AgentIndex icon
AgentIndex
AgentRecall-X logo
AgentRecall-X
★ 371
vs
celiums-memory logo
celiums-memory
★ 23

AgentRecall-X vs celiums-memory

AgentRecall-X: AgentRecall is a unique agent memory system that not only stores human corrections but also measures whether these corrections lead to actual behavioral changes in the agent across sessions. It provides a governed corrections ledger and a measurement harness to track and verify if an agent stops repeating past mistakes.; celiums-memory: Celiums Memory is a cognitive memory engine designed to be embedded within other software like agents and assistants, providing persistent memory, journaling, and an auditable ethics engine. It speaks the Model Context Protocol (MCP) to offer these advanced cognitive capabilities without requiring developers to build them from scratch.

01

TL;DR

AgentRecall-X logo
AgentRecall-XMemory & Context · ★ 371

Ensuring AI agents learn from past mistakes and avoid repeating errors across sessions.

Read AgentRecall-X full review →
celiums-memory logo
celiums-memoryMemory & Context · ★ 23

Embedding into AI agents and assistants to provide persistent memory and context

Read celiums-memory full review →
02

Side-by-Side Comparison

Field
AgentRecall-X logoAgentRecall-X
celiums-memory logoceliums-memory
Category
Memory & Context
Memory & Context
Stars
★ 371
★ 23
License
MIT
Apache-2.0
Install Command
claude mcp add --scope user agent-recall -- npx -y agent-recall-mcp
git clone https://github.com/terrizoaguimor/celiums-memory.git && cd celiums-memory && cp .env.example .env && pnpm docker:up
Updated
1w ago
2mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Agent Memory, LLM Learning Loop, Correction Tracking
Cognitive Memory Engine, Agent Memory, Journaling
03

Features

AgentRecall-X logoAgentRecall-X
01Governed corrections ledger with severity, evidence, and outcome tracking.
02Unique measurement of behavioral change, tracking if agents stop repeating mistakes.
03Five distinct memory layers (episodic, semantic, procedural, narrative, correction) for comprehensive context.
04Local-first semantic recall using an ONNX embedding model for privacy and offline capability.
05Automated session loop for context loading and saving, plus nightly consolidation ('Dreaming').
celiums-memory logoceliums-memory
01Cognitive Memory with Hybrid Retrieval (vector + full-text + affective/PAD resonance)
02Append-Only Hash-Chained First-Person Agent Journal
03Auditable 4-Layer Ethics Engine for moral evaluation
04Per-User Biological Clock modulating arousal and recall
05Flexible Storage Adapters (SQLite for local/embedded, Postgres+Qdrant+Valkey for clustered)
04

Use Cases

AgentRecall-X logoAgentRecall-X
↳Ensuring AI agents learn from past mistakes and avoid repeating errors across sessions.
↳Evaluating agent performance by measuring the effectiveness of corrections and actual behavioral changes.
↳Managing structured, persistent memory for agents, including project context, skills, and past decisions.
↳Integrating agent memory into developer environments (e.g., Claude Code, VS Code) for seamless workflow.
↳Performing private and secure offline semantic search within an agent's knowledge base.
celiums-memory logoceliums-memory
↳Embedding into AI agents and assistants to provide persistent memory and context
↳Implementing auditable ethical guidance and decision-making for AI systems
↳Developing applications requiring first-person journaling and causal chain tracking for agents
↳Building scalable knowledge bases with hybrid retrieval capabilities for AI applications
↳Integrating advanced cognitive functions into any MCP-compatible client or custom software
05

Best For

AgentRecall-X logoAgentRecall-X
Hidden Gem
celiums-memory logoceliums-memory
—
FAQ

FAQ

What is the difference between AgentRecall-X and celiums-memory?
Both AgentRecall-X and celiums-memory are in the Memory & Context category. AgentRecall-X has 371 stars, while celiums-memory has 23 stars.
Which is better, AgentRecall-X or celiums-memory?
The best choice depends on your use case. Choose AgentRecall-X if Ensuring AI agents learn from past mistakes and avoid repeating errors across sessions., and celiums-memory if Embedding into AI agents and assistants to provide persistent memory and context.
Is AgentRecall-X free or open source?
Yes, AgentRecall-X is open source on GitHub (MIT).
Is celiums-memory free or open source?
Yes, celiums-memory is open source on GitHub (Apache-2.0).
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