI use and organizational relationships, and two paths forward through context infrastructure and organizational integration.

Technology
SAG V2 improves pruning and evaluates retrieval, question answering, dynamic hyperedges, entity handling and large-scale queries.

Product
Introducing SAG V2: an interactive knowledge explorer with list, 2D and 3D views, an independent knowledge engine, open interfaces and flexible storage.

Insights
Why agents need more than models and runtimes: organizational knowledge, practical experience, and continuously updated context.

Technology
How MCP, CLI and Workspace organize agent tools, permissions and context, and why Zleap-Agent uses persistent workspaces.

Media coverage
Synced examines SAG’s event-and-entity structure, SQL and semantic retrieval, benchmark results, and production deployments for agent knowledge retrieval.

Technology
Why complex agents need a structured data foundation, and how SAG supports incremental ingestion, multi-hop retrieval and traceable evidence.

Technology
How Zleap-Agent isolates context, tools and memory by workspace, using prefetching, on-demand access and database-backed memory to reduce the information each step must process.

Media coverage
Z Potentials examines local deployment, costs, enterprise data, SAG, Zleap-Agent, and collaboration between enterprise agents through Zleap’s approach.

Insights
How agents and SAG can organize scattered information and provide people with more complete context for decisions and collaboration.

Insights
An engineering perspective on computation, algorithms, embeddings and LLMs, and how RAG and SAG balance speed, quality and cost.

Technology
Jomy explains SAG’s SQL-driven retrieval, event structures and natural-language attributes, and their applications in enterprise knowledge, personal knowledge bases and agent memory.

Product
A locally deployed agent appliance for CEOs and managers, with enterprise information collection, automated reporting, and traceable insights.

Media coverage
QbitAI tries Zleap’s agent appliance, exploring information collection, automated reports, source tracing, report-specific Q&A, and Jomy’s product strategy.

Media coverage
Xinzhiyuan reports on Zleap-D1, exploring CEO-focused information analysis, mobile use, local deployment, and multi-agent collaboration.

Media coverage
Crossing interviews Jomy about enterprise AI through CEO information needs, local deployment, small-model engineering, and traceable knowledge retrieval.