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wikimemOurs

Use to give an agent a queryable wiki knowledge base when memory should be a navigable knowledge graph, not just a flat log: ingest files, folders, and URLs into a linked vault, then search or ask it in natural language.

Score
63.4392 signals
Evidence
7 stars · 4 forks
Last commit
as last read from GitHub; most reads are from 2 Sep 2026 or later
Listed

Install

No one-command install. Set it up from its source.

What it is

A wiki-style knowledge base for agents. It ingests files, folders, and URLs into a linked markdown vault, lints the vault for health, and serves search and natural-language Q&A over it via CLI or MCP. It is the brain/knowledge-base memory tier: structured, linked recall rather than a chronological log.

When to use it

When an agent needs to accumulate and query a body of knowledge (docs, research, project context) as a connected graph it can search or ask questions against. The trigger is "build a knowledge base the agent can query."

How to install / invoke

Use the wiki CLI (or its MCP tools) to ingest sources into a vault, then search or ask it questions. It can also run an observer/self-improvement pass over the vault to keep it connected and current.

Notes

Complements an append-only learnings log: the log is the chronological record, the wiki is the navigable graph. Treat the vault as navigation that links to sources, not a duplicate of them.

Related

MCPsPreview

obsidian-mcpvault

Use to let an agent read and write an Obsidian vault — search notes, follow wikilinks, and update frontmatter — so a markdown knowledge graph becomes a first-class agent surface.

1,674 stars
Harnessclaude
obsidianvaultnotesknowledge-graph
No one-command install · SourceDetails
MCPsStable

mem0-mcp

Use to give an agent long-term, cross-session memory backed by a managed service — store and semantically recall facts about a user or project that should persist across days and machines.

66,022 stars
Harnessclaudecodexcursor
memorylong-termsemanticcross-session
No one-command install · SourceDetails

Not Indexed

  • four-layer-memory