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Search local commitments and collaboration knowledge to track facts, people, and open tasks.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "workbeast" yet — see the docs or source repo.
Search the local commitment ledger for product launch commitments from the last two weeks that are still open, and organize them by owner, due date, and evidence source.
A list of open commitments with owners, timing details, and evidence from email, calendar, or meeting transcripts.
Using the local knowledge base, summarize the key topics, responsibilities, and related commitments involving Wang Min over the past month across email, calendar, and meeting transcripts.
A fact summary for that person, plus linked commitments and their evidence sources.
Review still-open customer feedback follow-up items in the local commitment ledger, and based on existing evidence suggest which can be closed and which still lack proof.
A categorized recommendation of closable vs. not-yet-closable items, with supporting evidence or missing-proof notes.
Product managers or office workers can use it after meetings to search commitments captured in transcripts, email, and calendars and quickly find unfinished items. This reduces manual record checking and makes ownership and progress easier to track.
When a team needs to confirm a fact, a person's involvement, or communication history, they can search the local knowledge base in natural language. It is suited to summarizing relevant information from email, calendar, and meeting content.
For open commitments that have been in progress for some time, the tool can recommend closure based on existing records and cite evidence. This fits collaborative workflows that need clearer status tracking and fewer missed follow-ups.
It enables LLMs to query a local commitment ledger and a knowledge base extracted from email, calendar, and meeting transcripts. Users can search for facts, people, and open commitments in natural language and get evidence-based closure suggestions.
Based on the description, it uses a local commitment ledger and knowledge extracted from email, calendar, and meeting transcripts. For data structure or ingestion details, see the source repository.
The provided information only says it suggests closures with evidence. Whether it can automatically perform closure actions is not specified; see the source repository.
Track work privately while generating summaries, reports, and AI-ready long-term memory.
Query team workload, overdue items, and activity using natural language.
Let AI access Bear notes for search and relationship analysis.
Securely search and summarize workplace content across documents and collaboration tools.
Connect to Jamie AI to review meetings, transcripts, summaries, and tasks.
Lets AI assistants search and create TeamBoard tasks via HTTP API.