codemem MCP Server
by jeang42io.github.jeang42/codememv0.1.0
Shared memory for coding agents: projects, reusable code, sessions and commits across machines
context tax
queued
security
queued
cold start
queued
freshness
Active4d ago
Install codemem MCP server
No published package or hosted endpoint yet — see the repository README for build-from-source instructions.
Configuration
| Variable | Required | Secret | Description |
|---|---|---|---|
| CODEMEM_DATA | — | — | Directory for the database and backups |
| CODEMEM_DB | — | — | Path to the SQLite database (overrides CODEMEM_DATA) |
| CODEMEM_HOST | — | — | Address to bind. The server has no authentication; use 127.0.0.1 unless the network is trusted |
| CODEMEM_PORT | — | — | Port for MCP (/mcp) and the web UI. The transport URL assumes 8055 |
| OLLAMA_URL | — | — | Ollama base URL for embeddings (semantic search). Without it, search is BM25 only |
| CODEMEM_EMBED | — | — | Set to false to disable embeddings entirely |
| GIT_ROOT | — | — | Directory of bare git repos to read for the commit feed |
Freshness
Active — last maintenance signal 4d ago. The newest of the signals below sets the band.
Last commit (default branch)
2026-10-06 · 4d ago · GitHub
Latest release
2026-09-25 · 14d ago · GitHub · v0.1.0
Package published
no data · npm/PyPI
Registry entry updated
2026-09-25 · 14d ago · official registry · v0.1.0
FAQ
›Does codemem require an API key?
No required environment variables are declared in its published metadata.
›Can I use codemem as a remote (hosted) MCP server?
Yes. It is a hosted MCP server; connect to its URL with any client that supports remote MCP.
›Is codemem in the official MCP registry?
Yes, as io.github.jeang42/codemem.
Alternatives to codemem
Other memory MCP servers.
MemoryActiveKnowledge graph-based persistent memory for maintaining context.
HindsightActiveHindsight: long-term memory for AI agents modeled on human memory.
Codebase MemoryActiveIndexes a repo into a persistent local knowledge graph of functions, classes, call chains, HTTP routes and cross-service links, using tree-sitter and LSP.
CogneeActiveMemory manager for AI apps and agents using graph and vector stores, with ingestion from many data sources.
HonchoActiveMemory that reasons: continual learning for stateful agents. Better context, fewer tokens.
Basic MemoryActiveLocal-first AI memory: a semantic knowledge graph of Markdown files that humans and LLMs both read and write, with optional cloud sync and team workspaces.