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Turn agent work into reusable memory across projects and the organization.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Cambium" MCP server from askskill: Run: claude mcp add 'io-github-jarmstrong158-cambium' -- npx -y cambium-mcp
Please turn this project's technology choices, key constraints, and validated solutions into reusable memory for future projects.
Structured project memory containing decisions, context, constraints, and reusable lessons.
Find past project knowledge related to multi-agent collaboration and long-term memory, then summarize it into reference points for this design.
Relevant past memories plus a summary of recommendations for the current task.
Promote this repeatedly validated team workflow into organization-level knowledge, including when to use it and reuse guidance.
A shareable organization-level knowledge entry with usage guidance.
Developers or researchers can convert ongoing agent work into memory so they do not need to repeatedly summarize or re-learn the same lessons.
When a team starts a similar project, it can recall relevant memories from previous work to quickly inherit context, approaches, and conclusions.
Product and engineering teams can promote repeatedly validated work into organization-level knowledge for broader reuse and continuity.
Based on the description, it is a knowledge-lifecycle MCP tool that turns agent work into memory and supports cross-project recall and promotion to the organization level.
It is suited for workflows where you want to preserve agent output over time, reuse knowledge across projects, or elevate team knowledge into organization-wide knowledge.
The provided material does not include installation steps, runtime details, or key requirements. See the source repository for those details.
Give AI assistants persistent memory, adaptive recall, and graph-based knowledge retrieval.
Give MCP-compatible agents persistent memory, fact storage, and relationship graphs.
Store and retrieve project memory for coding assistants via MCP tools.
Store project rules, context, and decisions for reuse across MCP clients.
Give AI assistants a persistent, searchable memory layer and context management.
Give AI coding agents persistent, traceable memory across projects and past decisions.