Continuum MCP Server
by pouyahasanamrejiio.github.pouyahasanamreji/continuumv0.3.0
Shared memory + orchestration for your coding agents. Local-first MCP, vector RAG.
context tax
queued
security
queued
cold start
queued
freshness
Slowing5mo ago
Install Continuum MCP server
No published package or hosted endpoint yet — see the repository README for build-from-source instructions.
Configuration
| Variable | Required | Secret | Description |
|---|---|---|---|
| ORCHESTRATOR_DB_PATH | — | — | SQLite path inside container |
| EMBEDDER_URL | — | — | Optional HTTP embedder (Ollama/TEI/OpenAI-compatible). Unset = in-process embedder. |
| EMBEDDER_MODEL | — | — | Embedding model id |
| EMBEDDER_DIM | — | — | Embedding vector dimension |
Freshness
Slowing — last maintenance signal 5mo ago. The newest of the signals below sets the band.
Last commit (default branch)
2026-05-14 · 5mo ago · GitHub
Latest release
no data · GitHub
Package published
no data · npm/PyPI
Registry entry updated
2026-05-13 · 5mo ago · official registry · v0.3.0
FAQ
›Does Continuum require an API key?
No required environment variables are declared in its published metadata.
›Can I use Continuum 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 Continuum in the official MCP registry?
Yes, as io.github.pouyahasanamreji/continuum.
Alternatives to Continuum
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.