Agent Orchestration

156 summarised stories about Agent Orchestration, each linking back to the original source. Browse all topics →

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OpenAI Anthropic Claude MCP SiliconANGLE Claude Code

Sunday, 13 September 2026

Supio’s long-horizon agents point to a new operating model for law firms

SiliconANGLE 1 month ago 37

Supio described long-horizon AI agents and a “Firm OS” approach meant to orchestrate multi-day legal workflows across case systems and communications instead of handling single tasks. The company says about two-thirds of case work involves communication with external parties other than the client, driving the need for an agentic operational layer. The result is a shift in law-firm AI from point solutions that improve task efficiency to systems that can document and manage work over time while escalating judgment points to attorneys.

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Context Engineering Inside the Harness: 4 Mechanisms That Beat Context Overflow and Goal Loss on Long-Horizon Tasks

MarkTechPost 1 month ago 25 ● 2 sources

AWS samples describe long-horizon autonomous coding agents failing when a simple LLM-tool loop runs into context overflow, causing goal loss and poor state retention. Deep Agents offloads any tool response over 20,000 tokens and switches to file-pointer truncation once session context passes 85% of the model window. The article shows that improving agent performance shifts from buying a larger model window to using harness mechanisms like context budgeting/offloading, compaction, todo-state recitation, and cross-session memory that preserve objectives across long runs.

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