AgentIndex icon
AgentIndex
piia-engram logo
piia-engram
★ 163
vs
widemem-ai logo
widemem-ai
★ 49

piia-engram vs widemem-ai

piia-engram: piia-engram is a local-first AI identity layer that stores your profile, preferences, lessons learned, and key decisions as local JSON files. It exposes them through the MCP protocol so that all compatible AI tools (like Claude Code, Codex, and Cursor) read the same identity, eliminating the need to re-explain yourself across sessions, tool switches, or updates.; widemem-ai: widemem is an open-source AI memory layer that provides persistent, locally-stored memory with importance scoring, time decay, hierarchical recall, and YMYL prioritization. It resolves conflicts, admits uncertainty, and supports multiple LLM and embedding providers, making it ideal for building AI assistants that remember what matters.

01

TL;DR

piia-engram logo
piia-engramMemory & Context · ★ 163

Maintain consistent identity when switching between multiple AI coding tools

Read piia-engram full review →
widemem-ai logo
widemem-aiMemory & Context · ★ 49

Chatbots and conversational AI with persistent, accurate memory

Read widemem-ai full review →
02

Side-by-Side Comparison

Field
piia-engram logopiia-engram
widemem-ai logowidemem-ai
Category
Memory & Context
Memory & Context
Stars
★ 163
★ 49
License
Apache-2.0
NOASSERTION
Install Command
pip install piia-engram && engram setup
pip install widemem-ai
Updated
1d ago
4d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai-agent, ai-identity, ai-memory
agent-memory, ai, ai-agent
03

Features

piia-engram logopiia-engram
01Local-first JSON storage under ~/.engram/
02MCP-native — integrates with any MCP-compatible AI tool
03Cross-tool identity persistence across Claude Code, Codex, Cursor, and more
04Knowledge inheritance across projects
05Passive knowledge capture from session summaries
widemem-ai logowidemem-ai
01Batch conflict resolution: single LLM call for multiple fact updates
02Importance scoring (1-10) with configurable time decay (exponential, linear, step, none)
03Hierarchical memory: facts roll up into summaries, summaries into themes
04YMYL (Your Money or Your Life) prioritization for health, legal, and financial facts
05Uncertainty and confidence modes: strict, helpful, creative, with pinning and frustration recovery
04

Use Cases

piia-engram logopiia-engram
↳Maintain consistent identity when switching between multiple AI coding tools
↳Avoid re-explaining preferences and lessons in frequent new AI chat sessions
↳Preserve personal context after AI tool updates or version changes
widemem-ai logowidemem-ai
↳Chatbots and conversational AI with persistent, accurate memory
↳Personal assistants that remember user preferences, critical information, and life details
↳Healthcare, legal, or financial applications requiring reliable retention of important facts
FAQ

FAQ

What is the difference between piia-engram and widemem-ai?
Both piia-engram and widemem-ai are in the Memory & Context category. piia-engram has 163 stars, while widemem-ai has 49 stars.
Which is better, piia-engram or widemem-ai?
The best choice depends on your use case. Choose piia-engram if Maintain consistent identity when switching between multiple AI coding tools, and widemem-ai if Chatbots and conversational AI with persistent, accurate memory.
Is piia-engram free or open source?
Yes, piia-engram is open source on GitHub (Apache-2.0).
Is widemem-ai free or open source?
Yes, widemem-ai is open source on GitHub (NOASSERTION).
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Related

Alternatives to piia-engram →Alternatives to widemem-ai →piia-engram details →widemem-ai details →