MCP Servers · Memory
redleaves/context-keeper
🧠 LLM-Driven Intelligent Memory & Context Management System (AI记忆管理与智能上下文感知平台) AI记忆管理平台 | 智能上下文感知 | RAG检索增强生成 | 向量检索引擎
Our verdict
We have not reviewed redleaves/context-keeper yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About redleaves/context-keeper
redleaves/context-keeper is an open-source memory and context management system for LLM-driven applications. It uses retrieval-augmented generation (RAG) and vector search to provide intelligent context awareness and memory capabilities. Written in Go, it helps AI agents retain and retrieve relevant information across sessions.
Best for
Developers building Go-based AI applications that require persistent memory and context management
Use cases
- Manage long-term memory for AI chatbots and virtual assistants
- Retrieve relevant context from vector stores to ground LLM responses
- Build persistent, context-aware AI agents in Go-based projects
Notes
148 stars on GitHub. Last updated 2026-01-13. Licensed MIT.
Pros
- Open source with a permissive license
- Lightweight and efficient due to Go implementation
- Integrates RAG and vector search out of the box
Cons
- Limited community and documentation due to low star count
- Primarily useful only for Go-based projects
- Not yet battle-tested in large-scale production environments
Key facts
What we have checked
Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.
How to use
How to set it up
As the listing publishes it. We have not run this install.
Tools exposed
session_managementretrieve_contextstore_conversationassociate_file
Clients the listing names (not checked here)
Cursor, VS Code, ChatGPT
Install
Add redleaves/context-keeper to your client
No install recipe yet. We write one for Claude Code, Claude Desktop, Cursor, VS Code, Codex and ChatGPT when the server is in the official MCP registry with a package or remote address we can use.
Until then, follow the project's own README, or the setup the listing publishes under How to set it up.
Works with
What redleaves/context-keeper connects to
No confirmed connections yet. A product appears here when the server's registry name, repo, homepage or name ties it to that product, and a client appears when we have an install recipe for it.
Health and security
Is redleaves/context-keeper looked after, and what do its setup files show
Security check static checks
100 out of 100
- Note No published npm or PyPI package of this repository was found, so package advisories were not checked.
- Note The lab has not recorded this server's tool list yet, so tool permissions were not checked.
Alternatives
Alternatives to redleaves/context-keeper
| Record | Type | How we know | Checked |
|---|---|---|---|
| topoteretes/cogneeThis is an alternative to it | MCP server | Named in the listing | Not dated |
| upstash/context7This is an alternative to it | MCP server | Named in the listing | Not dated |
| vectorize-io/hindsightThis is an alternative to it | MCP server | Named in the listing | Not dated |
Compare
Compare redleaves/context-keeper side by side
Sources
Where this comes from
No sources recorded yet. Each source we check is listed here with the date we checked it.
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
topoteretes/cognee
Various
Memory platform for AI Agents in 6 lines of code
upstash/context7
Various
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
vectorize-io/hindsight
Various
Hindsight: Agent Memory That Learns
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