AgentIndex icon
AgentIndex
mnemosyne logo
mnemosyne
★ 151
vs
okf-agent-memory logo
okf-agent-memory
★ 827

mnemosyne vs okf-agent-memory

mnemosyne: Mnemosyne provides persistent memory for AI agents, enabling them to carry work forward, recover original evidence, and adapt by retiring obsolete lessons when their source changes. It connects memory to its consequences, allowing agents to resume from handoffs, withhold skills after failures, and benefit from a wiser start.; 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

mnemosyne logo
mnemosyneMemory & Context · ★ 151

Building AI agents that require long-term, verifiable memory for decision-making and learning.

Read mnemosyne 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
mnemosyne logomnemosyne
okf-agent-memory logookf-agent-memory
Category
Memory & Context
Memory & Context
Stars
★ 151
★ 827
License
MIT
MIT
Install Command
git clone --branch v2.0.0-rc.9 --depth 1 https://github.com/28naem-del/mnemosyne.git && cd mnemosyne && npm ci --ignore-scripts && npm run build
git clone https://github.com/okf-memory/okf-agent-memory.git && cd okf-agent-memory && make build
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Persistent Memory, Context Management
AI Agents, Persistent Memory, Knowledge Base
03

Features

mnemosyne logomnemosyne
01Memory with evidence: Private-by-default records, explicit sharing, corrections, conflicts, source history, and dependent retirement.
02Continuity across agents: Structured checkpoints preserve goals, decisions, artifacts, and next actions; source changes can retire obsolete handoffs.
03Adaptive context: Budgeted observations, hierarchical summaries, and expandable original source bytes, with evidence revalidation.
04Recall across words and meaning: Scoped BM25 by default; optional embeddings, hybrid fusion, and reranking over authorized records.
05Evidence-gated skills: Candidate procedures, explicit trial requirements, and retirement after failed or changed evidence.
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

mnemosyne logomnemosyne
↳Building AI agents that require long-term, verifiable memory for decision-making and learning.
↳Enabling agents to resume complex tasks or projects across multiple sessions or handoffs without losing context.
↳Developing AI systems that adapt to new information by invalidating or correcting outdated knowledge based on source changes.
↳Creating self-improving agents where skills are refined or retired based on trial outcomes and evidence.
↳Managing dynamic context for large language models, ensuring relevance and adherence to evidence within token budgets.
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

mnemosyne logomnemosyne
—
okf-agent-memory logookf-agent-memory
Hidden Gem
FAQ

FAQ

What is the difference between mnemosyne and okf-agent-memory?
Both mnemosyne and okf-agent-memory are in the Memory & Context category. mnemosyne has 151 stars, while okf-agent-memory has 827 stars.
Which is better, mnemosyne or okf-agent-memory?
The best choice depends on your use case. Choose mnemosyne if Building AI agents that require long-term, verifiable memory for decision-making and learning., and okf-agent-memory if Software Engineering: Managing architecture decisions, code references, and operational constraints..
Is mnemosyne free or open source?
Yes, mnemosyne 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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Related

Alternatives to mnemosyne →Alternatives to okf-agent-memory →mnemosyne details →okf-agent-memory details →