memra
Persistent memory for AI agents.
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What it can do
What data it sees
Do you need an account
No: the server works without sign-in
Persistent memory for AI agents. EU-hosted, privacy-first, hybrid recall, contradiction detection.
Server tool list (7)
Raw names from tools/list. Only developers need these.
| memra_remember | Store one or many memories in Memra. Single mode: pass content + namespace. Decision mode: pass type=decision with content + namespace (optionally context). Pattern mode: pass type=pattern with title + steps + namespace. Bulk mode: pass entries[]. If the response contains conflicts[], the new fact contradicts those existing memories — review them and use memra_supersede on the outdated one instead of leaving both active. |
| memra_recall | Search memories in Memra by semantic similarity. Returns ranked results by relevance. Replaces memra_search. |
| memra_get | Get a single memory by ID with full content. Use when you need the complete text of a memory (search results are truncated). |
| memra_list | List memories in Memra for a namespace. Returns paginated results with filtering options. |
| memra_supersede | Replace a memory with new content. The old memory is marked superseded and stops appearing in search; the new memory inherits the old memory's type, importance, tags, source and metadata unless overridden. Works for all memory types (use this instead of memra_add when you are correcting or updating existing knowledge). |
| memra_history | View the full supersession chain for a memory (oldest to newest). Use this when you need to audit how a fact or decision evolved over time — e.g., the user asks "why did we change X?", you need to understand prior reasoning before proposing another change, or you spotted a superseded_by reference and need the full timeline. Given any memory ID in the chain, returns every predecessor and successor. |
| memra_bootstrap | Load agent bootstrap context from Memra. Returns priority-ordered memories for agent session initialization. |