AgentIndex icon
AgentIndex
rekal logo
rekal
★ 53
vs
mimirs logo
mimirs
★ 30

rekal vs mimirs

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.; mimirs: Mímirs provides persistent project memory for AI coding agents, reducing token consumption and context overhead through local indexing, semantic search, cross-session memory, and dependency graphs. It works with multiple editors and is privacy-preserving with no cloud dependencies. The tool achieves 90-98% recall@10 on real codebases.

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 →
mimirs logo
mimirsRAG / Knowledge Base · ★ 30

Reduce token consumption and latency in AI coding sessions

Read mimirs full review →
02

Side-by-Side Comparison

Field
rekal logorekal
mimirs logomimirs
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 53
★ 30
License
MIT
Apache-2.0
Install Command
pip install rekal
brew install sqlite && bunx mimirs init --ide claude
Updated
1mo ago
4d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
llm, mcp, mcp-server
ai-coding, claude-code, code-search
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
mimirs logomimirs
01Semantic Search with hybrid retrieval (vector + BM25)
02Auto-generated Wiki from indexed code and documentation
03Cross-session Memory with conversation tailing and checkpoints
04Dependency Graphs built from AST import/export analysis
05Annotations attached to files or symbols surfaced in search results
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
mimirs logomimirs
↳Reduce token consumption and latency in AI coding sessions
↳Enable agents to maintain context across multiple sessions
↳Improve code search accuracy with AST-aware chunking and hybrid retrieval
FAQ

FAQ

What is the difference between rekal and mimirs?
Both rekal and mimirs are in the RAG / Knowledge Base category. rekal has 53 stars, while mimirs has 30 stars.
Which is better, rekal or mimirs?
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 mimirs if Reduce token consumption and latency in AI coding sessions.
Is rekal free or open source?
Yes, rekal is open source on GitHub (MIT).
Is mimirs free or open source?
Yes, mimirs is open source on GitHub (Apache-2.0).
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
→

Related

Alternatives to rekal →Alternatives to mimirs →rekal details →mimirs details →