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Store and recall cross-session context locally with token-efficient compression and ranking.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "context-manager" yet — see the docs or source repo.
Save the key decisions, confirmed constraints, and follow-up tasks from this discussion into context-manager for future sessions.
The tool stores structured project context for low-cost recall in later sessions.
Remember my preferences: lead with the conclusion, use TypeScript for code examples, and avoid overly long explanations; apply these in future relevant tasks.
The tool saves personal preferences and surfaces them to the AI in later relevant tasks.
Recall the most relevant past facts, decisions, and preferences about 'multi-tenant permission design' from context-manager, then give me a concise summary before we continue.
The tool returns a ranked and compressed context summary, reducing repetition and token usage.
Developers or product managers working on the same project across multiple sessions can save facts, decisions, and constraints, then quickly recall them later. This reduces repeated background explanation and improves continuity.
Frequent AI users can save output style, preferred tech stack, or work habits as long-term preferences. In later relevant tasks, the tool helps the AI respond more consistently.
When conversation history grows large, this tool recalls necessary information through relevance ranking and compression instead of re-injecting all context. It fits long-running assistant workflows that need tighter token control.
It is a local-first, cross-session context store for saving facts, decisions, and preferences and recalling them in later sessions. Its goal is to reduce token usage through ranking and compression.
Based on the description, it can save facts, decisions, and preferences. These are later recalled by relevance.
The provided material does not include installation steps, runtime requirements, or key information; see the source repository.
Provide local persistent memory for AI apps to continue context across sessions.
Semantically search local Markdown context and inspect linked context status.
Give AI coding agents persistent local memory across sessions.
Organize local links, files, and bookmarks into retrievable context for AI agents.
Manage LLM context, compact conversations, and retain durable semantic memory.
Give LLMs persistent local memory and semantic recall across sessions.