"Sage" matching MCP servers:

Shared, code-grounded memory for developers and their coding agents. Capture a learning once and the whole team plus every agent recalls it; memory is grounded in your code and stored as git-tracked JSON reviewed in PRs, with citations validated on write and stale memory withheld from recall. Works with any MCP client.

Persistent, consensus-validated institutional memory for AI agents. Gives LLMs real memory that survives across sessions - validated through BFT consensus, not just dumped to a file.

Enables AI agents to perform fused hybrid search and reorganize documents, folders, and metadata in the SAGA document archive via MCP tools.

Connects AI agents to Sagu radars, pings, and artifacts for intelligence operations, enabling radar search, context packet export, and artifact management.

Enables full read/write management of SAG knowledge bases, including source and document CRUD, semantic search, knowledge graph queries, and model configuration through 18 MCP tools.

I gave Claude a mass grave of 200 markdown files and now it remembers my entire project between sessions. No cloud, no API keys, one 10mb Go binary, and private. Stateless Agent Memory Engine is your synapse to the CLI.

An AI memory system that creates isolated, persistent memory banks for each codebase, solving the context-switching problem by keeping project knowledge separate and accessible across sessions.

Enables AI agents to manage and interact with Apache AGE graph databases through natural language. Supports creating, updating, querying, and visualizing multiple graphs with vertices and edges.

An MCP server for managing career experience data using the JSON Resume schema with custom extensions. It enables AI agents to store, update, and retrieve detailed work history, projects, and achievements to facilitate tailored resume generation.

Provides structured local memory for Claude Desktop, reducing token usage by over 95% through intelligent retrieval and layered storage.