AI Agent with Architectural Memory. Impact analysis (free), tests and code from the graph (pro).
Most knowledge and memory work still happens through a UI a human drives. Hokmah MCP server moves it into the conversation instead. AI Agent with Architectural Memory. Impact analysis (free), tests and code from the graph (pro).
Gives any AI coding agent persistent understanding of codebases via TransitionGraph, IdeaGraph, and WorldModel. Analyze impact, generate tests, write code — all from the graph.
The server publishes 5 tools. What each one is for:
hokmah_analyze — FREEhokmah_connect_project — FREEhokmah_connect_mcp — FREEhokmah_generate_tests — PROhokmah_generate_code — PROBecause this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
Among the knowledge and memory options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Hokmah's toolset — hokmah_analyze, hokmah_connect_project, hokmah_connect_mcp and 2 more — is a fair guide to whether it matches your workflow. It is maintained by davidangularme; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Hokmah's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| hokmah_analyze | **FREE** |
| hokmah_connect_project | **FREE** |
| hokmah_connect_mcp | **FREE** |
| hokmah_generate_tests | **PRO** |
| hokmah_generate_code | **PRO** |
{
"mcpServers": {
"hokmah": {
"type": "streamable-http",
"url": "https://hokmah.dev/mcp"
}
}
}Configuration as documented by the project. Restart the client after saving.
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.