AgentIndex icon
AgentIndex
rekal logo
rekal
★ 53
vs
post-cortex logo
post-cortex
★ 20

rekal vs post-cortex

rekal: rekal provides long-term memory for LLMs via an MCP server. It stores memories in a local SQLite file and retrieves them using hybrid search (BM25 keywords + vector semantics + recency decay). It works with any MCP-capable agent like Claude Code, Codex CLI, and OpenCode.; post-cortex: Post-Cortex is an MCP server that provides AI assistants with persistent memory. It stores conversations, decisions, and insights in a searchable knowledge base with automatic entity extraction. All processing runs locally with no external API calls, ensuring privacy.

01

TL;DR

rekal logo
rekalRAG / Knowledge Base · ★ 53

Persistent memory for coding agents across sessions to remember user preferences and decisions

Read rekal full review →
post-cortex logo
post-cortexRAG / Knowledge Base · ★ 20

AI assistants with long-term memory across conversations

Read post-cortex full review →
02

Side-by-Side Comparison

Field
rekal logorekal
post-cortex logopost-cortex
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 53
★ 20
License
MIT
MIT
Install Command
pip install rekal
cargo install post-cortex-daemon --features "embeddings,surrealdb-storage"
Updated
1mo ago
3d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
llm, mcp, mcp-server
ai, ai-memory, graph-rag
03

Features

rekal logorekal
01Local SQLite storage, no cloud or API keys
02Hybrid search combining BM25 keywords, vector semantics, and recency decay
03MCP server compatible with various coding agents
04Comprehensive tool-based memory management (store, search, update, delete, prune)
05Smart write operations with supersede and linking for knowledge evolution
post-cortex logopost-cortex
01Persistent memory across sessions
02Semantic search with multilingual embedding
03Graph-RAG for enriched search results
04Knowledge graph with typed entities and relations
05Non-blocking writes with low latency
04

Use Cases

rekal logorekal
↳Persistent memory for coding agents across sessions to remember user preferences and decisions
↳Storing project-specific knowledge and conventions without external services
↳Maintaining a searchable history of agent interactions and decisions
post-cortex logopost-cortex
↳AI assistants with long-term memory across conversations
↳Knowledge management and retrieval for multi-session projects
↳Privacy-first local memory for AI tools
FAQ

FAQ

What is the difference between rekal and post-cortex?
Both rekal and post-cortex are in the RAG / Knowledge Base category. rekal has 53 stars, while post-cortex has 20 stars.
Which is better, rekal or post-cortex?
The best choice depends on your use case. Choose rekal if Persistent memory for coding agents across sessions to remember user preferences and decisions, and post-cortex if AI assistants with long-term memory across conversations.
Is rekal free or open source?
Yes, rekal is open source on GitHub (MIT).
Is post-cortex free or open source?
Yes, post-cortex is open source on GitHub (MIT).
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