Agentβ™₯︎Age
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DecRec

OfficialLive

by decrec-io

Decision memory for AI agents: record, revisit, and resolve consequential choices.

io.decrec/decrec (DecRec) MCP Server

The io.decrec/decrec MCP server provides decision memory for AI agents. It records consequential choices, lets agents revisit those decisions later, and supports resolving them over time. The description emphasizes shared memory across agents and includes topics focused on agent plugins, agent skills, and MCP.

πŸ› οΈ Key Features

  • Decision memory for AI agents
  • Record, revisit, and resolve consequential choices
  • Shared decision memory across multiple agents
  • Topics: agent-plugins, agent-skills, mcp

πŸš€ Use Cases

  • Maintaining context for consequential decisions across agent sessions
  • Recalling decisions made earlier by other agents

⚑ Developer Benefits

  • Cross-agent shared decision memory (Claude, ChatGPT, Cursor, Codex, and others are mentioned)
  • Fits workflows involving MCP, agent plugins, and agent skills

⚠️ Limitations

  • Provided readme excerpt is truncated (β€œInstall in 30 seconds” section cuts off), so detailed operational constraints are not available in the source.

Topics

agent-pluginsagent-skillsmcp