AgentIndex icon
AgentIndex
origin logo
origin
★ 86
vs
superlocalmemory logo
superlocalmemory
★ 255

origin vs superlocalmemory

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.; superlocalmemory: SuperLocalMemory V3 is a local-first AI agent memory system that uses mathematical techniques (differential geometry, algebraic topology, stochastic analysis) to replace cloud LLM dependency. It offers three operating modes, achieves high benchmark scores, and is EU AI Act compliant.

01

TL;DR

origin logo
originMemory & Context · ★ 86

Maintaining persistent context across AI work sessions

Read origin full review →
superlocalmemory logo
superlocalmemoryRAG / Knowledge Base · ★ 255

IDE integration (Claude Code, Cursor, Windsurf)

Read superlocalmemory full review →
02

Side-by-Side Comparison

Field
origin logoorigin
superlocalmemory logosuperlocalmemory
Category
Memory & Context
RAG / Knowledge Base
Stars
★ 86
★ 255
License
Apache-2.0
AGPL-3.0
Install Command
npx -y @7xuanlu/origin setup
npm install -g superlocalmemory
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-memory, ai-agents, ai-memory
agent-memory, agent-reliability, ai-agents
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
superlocalmemory logosuperlocalmemory
015-channel hybrid retrieval (Semantic, BM25, Entity Graph, Temporal, Hopfield)
02Auto-learned soft prompts and adaptive memory lifecycle
03Skill evolution with performance tracking
04Tiered storage (active/warm/cold/archived)
05Trust & Security (Bayesian trust scoring, ABAC, audit trail)
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
superlocalmemory logosuperlocalmemory
↳IDE integration (Claude Code, Cursor, Windsurf)
↳CI/CD pipelines
↳Agent frameworks (OpenClaw, Codex, Goose)
FAQ

FAQ

What is the difference between origin and superlocalmemory?
Both origin and superlocalmemory are in the Memory & Context category. origin has 86 stars, while superlocalmemory has 255 stars.
Which is better, origin or superlocalmemory?
The best choice depends on your use case. Choose origin if Maintaining persistent context across AI work sessions, and superlocalmemory if IDE integration (Claude Code, Cursor, Windsurf).
Is origin free or open source?
Yes, origin is open source on GitHub (Apache-2.0).
Is superlocalmemory free or open source?
Yes, superlocalmemory is open source on GitHub (AGPL-3.0).
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Related

Alternatives to origin →Alternatives to superlocalmemory →origin details →superlocalmemory details →