AgentIndex icon
AgentIndex
AgentRecall logo
AgentRecall
★ 371
vs
remindb logo
remindb
★ 129

AgentRecall vs remindb

AgentRecall: AgentRecall is a learning system that bridges the gap between human thinking and AI agent behavior. It provides persistent, compounding memory with automatic correction capture via MCP server, SDK, and CLI. Every mistake is recorded once and never repeated, and token savings compound over sessions.; remindb: remindb stores agentic memory in a single SQLite file. It parses notes into a structured tree with temperature tracking, enables efficient retrieval via FTS5 search, and supports versioning and summarization. This reduces token costs compared to re-reading raw files every session.

01

TL;DR

AgentRecall logo
AgentRecallMemory & Context · ★ 371

Scattered human: structurize non-linear instructions across sessions

Read AgentRecall full review →
remindb logo
remindbMemory & Context · ★ 129

Prevent coding agents from re-reading the same notes every session

Read remindb full review →
02

Side-by-Side Comparison

Field
AgentRecall logoAgentRecall
remindb logoremindb
Category
Memory & Context
Memory & Context
Stars
★ 371
★ 129
License
MIT
MIT
Install Command
npm install -g agent-recall-cli
curl -fsSL https://raw.githubusercontent.com/radimsem/remindb/main/install.sh | bash
Updated
1w ago
2mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-memory, ai-agents, claude-code
agent-memory, ai-agents, ast
03

Features

AgentRecall logoAgentRecall
01Persistent, compounding memory with 200-line awareness cap
02Automatic correction capture and recall
03Cross-project insight recall via keyword matching
04MCP, SDK, and CLI for universal compatibility
05Zero cloud, all local markdown storage
remindb logoremindb
01Structured memory tree with typed nodes (heading, list, code, etc.)
02Temperature mechanism that tracks node usage and promotes hot content
03Automatic summarization of cold nodes via agent-driven compaction
04Git-style versioning with per-node diffs and snapshot cursors
05Full-text search (FTS5) with token budget control
04

Use Cases

AgentRecall logoAgentRecall
↳Scattered human: structurize non-linear instructions across sessions
↳Cross-project lesson transfer: rate limiting insight from Project A to Project B
↳Correction that sticks: agent never repeats a correction again
remindb logoremindb
↳Prevent coding agents from re-reading the same notes every session
↳Maintain persistent, cross-session memory for MCP-capable agents
↳Share memory between different agents or devices via a portable .db file
FAQ

FAQ

What is the difference between AgentRecall and remindb?
Both AgentRecall and remindb are in the Memory & Context category. AgentRecall has 371 stars, while remindb has 129 stars.
Which is better, AgentRecall or remindb?
The best choice depends on your use case. Choose AgentRecall if Scattered human: structurize non-linear instructions across sessions, and remindb if Prevent coding agents from re-reading the same notes every session.
Is AgentRecall free or open source?
Yes, AgentRecall is open source on GitHub (MIT).
Is remindb free or open source?
Yes, remindb is open source on GitHub (MIT).
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Related

Alternatives to AgentRecall →Alternatives to remindb →AgentRecall details →remindb details →