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MCP Task Orchestrator vs darwin-memo

MCP Task Orchestrator is an MCP server published by jpicklyk. Marketplaces we read that list it: 2 (Official MCP Registry, Docker MCP Catalog). darwin-memo is an MCP server published by rogermsc. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-23. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.

Where each is published

Where each is published
MarketplaceMCP Task Orchestratordarwin-memo
Official MCP Registry Listed
Version: 3.16.0
Forks (GitHub): 25
Stars (GitHub): 209
Not marked · First seen
Listed
Version: 0.7.1
Downloads/month (PyPI): 252
Downloads/week (PyPI): 39
Forks (GitHub): 0
Stars (GitHub): 0
Not marked · First seen
Docker MCP Catalog Listed
Version: sha256:eab0bb62611a
Forks (GitHub): 25
Stars (GitHub): 209
Not marked · First seen
Not listed

Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.

The facts side by side

MCP Task Orchestrator vs darwin-memo
FactMCP Task Orchestratordarwin-memo
Marketplaces that list it (differs)2 (better)1 (worse)
Stars (GitHub) (differs)209 (better)0 (worse)
Forks (GitHub) (differs)25 (better)0 (worse)
Last releaseNot publishedNot published
Where it runs (differs)On your machine (ghcr.io/jpicklyk/task-orchestrator:3.16.0)On your machine (darwin-memo)
Transportstdiostdio
Tools it declares (differs)42Not published
Environment variables it asks for (differs)7, secrets among them: 01, secrets among them: 0
Licence (differs)MITNot stated
Repository (differs)github.com/jpicklyk/task-orchestratorgithub.com/rogermsc/darwin-memo
Changes in the last 7 days00
First seen2026-10-112026-10-11

Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.

What each says it does

MCP Task Orchestrator

In its own words, on Official MCP Registry:

Server-enforced workflow discipline for AI agents: work items, dependency graphs, quality gates

darwin-memo

In its own words, on Official MCP Registry:

Self-curating agent memory kept honest by survival-based selection over measured outcomes.

How to run each

MCP Task Orchestrator As a local MCP server: Docker image

Claude Code
claude mcp add --transport stdio task-orchestrator -- docker run -i --rm -v mcp-task-data:/app/data ghcr.io/jpicklyk/task-orchestrator:3.16.0

darwin-memo As a local MCP server: PyPI package

Claude Code
claude mcp add --transport stdio darwin-memo -- uvx --with "darwin-memo[mcp]" darwin-memo mcp

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Tools each declares

The marketplaces of darwin-memo publish no list of tools, so we do not compare tools.

Settings each asks for

Only MCP Task Orchestrator asks for

  • AGENT_CONFIG_DIR
  • DATABASE_PATH
  • LOG_FILE
  • LOG_LEVEL
  • MCP_HTTP_PORT
  • MCP_TRANSPORT
  • USE_FLYWAY

Only darwin-memo asks for

  • DARWIN_MEMO_PATH

Settings as each marketplace publishes them. Asking for fewer is not better in itself.

What it can do: MCP Task Orchestrator · What it can do: darwin-memo · Compare two other plugins

Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.

Where the data comes from: how the catalog is built