$ loading_
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 LLM agents persistent memory with hybrid search and project-scoped context.
Give LLMs persistent local memory and semantic recall across sessions.
Provide persistent shared memory, entity extraction, and hybrid search for AI tools.
Give AI agents persistent graph memory, semantic search, and safety protections.
Lets AI retain conversation memory for more consistent long-term collaboration.
Give AI agents persistent local memory with searchable long-term context.