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Continuum MCP server

by pouyahasanamreji·io.github.pouyahasanamreji/continuum·v0.3.0·111 stars

Shared memory + orchestration for your coding agents. Local-first MCP, vector RAG.

B70/100grade B
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Safety scan
B70/100

full report

Adoption
Growing

111 stars

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If you have run it, two minutes of your experience saves the next person an afternoon.

Continuum tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • –Code scanpackage could not be scannedn/a
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 137 days ago8/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 70/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Continuum compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
70/100
higher than 37% of 4,460 AI and agents servers
GitHub stars
111
more than 95% of 2,711 AI and agents servers

Install Continuum in Claude Code, Cursor or VS Code

claude mcp add continuum -- docker run -i --rm docker.io/pouyahasanamreji/continuum:0.3.0
Add to Cursor

What the publisher says

From the Continuum repository's README, as published. We do not edit it. Read it on GitHub

Shared memory + orchestration for your coding agents.

One MCP server. Tell any client to read the plot — it becomes the orchestrator. Dispatches fresh agents in isolated worktrees, shares lessons across every Claude Code / Codex / Cline chat on the project.

Quick Start • Memory & Vectors • Workflow • MCP Tools • Wire It In • Configuration

Your agents forget. Continuum remembers.

Point any MCP client at Continuum and tell it to read the plot. The client becomes an orchestrator — it researches the codebase, verifies the plan, persists a dispatch record, and hands you a ready-to-paste prompt for a fresh agent in an isolated git worktree. Every other Claude Code / Codex / Cline chat on the project sees what's reserved, shares what's been learned, and never re-explains the codebase. One local server: vector knowledge base, orchestration protocol, agent registry — shared across every MCP-speaking app on your machine.

flowchart TD
    CC["Claude Code"]
    CX["Codex"]
    CL["Cline"]
    YOU["YOU"]

    subgraph CONTINUUM["CONTINUUM ORCHESTRATOR"]
        direction LR
        PLOT["PLOT.md<br/>protocol"]
        KNOW["KNOWLEDGE<br/>(vectorized)"]
        AGENTS["AGENTS<br/>registry"]
        PANEL["WEB PANEL<br/>(humans)"]
    end

    DB[("SQLite + sqlite-vec<br/>one file, your disk")]

    CC -- MCP --> CONTINUUM
    CX -- MCP --> CONTINUUM
    CL -- MCP --> CONTINUUM
    YOU -- HTTP --> CONTINUUM
    CONTINUUM --> DB

No SaaS. No telemetry. No keys to manage. Boots in seconds. Survives reboots. Scales with you.

What you get

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Continuum: common questions

Is Continuum MCP server safe?
Mostly: it is graded B (70/100). Read the Continuum safety report
How do I install Continuum?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Continuum need an API key?
No secret keys are declared. It reads 4 settings from the environment.
Is Continuum maintained?
The last commit was 174 days ago (2026-05-14). The latest release is v0.3.0.
What can I use instead of Continuum?
Servers from other publishers that do the same job: Basic Memory MCP server, Mnemoverse Memory MCP server and Agent Recall MCP server. Compare all Continuum alternatives.
How does Continuum compare with other AI and agents MCP servers?
safety score 70/100 (higher than 37% of 4,460 AI and agents servers); github stars 111 (more than 95% of 2,711 AI and agents servers). Full comparison.

Alternatives to Continuum

Same job from other publishers: the closest match first, then the best rated.

All Continuum alternatives →
  • Basic Memory
    Local-first knowledge management with bi-directional LLM sync via Markdown files.
    B
  • Mnemoverse Memory
    Hosted agent memory that learns from outcomes, with shared rooms. No key: mcp.mnemoverse.com/mcp
    A
  • Agent Recall
    Correction-first agent memory. Precision KPI tracks if agents heed warnings. 5 layers, local-only.
    A
  • MCP AutoMem
    Graph-vector memory for AI assistants using FalkorDB and Qdrant
    C
  • Total Agent Memory
    Persistent local memory for coding agents: temporal knowledge graph, procedural and episodic recall
    A