Agent Shadow Brain
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
What you can do
Workflow | What you can inspect or change |
Review project memory | Search saved decisions and lessons, inspect recorded sources, and record reviews or typed relationships in the memory graph. |
Build task context | Assemble a project-scoped pack within a size budget. See why each memory was included or skipped before handing the pack to an agent. |
Follow live operations | Inspect measured MCP calls, explicitly reported task phases, and the event timeline. Pause updates or reduce motion. |
Give agents focused workflows | Install six project skills for workflow selection, implementation, debugging, review, research, and release. |
Check integrations | See supported client capabilities, project skill-file presence, storage health, and a copyable diagnostic report. |
The workspace connects these views. Open a memory from a context pack or graph edge to see the saved content, its recorded references, and the review history. You can control context assembly, cross-project context, session briefings, live updates, and activity recording separately. Screenshot gallery · Workspace guide

Related MCP server: junto-memory
Quickstart
Use Node.js 22.12 or later in the 22.x line, 24.x, or 26 and later. Run the dashboard command from your project directory.
npm install -g @theihtisham/agent-shadow-brain@7.1.3
shadow-brain --version
shadow-brain dash . --no-analysisThe dashboard prints its local address. Open Memories to inspect saved records, Context to assemble a pack, or Live to follow recorded activity. The CLI also assembles a pack from the current project.
shadow-brain context-pack "import retry behavior" --project . --token-budget 1200 --jsonPin 7.1.3 for this release because npm’s latest tag and semantic version order can differ. The quickstart also includes the verified GitHub tarball and a first-memory example. Full quickstart
Connect a client
Print the standalone MCP launch configuration, then add it to your client’s MCP settings.
shadow-brain clients configThe launch command is shadow-brain mcp --stdio. It serves memory, context, and workflow tools locally without loading model-provider configuration. Use context_pack for curated project context and activity_report to explicitly record host activity. The live journal keeps the latest 500 events with bounded labels and timings. MCP and activity guide
Client | Skill target | Project skill directory |
Codex |
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Claude Code |
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OpenCode |
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DeepSeek Harness |
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Other compatible clients |
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Preview the skill files and apply the installation for your chosen target.
shadow-brain skills list
shadow-brain skills install . --target codex
shadow-brain skills install . --target codex --applySkill discovery and MCP connections depend on the client’s settings. DeepSeek Harness needs its filesystem skill and MCP client plugins enabled. The dashboard’s Integrations view checks managed project files. Client setup guide
Documentation
Guide | Covers |
Installation, first memory, dashboard, and MCP setup | |
Reviews, relationships, context limits, activity journal, and local API | |
MCP setup and project skill layouts by client | |
Installation layouts, previews, and the six bundled skills | |
Annotated gallery of the workspace and live portal | |
Startup, memory, context, and integration checks | |
Upgrade steps, curation changes, and live operations | |
npm download counts and their reporting window |
Documentation index · Changelog · Report an issue
Package details
Item | 7.1.3 release |
Package | |
CLI |
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Interfaces | Local web workspace, CLI, MCP stdio, and JavaScript/TypeScript library |
Node.js |
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Tarball | 3,443,588 bytes packed, about 8.7 MB unpacked, 729 files |
License |
Verified tarball · Package verification report
Maintainers
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Maintenance
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