M
MemMA
Multi-agent memory framework with self-evolution for LLM agents
Open SourceFree
About
Research framework that enhances LLM agent memory through multi-agent coordination and in-situ self-evolution. Tackles strategic blindness in memory systems by implementing explicit reasoning chains and feedback loops for both memory construction and retrieval. Designed for researchers and developers building sophisticated agent systems that require robust long-term memory management.
Details
| Type | |
| Integrations | |
| Language |
Tags
memorymulti-agentframeworkopen-sourceautonomousrag
Quick Info
- Organization
- Independent Researchers
- Pricing
- open-source
- Free Tier
- Yes
- Updated
- Mar 20, 2026
Also in Dev Tools
C
Crawl4AI
Open-source web crawler optimized for LLMs and AI agents — 62K+ stars
OSSFree
unclecode
63.1Ktoday72
F
Firecrawl
Web scraping API built for LLMs — turn any website into LLM-ready data — 89K+ stars
OSSfreemium
Mendable
102.1Ktoday138
H
Headroom Context Optimization
Reduce LLM API costs by 50-90% through advanced context compression
OSSFree
Shubham Saboo
104.2Ktoday74