AgentIndex icon
AgentIndex
OpenLore logo
OpenLore
★ 355
vs
iai-mcp logo
iai-mcp
★ 916

OpenLore vs iai-mcp

OpenLore: OpenLore turns any evolving codebase into a navigable knowledge graph backed by OpenSpec living specifications. It maintains persistent architectural context across AI agent sessions, reducing token consumption for orientation from 15,000-50,000 to about 1,000-3,000 tokens. The three-layer system includes static analysis, spec generation, and an MCP agent runtime with 45 tools.; iai-mcp: IAI-MCP is a local memory layer for MCP-compatible AI assistants. It captures every conversation turn verbatim, organizes them over time, and serves relevant memories at the start of new sessions. All data is encrypted locally with AES-256-GCM and never leaves your machine.

01

TL;DR

OpenLore logo
OpenLoreRAG / Knowledge Base · ★ 355

AI coding agents need to quickly understand codebase structure and maintain context across sessions without re-reading files

Read OpenLore full review →
iai-mcp logo
iai-mcpRAG / Knowledge Base · ★ 916

Provide long-term memory for Claude Code, Codex CLI, and other MCP assistants

Read iai-mcp full review →
02

Side-by-Side Comparison

Field
OpenLore logoOpenLore
iai-mcp logoiai-mcp
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 355
★ 916
License
MIT
MIT
Install Command
npm install -g openlore && cd /path/to/your-project && openlore analyze && openlore install && openlore mcp
git clone https://github.com/CodeAbra/iai-mcp.git && cd iai-mcp && bash scripts/install.sh
Updated
2d ago
5d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
adr, agentic-workflows, ai-agents
ai-agents, ai-memory, claude
03

Features

OpenLore logoOpenLore
01Persistent call graph with incremental updates via --watch-auto for live codebase awareness
02Spec drift detection in milliseconds comparing git changes against spec mappings
03Epistemic Lease mechanism to model and signal architectural context decay in long sessions
0445 MCP tools including orient(), graph traversal, semantic search, and drift awareness
05Multi-agent surface auto-install (Claude Code, Cursor, Cline, Continue) via openlore install
iai-mcp logoiai-mcp
01Ambient capture of all conversation turns with timestamps and metadata
02Automatic recall of relevant memories at session start
03Fully local, no telemetry or cloud dependency
04Encrypted at rest with AES-256-GCM
05Verbatim recall >=99% at 10k episodes
04

Use Cases

OpenLore logoOpenLore
↳AI coding agents need to quickly understand codebase structure and maintain context across sessions without re-reading files
↳Detecting when code drifts from documented specifications to enforce architectural governance
↳Preventing architectural assumptions from decaying in long agent sessions, especially in monorepos or cross-repo workflows
iai-mcp logoiai-mcp
↳Provide long-term memory for Claude Code, Codex CLI, and other MCP assistants
↳Eliminate the need to repeat context across sessions
↳Personalize AI assistant behavior over time based on past interactions
05

Best For

OpenLore logoOpenLore
—
iai-mcp logoiai-mcp
Trending
FAQ

FAQ

What is the difference between OpenLore and iai-mcp?
Both OpenLore and iai-mcp are in the RAG / Knowledge Base category. OpenLore has 355 stars, while iai-mcp has 916 stars.
Which is better, OpenLore or iai-mcp?
The best choice depends on your use case. Choose OpenLore if AI coding agents need to quickly understand codebase structure and maintain context across sessions without re-reading files, and iai-mcp if Provide long-term memory for Claude Code, Codex CLI, and other MCP assistants.
Is OpenLore free or open source?
Yes, OpenLore is open source on GitHub (MIT).
Is iai-mcp free or open source?
Yes, iai-mcp is open source on GitHub (MIT).
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Related

Alternatives to OpenLore →Alternatives to iai-mcp →OpenLore details →iai-mcp details →