haki
by @fastdrop
Long-term memory for AI agents: bitemporal fact ledger, contradiction detection, explainability.
Long-term memory for AI agents: bitemporal fact ledger, contradiction detection, explainability. Official MCP Registry: io.github.GetHaki/haki@0.1.0. Remote endpoint: https://api.gethaki.space/mcp/
Problem it solves
Discoverable MCP server listed in the official MCP Registry.
How it's different
Remote MCP endpoint ingested from the official registry and probed by FastDrop.
Ingested from the official MCP Registry
FastDrop pulled this entry from the official MCP Registry as io.github.GetHaki/haki and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed
and the description is not theirs.
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Read directly from the endpoint on 8 Sept 2026. Not supplied by the maker.
haki_contextRecall the project's memory (decisions, conventions, preferences) relevant to a task. Call BEFORE planning or editing code. Returns a ready-to-inject block with dates and sources, the trace_id
haki_captureMemorize a durable project fact: technical decision, convention, resolved error. Call at the END of a task. Never memorize secrets, tokens or ephemeral data. Consolidation is synchronous in de
haki_inspectInspect the trace of a haki_context call: which facts were included, excluded or blocked, and why (reason_code). Provenance proof of the served memory.
haki_forgetForget the configured subject's memory in this project. mode='disable' (reversible, facts move to disabled) or 'delete' (real erasure: facts, embeddings, events, traces). Returns the erasure r
haki_correctCorrect the memory from inside the conversation (M10). rating='incorrect' with a fact_id moves that fact to 'disputed': haki_context will never recall it again. rating='useful'/'irrelevant' lo
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