cachly-dev/cachly-mcp
by Various
AI memory brain for Claude Code, Cursor, Copilot & Windsurf — 51 MCP tools. Persistent sessions, lessons learned, semantic search, Team Brain, managed Valkey/Redis. Free tier.
MCP
cachly-dev/cachly-mcp
Added 1 June 2026
Overview
Cachly MCP provides 51 MCP tools that give Claude Code, Cursor, Copilot, and Windsurf persistent memory across sessions. It stores lessons learned and enables semantic search, with a Team Brain feature and managed Valkey/Redis backend. A free tier is available.
Best for
Best for
Developers using multiple AI coding assistants who need persistent, shareable memory across sessions.
Use cases
- Maintain context and learned patterns across multiple AI coding sessions
- Share project knowledge among team members via Team Brain
- Retrieve past solutions or decisions using semantic search
Notes
Cachly MCP provides 51 MCP tools that give Claude Code, Cursor, Copilot, and Windsurf persistent memory across sessions. It stores lessons learned and enables semantic search, with a Team Brain feature and managed Valkey/Redis backend. A free tier is available.
1 stars on GitHub. Last updated 2026-05-30. Licensed Apache-2.0.
Use cases
- Maintain context and learned patterns across multiple AI coding sessions
- Share project knowledge among team members via Team Brain
- Retrieve past solutions or decisions using semantic search
Pros
- Large toolset (51 MCP tools) for flexible memory management
- Supports multiple popular AI coding assistants
- Free tier lowers barrier to entry
Cons
- Low community adoption (1 star on GitHub)
- Dependency on managed Valkey/Redis may add operational complexity
- Limited documentation or community support due to early stage
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Large toolset (51 MCP tools) for flexible memory management
- Supports multiple popular AI coding assistants
- Free tier lowers barrier to entry
Cons
- Low community adoption (1 star on GitHub)
- Dependency on managed Valkey/Redis may add operational complexity
- Limited documentation or community support due to early stage
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
Claude Code
Anthropic
Anthropic's terminal-native coding agent. Reads your repo, edits files, runs tests, ships PRs.
Cursor
Anysphere
The AI-first code editor. Tab to autocomplete, Composer to multi-file refactor, Agents for the long-running stuff.
vectorize-io/hindsight
Various
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upstash/context7
Various
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
topoteretes/cognee
Various
Memory platform for AI Agents in 6 lines of code