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Record agent decisions and rationales for traceable recall and better memory.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.xfloukiex-lab/toki-toki" MCP server from askskill: Run: claude mcp add 'io-github-xfloukiex-lab-toki-toki' -- uvx toki-toki-mcp
Please record the key decisions from this task, the reasons behind them, relevant constraints, and follow-up items in the causality ledger for later retrieval.
A structured ledger entry containing the decision, rationale, constraints, and follow-up items.
Look up the last ledger entry where this option was chosen and summarize the rationale, alternatives considered, and trade-off behind the final decision.
A summary of the historical decision context explaining why that option was chosen.
During this multi-step task, after each step record the current conclusion, supporting evidence, unresolved questions, and next action to build a continuous causal chain.
A chronological chain of records that supports handoff, auditing, or context recovery later.
Give AI agents local-first memory storage and hybrid retrieval in one SQLite file.
Provide reasoning, memory, and token-efficient context for AI applications.
Let AI agents search, read, and update a self-hosted Markdown team wiki.
Store, recall, and search structured memories for autonomous AI agents.
Analyze local-first AI agent CLI usage patterns and invocation data.
Provide Git-native project memory for AI coding agents with safe, reviewable context.