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

engram vs widemem-ai

engram: Engram is a local identity layer for AI tools that stores your profile, preferences, lessons learned, and key decisions as local JSON files. It exposes them through MCP so every AI tool reads the same context, persisting across sessions, tool updates, and switches. 100% local and open source.; 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

engram logo
engramMemory & Context · ★ 163

Developers: Maintain quality standards, architecture decisions, and lessons across projects.

Read 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
engram logoengram
widemem-ai logowidemem-ai
Category
Memory & Context
Memory & Context
Stars
★ 163
★ 49
License
Apache-2.0
NOASSERTION
Install Command
pip install piia-engram
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

engram logoengram
01Cross-tool identity sharing
02Local-first, private data
03MCP-compatible
04Knowledge inheritance across projects
05Passive knowledge capture
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

engram logoengram
↳Developers: Maintain quality standards, architecture decisions, and lessons across projects.
↳Investment analysts: Store reasoning chains for decisions across analyses.
↳System architects: Keep Architecture Decision Records that persist across companies.
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 engram and widemem-ai?
Both engram and widemem-ai are in the Memory & Context category. engram has 163 stars, while widemem-ai has 49 stars.
Which is better, engram or widemem-ai?
The best choice depends on your use case. Choose engram if Developers: Maintain quality standards, architecture decisions, and lessons across projects., and widemem-ai if Chatbots and conversational AI with persistent, accurate memory.
Is engram free or open source?
Yes, 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 engram →Alternatives to widemem-ai →engram details →widemem-ai details →