Opcode

关于

LLM agents frequently consume tokens on repetitive tasks, re-reasoning API chains, data pipelines, and approval flows from scratch each time. Opcode addresses this by serving as the missing execution layer for AI agents, allowing users to define complex workflows once and execute them persistently and deterministically, thereby eliminating recurring token costs and re-reasoning. It coordinates multiple agents through a set of six Model Context Protocol (MCP) tools over Server-Sent Events (SSE), utilizing directed acyclic graphs (DAGs) with built-in support for reasoning nodes, flow control, event sourcing, process isolation, and secure secret management.

主要功能

• Event sourcing with an append-only log for crash-proof, persistent workflows and step state recovery.
• Secret vault with AES-256-GCM encryption for secure runtime resolution of credentials.
• MCP-native interface with 6 tools for agent interaction and workflow execution.
• DAG-based execution for automatic parallelism and zero-token, deterministic workflow runs.
• Reasoning nodes for human-in-the-loop decisions, suspending and resuming workflows on signal.
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使用案例

• Automating multi-agent operational workflows such as content summarization and research.
• Implementing robust and persistent data pipelines with validation and batch processing.
• Managing human-in-the-loop approval chains and decision points within agent-driven workflows.