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Give AI coding agents verified continuity memory across sessions and tasks.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "threadline-core" yet — see the docs or source repo.
Use threadline-core to read the project's continuity memory, summarize confirmed technical decisions, open loops, and current session state, then suggest the most reasonable next development steps.
A summary of the known project state, pending items, and an actionable development plan to continue work.
Write the key decisions from this refactor into threadline-core, including why modules were split, chosen interface conventions, unresolved risks, and what should be checked first next time.
A structured memory entry that clearly stores rationale, risks, and follow-up actions.
Do not replay the chat history. Use threadline-core to fetch the verified project state and tell me what is complete, what blockers remain, and which files should be edited next.
A verified status update with blockers and file-level recommendations for the next actions.
Provide local or team-shared memory for AI coding agents and workflows.
Give AI coding agents persistent semantic memory with embedding-based retrieval.
Coordinate AI coding agents with identities, inboxes, thread search, and file leases.
Give AI coding assistants persistent memory, project tracking, and structured handoffs.
Add governed cross-agent memory with retrieval and sync for coding agents.
Persistent memory for coding agents across sessions