AgentIndex icon
AgentIndex
rekal logo
rekal
★ 53
vs
synaptic-memory logo
synaptic-memory
★ 33

rekal vs synaptic-memory

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.; synaptic-memory: Synaptic Memory is a knowledge graph and MCP tool server for LLM agents. It automatically ingests data from various formats into a structured graph, then provides 29 atomic tools for agents to explore. No LLM cost at indexing time.

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 →
synaptic-memory logo
synaptic-memoryRAG / Knowledge Base · ★ 33

Searching and reasoning over unstructured text corpora

Read synaptic-memory full review →
02

Side-by-Side Comparison

Field
rekal logorekal
synaptic-memory logosynaptic-memory
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 53
★ 33
License
MIT
MIT
Install Command
pip install rekal
pip install synaptic-memory
Updated
1mo ago
3mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
llm, mcp, mcp-server
ai-agent, embedding, graph-database
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
synaptic-memory logosynaptic-memory
01Auto-detects file format and generates domain profile
02Ingests text and structured data into knowledge graph
0329 atomic MCP tools for LLM agents
04Zero LLM cost at indexing
05Hybrid retrieval with BM25 + vector + graph reranking
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
synaptic-memory logosynaptic-memory
↳Searching and reasoning over unstructured text corpora
↳Cross-document question answering
↳Absence proofs and paraphrased queries
FAQ

FAQ

What is the difference between rekal and synaptic-memory?
Both rekal and synaptic-memory are in the RAG / Knowledge Base category. rekal has 53 stars, while synaptic-memory has 33 stars.
Which is better, rekal or synaptic-memory?
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 synaptic-memory if Searching and reasoning over unstructured text corpora.
Is rekal free or open source?
Yes, rekal is open source on GitHub (MIT).
Is synaptic-memory free or open source?
Yes, synaptic-memory is open source on GitHub (MIT).
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Related

Alternatives to rekal →Alternatives to synaptic-memory →rekal details →synaptic-memory details →