CATEGORY INTELLIGENCE / WORLDWIDE
Agent memory
Persistent context for agents that learn over time.
Red ocean · Measured classification
Cooling recently, still above last year
The recent search pullback coexists with a higher level than last year. Compare concrete use cases; neither window measures customer demand.
Report dated · Method 1.2.0 · moderate evidence confidence
- 844 active projects match the published GitHub search scope.
- The keyword “ai agent memory” has 88 complete weeks; 1% are reported as zero.
- Matching active GitHub projects
- 844
- Search-interest growth
- -74% · Last 8 complete weeks vs previous 8
- Search term and region
- ai agent memory · Worldwide
- Complete weekly observations
- 88
Why this classification
- Search attention is cooling recently but remains above the same period last year. A pullback is not a long-term decline.
- Median weekly search interest fell 74% across two consecutive eight-week windows.
- 844 matching active repositories; this is search coverage, not a count of direct competitors.
- Four-week search change: -51%; thirteen-week change: -51%. These windows check the direction of the eight-week comparison.
Source evidence
GitHub repository search · topic:agent-memory fork:false archived:false stars:>=5 pushed:>=2026-03-20
Collected 2026-09-16T04:44:56.015Z
Google Trends search interest · Collected 2026-09-16T04:44:56.012Z
Leading repositories
| Repository | Stars | Description |
|---|---|---|
| 666ghj/MiroFish | 73,668 | 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 | 47,763 | 《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 | 40,533 | 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 | 37,598 | Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills. |
| topoteretes/cognee | 30,710 | 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 | 29,683 | 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 | 24,447 | Dolt – Git for Data |
| MemoriLabs/Memori | 16,758 | 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 | 12,987 | 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 matching the displayed GitHub topic and phrase queries; unmatched and closed-source competitors are outside this coverage.
- Repository density and search attention are separate observations. Neither proves commercial competition or demand.
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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