mcp-memory-service

Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous…

A new way for AI to search for data
View on GitHub
2,043GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit ca46032e58 (2026-10-15).

Selected work

Soukyu
@ducanhnguyen223

“propagate Cloudflare tombstones during hybrid sync”. 10 files, 1,580 lines in tests, src/mcp_memory_service.

Licence

The repository

Apache-2.0

Checked by a person at the pinned commit.

The XERJ corpus

Apache-2.0, with credit

The author agreed by email on 2026-10-22. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

mcpmemorysemantic-searchvector-databaseclaudevector-storagesqlite-vecmcp-server

Example questions

The prompt

Paste it into your AI agent. It clones doobidoo/mcp-memory-service at the pinned commit and indexes it on your machine.

Search the GitHub repository doobidoo/mcp-memory-service with XERJ (https://hub.xerj.org/corpus/doobidoo--mcp-memory-service).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/doobidoo/mcp-memory-service mcp-memory-service && git -C mcp-memory-service checkout ca46032e5844c49310e20f8fb89dc13d8b22026f
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./mcp-memory-service --url http://127.0.0.1:9200 --prefix mcp-memory-service --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: Apache-2.0. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.