AgentIndex icon
AgentIndex
engram-memory logo
engram-memory
★ 38
vs
Acontext logo
Acontext
★ 3.7k

engram-memory vs Acontext

engram-memory: Engram Memory provides AI agents with persistent, self-hosted memory, eliminating session-end forgetfulness and API costs. It features a three-tiered recall engine for efficient storage, search, and retrieval of semantic embeddings on your own hardware.; Acontext: Acontext is a Context Data Platform designed to help build scalable cloud-native AI agents by managing context storage, retrieval, and state. It solves common problems like inefficient LLM message storage, complex long-running agent management, and lack of agent observability and learning capabilities.

01

TL;DR

engram-memory logo
engram-memoryMemory & Context · ★ 38

Providing long-term memory for AI agents (e.g., Claude Code, Cursor) to remember codebase details, user preferences, and architectural decisions across sessions.

Read engram-memory full review →
Acontext logo
AcontextMemory & Context · ★ 3.7k

Building scalable and robust cloud-native AI agents for large user bases.

Read Acontext full review →
02

Side-by-Side Comparison

Field
engram-memory logoengram-memory
Acontext logoAcontext
Category
Memory & Context
Memory & Context
Stars
★ 38
★ 3.7k
License
NOASSERTION
Apache-2.0
Install Command
docker run -d --name engram-memory --restart unless-stopped -p 6333:6333 -p 11435:11435 -p 8585:8585 -v engram_data:/data engrammemory/engram-memory:latest
pip install acontext
Updated
4mo ago
3mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agent Memory, Self-hosted, Vector Database
AI Agents, Context Management, Data Platform
03

Features

engram-memory logoengram-memory
01Three-tiered recall engine (Hot-Tier Cache, Multi-Head Hash Index, Hybrid Vector Search) for fast and efficient memory retrieval.
02Persistent memory management with semantic embedding (store, search, recall, forget, consolidate) for AI agents.
03Local-first operation with self-hosted components (Qdrant, FastEmbed, MCP server) for data privacy and zero API costs.
04Kuzu-backed entity graph for tracking entities, co-retrieval patterns, and spreading activation.
05Advanced memory capabilities including conflict detection, temporal queries, and an "answer from memory" function.
06Hive Memory for multi-device sharing, enabling shared memory pools across different agents and devices.
Acontext logoAcontext
01Unified multi-modal message storage
02Artifact management with file paths
03Context window editing API
04Real-time agent task observation
05Agent self-learning for Standard Operating Procedures (SOPs)
04

Use Cases

engram-memory logoengram-memory
↳Providing long-term memory for AI agents (e.g., Claude Code, Cursor) to remember codebase details, user preferences, and architectural decisions across sessions.
↳Enabling multi-agent systems to share a common knowledge base and collaborate effectively through shared memory pools (Hive Memory).
↳Answering complex questions by synthesizing information from an agent's stored memories, both locally and optionally with cloud enhancement.
↳Auditing an agent's knowledge at specific points in time or over date ranges using temporal queries for incident analysis or historical context.
↳Storing and retrieving user preferences, facts, decisions, goals, and insights efficiently and semantically for personalized agent interactions.
Acontext logoAcontext
↳Building scalable and robust cloud-native AI agents for large user bases.
↳Managing and observing long-running, stateful AI agents with built-in context engineering.
↳Enabling AI agents to self-learn and adapt, improving consistency and success rates.
05

Best For

engram-memory logoengram-memory
—
Acontext logoAcontext
Essential
FAQ

FAQ

What is the difference between engram-memory and Acontext?
Both engram-memory and Acontext are in the Memory & Context category. engram-memory has 38 stars, while Acontext has 3.7k stars.
Which is better, engram-memory or Acontext?
The best choice depends on your use case. Choose engram-memory if Providing long-term memory for AI agents (e.g., Claude Code, Cursor) to remember codebase details, user preferences, and architectural decisions across sessions., and Acontext if Building scalable and robust cloud-native AI agents for large user bases..
Is engram-memory free or open source?
Yes, engram-memory is open source on GitHub (NOASSERTION).
Is Acontext free or open source?
Yes, Acontext is open source on GitHub (Apache-2.0).
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Related

Alternatives to engram-memory →Alternatives to Acontext →engram-memory details →Acontext details →