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Manage persistent agent artifacts across sessions with searchable, traceable ledger entries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "akm-mcp" yet — see the docs or source repo.
Register the key conclusions from this conversation in the persistent ledger, with source, timestamp, and purpose for future reuse.
A traceable ledger entry that can be retrieved and reused later.
Search the ledger for historical entries related to "release checklist" and return the most relevant records.
A summary of matching historical records and related metadata.
First find any previously registered definitions, then generate this output based on existing records to keep consistency.
A new result that is consistent with and traceable to prior records.
Useful for developers and researchers who need an AI to remember prior conclusions, terms, or intermediate artifacts. It stores key content in a persistent ledger for later retrieval and reuse.
Useful for teams that want to audit the origin and evolution of AI outputs. Search, retrieve, and register entries to preserve a clear trail.
Useful in product and content workflows where the AI checks prior records before generating new output, reducing inconsistencies.
It is an MCP server that gives AI agents tools to search, retrieve, and register entries. Its core purpose is to manage cross-session artifacts in a persistent ledger for consistency and traceability.
It fits scenarios that need to preserve prior conclusions, reuse intermediate results, or trace the source of AI outputs. It is especially useful for ongoing context management in development, research, and product workflows.
The provided description does not include installation or prerequisite details; see the source repository.
Centralize memory, tools, and logic for leaner prompts and scalable AI agents.
Give AI agents persistent memory, searchable knowledge, and automatic consolidation.
Give AI assistants a persistent, searchable memory layer and context management.
Manage persistent agent memories across global or repository-specific scopes.
Adds persistent layered memory and search for AI agents locally.
Give AI coding assistants memory, code graph insight, and safe multi-agent coordination.