AgentIndex icon
AgentIndex
AgentRecall-X logo
AgentRecall-X
★ 371
vs
okf-agent-memory logo
okf-agent-memory
★ 827

AgentRecall-X vs okf-agent-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.; okf-agent-memory: OKF Agent Memory provides a domain-neutral, Git-native persistent project memory for AI agents, leveraging the Dual-Memory Agent Architecture to prevent context bloat and memory rot. It uses an ultra-compact behavioral codex and a queryable OKF v0.2 knowledge bundle, with blazing-fast, zero-cost local retrieval.

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 →
okf-agent-memory logo
okf-agent-memoryMemory & Context · ★ 827

Software Engineering: Managing architecture decisions, code references, and operational constraints.

Read okf-agent-memory full review →
02

Side-by-Side Comparison

Field
AgentRecall-X logoAgentRecall-X
okf-agent-memory logookf-agent-memory
Category
Memory & Context
Memory & Context
Stars
★ 371
★ 827
License
MIT
MIT
Install Command
claude mcp add --scope user agent-recall -- npx -y agent-recall-mcp
git clone https://github.com/okf-memory/okf-agent-memory.git && cd okf-agent-memory && make build
Updated
1w ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Agent Memory, LLM Learning Loop, Correction Tracking
AI Agents, Persistent Memory, Knowledge Base
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').
okf-agent-memory logookf-agent-memory
01Dual-Memory Cognitive Architecture (DMAA) to eliminate prompt bloat.
02Blazing fast performance with in-memory BM25 search (<300µs) and graph validation (~4ms).
03100% Git-native, zero vendor lock-in, and zero API costs for memory retrieval.
04Built on Google's Open Knowledge Format (OKF) v0.2 for standardized agent knowledge.
05Solves context bloat and memory rot through progressive disclosure and Search-Before-Write principle.
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.
okf-agent-memory logookf-agent-memory
↳Software Engineering: Managing architecture decisions, code references, and operational constraints.
↳Scientific Research & Literature Reviews: Organizing and querying research findings and insights.
↳Coaching & Operations: Storing client session history, ethical guidelines, and runbooks.
↳Multi-Agent Collaboration: Providing a shared, auditable knowledge base for autonomous agents.
05

Best For

AgentRecall-X logoAgentRecall-X
Hidden Gem
okf-agent-memory logookf-agent-memory
Hidden Gem
FAQ

FAQ

What is the difference between AgentRecall-X and okf-agent-memory?
Both AgentRecall-X and okf-agent-memory are in the Memory & Context category. AgentRecall-X has 371 stars, while okf-agent-memory has 827 stars.
Which is better, AgentRecall-X or okf-agent-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 okf-agent-memory if Software Engineering: Managing architecture decisions, code references, and operational constraints..
Is AgentRecall-X free or open source?
Yes, AgentRecall-X is open source on GitHub (MIT).
Is okf-agent-memory free or open source?
Yes, okf-agent-memory is open source on GitHub (MIT).
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