CATEGORY INTELLIGENCE / WORLDWIDE
Agent memory.
Persistent context for agents that learn over time.
Established red ocean
A crowded category without sustained search growth. Enter only with a concrete switching advantage.
Report dated · Method 1.0.2 · high evidence confidence.
- Matching active GitHub projects
- 840
- Search-interest growth
- -74% · last 8 complete weeks versus the previous 8
- Search term and region
- ai agent memory · Worldwide
- Complete weekly observations
- 104
Why this classification
- Median weekly search interest fell 74% across two consecutive eight-week windows.
- 840 matching active repositories; the published dense-supply threshold is 50.
Source evidence
GitHub repository search · Collected 2026-09-15T16:35:44.668Z
topic:agent-memory fork:false archived:false stars:>=5 pushed:>=2026-03-19
Google Trends search interest · Collected 2026-09-15T16:28:32.291Z
Leading repositories
| Repository | Stars | Description |
|---|---|---|
| 666ghj/MiroFish | 73,576 | A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物 |
| bojieli/ai-agent-book | 47,539 | 《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码 |
| pingcap/tidb | 40,530 | TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling. |
| volcengine/OpenViking | 37,452 | Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills. |
| topoteretes/cognee | 30,701 | Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine. |
| supermemoryai/supermemory | 29,679 | Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era. |
| dolthub/dolt | 24,448 | Dolt – Git for Data |
| MemoriLabs/Memori | 16,751 | Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises. |
| NevaMind-AI/memU | 14,410 | Personal memory across agents |
| EverMind-AI/EverOS | 12,978 | One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows. |
Limits of this result
- Google Trends measures relative search attention, not customers, revenue or willingness to pay.
- Supply counts active repositories carrying the selected GitHub topic; unlabeled and closed-source competitors are outside this coverage.
Search interest measures attention, not paying customers. Classification thresholds are published heuristics and still require empirical calibration.
Use and share the evidence
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