AgentIndex icon
AgentIndex
ToolsMCP ServersHOTCategoriesTrendingNewBest ListsCompareGuides
Submit Tool
ToolsMCP ServersHOTCategoriesTrendingNewBest ListsCompare
Home/
Memory & Context/
borhan
borhan logo

borhan

Active·★ 39·MIT·Updated 2026-09-19

Borhan provides a robust long-term memory solution for AI agents, enabling them to store important information and retrieve it months later through a powerful, structured query language. Unlike simple grep or vector databases, it offers advanced matching, ranking, and multilingual capabilities for thousands of memories, helping agents learn and recall complex concepts.

#AI Agents#Long-term Memory#Search Engine#Knowledge Base#Text Retrieval#Query Language
© 2026 AgentIndex.app|Built by a 10-year iOS Developer.
Best by use caseAboutContactAdvertisePrivacy PolicyTerms of UseQYSGitHubBuy me a coffee ☕

Browse by Category

MCP ServersCode AssistantWorkflow AutomationRAG / Knowledge BaseMulti-AgentBrowser AutomationLLM InfraDev ToolingObservability

Not affiliated with Anthropic, OpenAI or Microsoft.

Guides
#Multilingual Support
$ Install
$ curl -fsSL https://raw.githubusercontent.com/pouriya/borhan/master/install.sh | sh
↗ Visit site★ GitHub
01

Features

01Agent-driven content storage and search query generation
02Structured memory organization (notes, sessions, messages) with descriptions
03Advanced, multilingual text matching with normalization and linguistic flexibility
04Intelligent ranking of search results based on idea coverage, proximity, and recency
05Flexible, powerful query language supporting complex ideas and boolean logic
02

Compatibility

Linux
Operating System
Verified via docs
macOS
Operating System
Verified via docs
Windows
Operating System
Verified via docs
Docker
Containerization
Verified via docs
HTTP REST API
Interface
Verified via docs
MCP
Protocol
Verified via docs
03

Quick start

1
$ curl -fsSL https://raw.githubusercontent.com/pouriya/borhan/master/install.sh | sh
04

Use cases

↳Provide long-term memory for AI agents to retain critical information and past insights across conversations.
↳Store operational knowledge such as project decisions, code explanations, and debugging paths for future agent reference.
↳Integrate as a memory and knowledge retrieval tool for existing AI agents via MCP protocol or REST API.
↳Establish a shared knowledge base for collaborative AI agent environments across multiple users or machines.
05

Alternatives

⚡Top VS:
VSenquire-mcp★34→VSinfimium-agent★25→VSCo-Engram★11→

Comments

Log in to leave a comment

No comments yet. Be the first!

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
VS
okf-agent-memory
★830
→
enquire-mcp logo
enquire-mcp★ 34
The most advanced Obsidian MCP — long-term memory for AI agents. Hybrid retrieval (BM25 + ML + BGE rerank, RRF-fused), HNSW live-update, agentic RAG (HyDE + sub-question), Obsidian Bases, PDFs+OCR. For Claude Code/Desktop, Cursor, ChatGPT, Codex, OpenClaw. MCP-native, MIT, SLSA L2.
VSCompare→
infimium-agent logo
infimium-agent★ 25
Infimium helps agents find the right code, docs, and dependencies — before they edit. Local-first, open-source, MCP-compatible.
VSCompare→
Co-Engram logo
Co-Engram★ 11
Self-evolving team memory
VSCompare→
okf-agent-memory logo
okf-agent-memory★ 830
Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.
VSCompare→
mori logo
mori★ 32
mori MCP server — A shared memory layer for AI coding agents — one that compounds.
VSCompare→
agents-remember logo
agents-remember★ 31
`Agents Remember` is a Drift-aware repository memory for coding agents in complex codebases. Captures what code can't say on its own! Retrieves memory by path, semantic search, and relationship (code-graph).
VSCompare→
fava-trails logo
fava-trails★ 26
🫛👣 FAVA Trails — Git-native, curated memory for AI agents via MCP. Draft isolation, promotion gate, thought lifecycle hooks, memory curation protocols, supersession chains.
VSCompare→
hippo-memory logo
hippo-memory★ 784
Biologically-inspired memory for AI agents. Decay, retrieval strengthening, consolidation. Zero runtime deps, SQLite, MCP. Benchmarked retrieval with an opt-in hosted TypeSafe Jev reranker.
VSCompare→
See all alternatives →
pouriya /
borhan
↗

Save conversations, search by idea, read the surrounding context. Memory for AI agents.

39MIT
Last commit1mo ago
StatusActive
CategoryMemory & Context
Links
Documentation↗Discussion↗Issues↗Releases↗
Cloud Infrastructure
Ad

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

Claim $200 Free Credit