AgentIndex icon
AgentIndex
okf-agent-memory logo
okf-agent-memory
★ 830
vs
enquire-mcp logo
enquire-mcp
★ 34

okf-agent-memory vs enquire-mcp

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.; enquire-mcp: enquire-mcp transforms your Obsidian vault into persistent, queryable long-term memory for various AI agents, eliminating the need to re-explain context in every session. It provides best-in-class hybrid retrieval, including semantic search, reranking, and HNSW, all running locally with zero cloud calls during serving.

01

TL;DR

okf-agent-memory logo
okf-agent-memoryMemory & Context · ★ 830

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

Read okf-agent-memory full review →
enquire-mcp logo
enquire-mcpMemory & Context · ★ 34

Long-term memory for AI agents: Provides durable, semantic recall for agents across sessions, models, and providers, grounded in your Obsidian notes.

Read enquire-mcp full review →
02

Side-by-Side Comparison

Field
okf-agent-memory logookf-agent-memory
enquire-mcp logoenquire-mcp
Category
Memory & Context
Memory & Context
Stars
★ 830
★ 34
License
MIT
MIT
Install Command
git clone https://github.com/okf-memory/okf-agent-memory.git && cd okf-agent-memory && make build
npm install -g @oomkapwn/enquire-mcp
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Persistent Memory, Knowledge Base
AI Agents, Long-term Memory, RAG
03

Features

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.
enquire-mcp logoenquire-mcp
01Vendor-neutral memory: Your memory lives in .md files, ensuring portability across different AI agents and providers.
02Best-in-class hybrid retrieval: Features BM25, multilingual embeddings, BGE cross-encoder reranker, HNSW, and int8 quantization for superior search quality and performance.
03Zero cloud calls during serve: All models are cached locally, and vault content never leaves your machine, ensuring privacy and air-gap safety.
04Freshness-aware recall: Search hits report note age and a `stale` flag, with optional recency-weighted ranking to prioritize fresh knowledge.
05PDFs with OCR & GraphRAG-light: Integrates PDFs (including OCR for scanned docs) into hybrid search and offers GraphRAG-light for wikilink community detection.
04

Use Cases

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.
enquire-mcp logoenquire-mcp
↳Long-term memory for AI agents: Provides durable, semantic recall for agents across sessions, models, and providers, grounded in your Obsidian notes.
↳Personal knowledge base / second brain: Offers hybrid retrieval across 50+ languages, wikilink graph-boost, and GraphRAG-light to surface relevant notes and discover connections.
↳Agentic RAG / context engineering: Exposes per-signal scores, HyDE pre-rewrites, and sub-question decomposition for advanced retrieval, plus a built-in evaluation harness.
05

Best For

okf-agent-memory logookf-agent-memory
Hidden Gem
enquire-mcp logoenquire-mcp
—
FAQ

FAQ

What is the difference between okf-agent-memory and enquire-mcp?
Both okf-agent-memory and enquire-mcp are in the Memory & Context category. okf-agent-memory has 830 stars, while enquire-mcp has 34 stars.
Which is better, okf-agent-memory or enquire-mcp?
The best choice depends on your use case. Choose okf-agent-memory if Software Engineering: Managing architecture decisions, code references, and operational constraints., and enquire-mcp if Long-term memory for AI agents: Provides durable, semantic recall for agents across sessions, models, and providers, grounded in your Obsidian notes..
Is okf-agent-memory free or open source?
Yes, okf-agent-memory is open source on GitHub (MIT).
Is enquire-mcp free or open source?
Yes, enquire-mcp is open source on GitHub (MIT).
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