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TeamMemory

Team experience database - let AI accumulate, retrieve and apply team knowledge across chats.

Connector by ysydhc · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)★ 1
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Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/ysydhc-team-memory

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Team experience database - let AI accumulate, retrieve and apply team knowledge across chats.

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
3 read · 5 write · 0 delete · 1 not yet classified
Secrets
1 (API keys, tokens or passwords)
Install scripts
Not scanned yet
Runs as
Python package

Tools by what they do 9

Read from the source code; the running server may list different tools.

Read 3 · Look things up without changing anything.

  • memory_context
  • memory_get_archive
  • memory_recall

Write 5 · Create, change, send or run things.

  • memory_archive_upsert
  • memory_draft_publish
  • memory_draft_save
  • memory_save
  • memory_submit_response

Not yet classified 1 · We could not tell from the name and description.

  • memory_feedback

Secrets and settings it asks for

Secrets: values you paste in that let it act as you.

  • DATABASE_URL

Other settings (environment variables or headers).

  • TEAM_MEMORY_CONFIG

Files it touches

  • Any path the agent passes to its tools

Tools (9)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • memory_archive_upsert

    Create or update an archive (title + project dedup), same contract as POST /api/v1/archives. Use for L0/L1/L2 text fields only; large files via HTTP POST /api/v1/archives/{archive_id}/attachments/upload or python -m team_memory.cli upload (after you have archive_id). Does not embed file bytes.

  • memory_context

    Get your profile and relevant team knowledge for current work. Call this when: starting a new task or conversation; switching to a different part of the codebase; wanting to understand team conventions for a file or module.

  • memory_draft_publish

    Pipeline-only: promote a draft to published. Only works on experiences with source='pipeline' and exp_status='draft'.

  • memory_draft_save

    Pipeline-only: save a draft memory. source is always 'pipeline', exp_status is always 'draft'.

  • memory_feedback

    Rate a knowledge result after using it (1=not helpful, 5=very helpful). Call this when a memory_recall result helped you solve a problem.

  • memory_get_archive

    Load full archive body (L2) by id: solution_doc, overview, conversation_summary, attachments (with content_snapshot), document_tree_nodes. Use when memory_recall returned type=archive.

  • memory_recall

    Search team knowledge base before solving problems. Call this BEFORE you: debug an error or exception; implement a feature in an unfamiliar area; make a design or architecture decision; work with code you haven't seen before. Provide 'problem' for focused solutions, 'query' for exploratory search, or just 'file_path' for context-based suggestions. With include_archives=True, results may include type=archive (previews only); call memory_get_archive(archive_id) for full L2 text.

  • memory_save

    Save valuable knowledge: solutions, decisions, patterns, pitfalls. Call this when you: fix an unexpected error (title=error summary, problem=what failed, solution=what fixed it); choose between alternatives (title=decision, problem=context, solution=chosen option + why); receive user correction on your approach (title=feedback, problem=what you did wrong, solution=correct approach); learn access info like credentials or config (title=reference, problem=what you needed, solution=how to access it). Use scope='personal' for preferences, 'project' for team knowledge. For session archiving, use the…

  • memory_submit_response

    Submit your response text after using memory_recall results. This enables faithfulness evaluation — measuring whether your response was based on the retrieved knowledge. Call this AFTER you've used memory_recall results to answer a question.

Signals

Stars
1
Forks
0
Open issues
0
Weekly downloads
25
Last commit
Jun 18, 2026 (4 months ago)
Last release
Feb 26, 2026 (8 months ago)
Last package publish
Apr 13, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.ysydhc/team-memory
Version
0.1.2
Auth
API key
Packages
pypi team_memory
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Cite this page

TeamMemory MCP server. Agent Mart. https://agentmart.dev/connectors/ysydhc-team-memory (last updated 2026-10-24)