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Memori
For AI engineers: Memori builds structured long-term memory from agent execution so you reduce inference costs by 95% Memori keeps the workflow clear so you ship outcomes with less busywork.
Built by Jay Yao
Artificial Intelligence Developer Tools Open Source Freemium
Visit website → Upvotes · 154
In category: #1194 of 2811 · Artificial Intelligence
Memori is a Product Hunt listing on Launch Llama with 154 total upvotes, founded by Jay Yao who joined in Jun 2026, compared against 6 alternatives.
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154upvotes
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Jay Yao (Joined Jun 2026)
Founder
Compared against 6 alternatives
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Key Features
- Capture and classify chat turns into facts, preferences, rules, and summaries
- Retrieve relevant context across conversations and documents
- Enrich semantic searches with context to improve accuracy
- Provide explainable results with clear lineage and source attribution
- Store memories instantly with no additional setup required
- Track memory creation, recall usage, and cache performance metrics
About
Memori launched its new agent-native memory infrastructure, enabling agents to create structured, long-term memory directly from agent trace — including execution paths, tool results, workflow steps, outcomes, and decision-making logic. This allows memory to also be generated from what an agent actually does. Benchmark results: 81.95% accuracy on LoCoMo using only 1,294 tokens per query, roughly 5% of full-context cost, saving users 95%+ on inference spend. 15K GitHub stars, 200000+ downloads
Use Cases
- AI agent developers building production systems needing persistent memory across conversations
- Teams reducing LLM inference costs while maintaining agent accuracy
- Developers integrating memory with robotics requiring personalized experiences
Pricing
Free and open-source self-hosted option available. Cloud Free plan at $0/month with 5,000 memories created and 15,000 recalled. Production plans start at $60K/year for Team tier and $150K/year for Business tier.
Founder Guides
Alternatives
- MemoFS Cloud
For AI teams: MemoFS Cloud syncs agent memory across machines and CI/CD so your team accesses shared context and queries what agents remember via HTTPS.
- Agentmemory
For developers: Agentmemory gives Claude Code and coding agents searchable persistent memory, reducing token usage by 92% while keeping 100% of observations accessible.
- Maximem Synap
The fastest, most accurate memory layer for AI agents
- agentFast
For AI teams: agentFast provides memory, tools, and observability so you deploy production agents without rebuilding infrastructure each time.
- Universal Memory Tool
For AI developers: Universal Memory Tool compresses chats and documents into searchable memory for your AI assistant so it recalls context without replaying entire histories.
- ContextPool
For AI coding teams: ContextPool gives your agent persistent memory by extracting bugs, fixes, and design decisions from past sessions and loading relevant context automatically.
Ask AI
ChatGPT Claude Perplexity Grok
For agents
llms.txt · llms-full.txt · ai.txt · Live fact sheet · Full catalog (.md) · Endpoint index · API spec · REST access · Agent server · Server manifest · Server discovery