agendum is an MCP server for AI coding agents that adds persistent project memory, scoped work packages, dependency tracking, and cross-session continuity. It stores project state in human-readable Markdown/YAML files and exposes tools to plan, ingest, track, and complete tasks.
From the registry: AI agent memory: task tracking, scoped work packages, decisions, and cross-session continuity
$ pip install agendumhttps://pypi.org/project/agendum/Please install the `agendum` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install Python 3.13+** — agendum requires Python 3.13 or newer. (https://www.python.org/downloads/)
- **Install uvx or install agendum via pip** — The recommended MCP config uses uvx to run agendum. Alternatively, you can install the package with pip for CLI use. Run: `pip install agendum` (https://pypi.org/project/agendum/)
Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["agendum","--home","serve"]
Note: README states all MCP clients except VS Code use the same underlying stdio command/args. No environment variables are documented as required for the MCP server. Optional vector search is mentioned via agendum[vectors], but it is not required for the default MCP setup.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.