AgentIndex icon
AgentIndex
llm-wiki-kit logo
llm-wiki-kit
★ 61
vs
ogham-mcp logo
ogham-mcp
★ 116

llm-wiki-kit vs ogham-mcp

llm-wiki-kit: llm-wiki-kit gives your AI agent a persistent, structured memory that compounds over time. Drop PDFs, URLs, YouTube videos — your agent builds a wiki, connects the dots, and remembers everything across sessions. It works with Claude, Codex, Cursor, Windsurf, and any MCP-compatible agent.; ogham-mcp: Ogham MCP is a persistent, searchable shared memory system for AI coding agents that works across different clients and sessions. It stores memories as vector embeddings in PostgreSQL, enabling hybrid search combining semantic and full-text retrieval with high accuracy. Ogham supports multiple embedding providers, knowledge graph traversal, wiki compilation, and automatic memory management features like scoring, condensing, and novelty detection.

01

TL;DR

llm-wiki-kit logo
llm-wiki-kitMemory & Context · ★ 61

Research: feed papers and ask synthesis questions across sources

Read llm-wiki-kit full review →
ogham-mcp logo
ogham-mcpMemory & Context · ★ 116

Store and retrieve architectural decisions and coding context across sessions and different AI coding agents

Read ogham-mcp full review →
02

Side-by-Side Comparison

Field
llm-wiki-kit logollm-wiki-kit
ogham-mcp logoogham-mcp
Category
Memory & Context
Memory & Context
Stars
★ 61
★ 116
License
MIT
MIT
Install Command
pip install "llm-wiki-kit[all] @ git+https://github.com/iamsashank09/llm-wiki-kit.git"
uvx --from ogham-mcp ogham init
Updated
6mo ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai-agent, knowledge-base, llm
agent-memory, ai-memory, claude
03

Features

llm-wiki-kit logollm-wiki-kit
01Multi-format ingest (PDFs, URLs, YouTube, markdown)
02Auto cross-referencing with wiki links
03Persistent memory across sessions
04Full-text search via SQLite FTS5
05Health checks (broken links, orphan pages)
ogham-mcp logoogham-mcp
01Persistent shared memory across sessions and clients
02Hybrid search with Reciprocal Rank Fusion (semantic + full-text)
03Knowledge graph with entity linking, traversal, and contradiction detection
04Multi-provider embeddings (OpenAI, Ollama, Mistral, Voyage, Gemini, ONNX)
05Automatic condensing, scoring, novelty detection, and memory lifecycle management
04

Use Cases

llm-wiki-kit logollm-wiki-kit
↳Research: feed papers and ask synthesis questions across sources
↳Technical onboarding: ingest codebase docs for architecture queries
↳Learning: build a personalized wiki from tutorials and blog posts
ogham-mcp logoogham-mcp
↳Store and retrieve architectural decisions and coding context across sessions and different AI coding agents
↳Provide consistent, context-aware assistance to AI coding agents by maintaining a shared knowledge base
↳Preserve project-specific information, preferences, and facts for long-term reference without repetition
FAQ

FAQ

What is the difference between llm-wiki-kit and ogham-mcp?
Both llm-wiki-kit and ogham-mcp are in the Memory & Context category. llm-wiki-kit has 61 stars, while ogham-mcp has 116 stars.
Which is better, llm-wiki-kit or ogham-mcp?
The best choice depends on your use case. Choose llm-wiki-kit if Research: feed papers and ask synthesis questions across sources, and ogham-mcp if Store and retrieve architectural decisions and coding context across sessions and different AI coding agents.
Is llm-wiki-kit free or open source?
Yes, llm-wiki-kit is open source on GitHub (MIT).
Is ogham-mcp free or open source?
Yes, ogham-mcp is open source on GitHub (MIT).
Cloud Infrastructure
Ad

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

Claim $200 Free Credit
→

Related

Alternatives to llm-wiki-kit →Alternatives to ogham-mcp →llm-wiki-kit details →ogham-mcp details →