Give AI agents persistent memory with semantic and keyword search across projects.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "OpenChronicle" yet — see the docs or source repo.
Write the following into OpenChronicle under the project namespace "alpha-app": the product goal is to improve user retention; core users are small and midsize teams; next week we need to validate the onboarding flow.
The tool confirms a successful write and stores structured project memory for later retrieval.
Search OpenChronicle within the "alpha-app" project for historical memory related to "user retention" and "onboarding", prioritizing the most semantically relevant results and including keyword matches.
Returns memory entries ranked by relevance so the agent can quickly recover project context.
Design an integration plan using OpenChronicle: a customer support agent in development needs to read and write long-term memory through MCP or REST, while isolating data by project for different clients.
Provides an integration flow, data-isolation recommendations, and example calls for reading and writing memory.
Give AI assistants persistent memory for preferences, context, and decisions.
Provide persistent shared memory, entity extraction, and hybrid search for AI tools.
Give AI agents persistent memory, semantic search, and cross-session knowledge connections.
Give AI agents persistent project memory with searchable code and decisions.
Free persistent memory for AI agents with storage and semantic search.
Provide local-first persistent memory for AI agents across projects.