AgentIndex icon
AgentIndex
origin logo
origin
★ 86
vs
Zengram logo
Zengram
★ 64

origin vs Zengram

origin: Origin provides a local memory and knowledge system for AI workflows, enabling agents to recall past context, capture decisions and lessons, and distill them into versioned wiki pages. It uses hybrid retrieval (vector + FTS + graph) and git versioning for auditable, refreshable context.; Zengram: Zengram is a shared memory system for multi-agent AI systems, enabling agents to store and retrieve memories across machines. It features typed memory, dual storage (Qdrant + SQLite/Postgres), multi-path search, and cross-agent capabilities like briefings and corroboration. Self-hosted, open-source, with MCP server and SDKs.

01

TL;DR

origin logo
originMemory & Context · ★ 86

Maintaining persistent context across AI work sessions

Read origin full review →
Zengram logo
ZengramMemory & Context · ★ 64

Cross-agent memory sharing across different machines

Read Zengram full review →
02

Side-by-Side Comparison

Field
origin logoorigin
Zengram logoZengram
Category
Memory & Context
Memory & Context
Stars
★ 86
★ 64
License
Apache-2.0
MIT
Install Command
npx -y @7xuanlu/origin setup
git clone https://github.com/ZenSystemAI/zengram.git && cd zengram && cp .env.example .env && docker compose up -d
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-memory, ai-agents, ai-memory
claude, claude-ai, claude-code
03

Features

origin logoorigin
01Composition of memories into pages and entity graph linking
02Real git versioning for every memory write
03Mandatory provenance with refreshable wiki pages
04Hybrid retrieval: vector, FTS, and graph context
05Background enrichment, deduplication, and confidence decay
Zengram logoZengram
01Typed memory: events, facts, statuses, decisions
02Dual storage with semantic and structured search
03Multi-path search (vector, BM25, entity graph) with RRF fusion
04Cross-agent capabilities: briefings, corroboration, credential scrubbing
05Self-hosted, open-source, with MCP server and SDKs
04

Use Cases

origin logoorigin
↳Maintaining persistent context across AI work sessions
↳Capturing and retrieving decisions, lessons, and project facts
↳Distilling related memories into searchable wiki pages
Zengram logoZengram
↳Cross-agent memory sharing across different machines
↳Session reflection and context retrieval for agents
↳Logging memories from automation tools (e.g., n8n) for AI agents
FAQ

FAQ

What is the difference between origin and Zengram?
Both origin and Zengram are in the Memory & Context category. origin has 86 stars, while Zengram has 64 stars.
Which is better, origin or Zengram?
The best choice depends on your use case. Choose origin if Maintaining persistent context across AI work sessions, and Zengram if Cross-agent memory sharing across different machines.
Is origin free or open source?
Yes, origin is open source on GitHub (Apache-2.0).
Is Zengram free or open source?
Yes, Zengram is open source on GitHub (MIT).
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Related

Alternatives to origin →Alternatives to Zengram →origin details →Zengram details →