telemem
Related Servers
Alternatives to telemem
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to keep durable long-term memory on the user's own machine, writing sessions and messages into a local SQLite database and retrieving them via keyword, exact, or optional semantic search with surrounding context. Runs entirely offline over stdio, so no cloud service or API key is required to give an agent recall across sessions.1MIT
- AlicenseAqualityCmaintenancePersistent semantic memory for AI agents. SQLite-backed, local-first, zero config. Semantic search via Ollama embeddings with keyword fallback. Tools: remember, recall, history, forget, stats.1737 npm1MIT
- AlicenseAqualityAmaintenancePersistent memory for AI agents with sectioned entries (project/user/context/etc), semantic search, CLI, and per-project scope. Local JSON, zero config, no server required.18109 PyPI5MIT
- AlicenseBqualityCmaintenanceExposes 12 memory and multi-agent tools over stdio JSON-RPC so agents can write episodes and extracted facts, then recall them with hybrid retrieval, bi-temporal state tracking, and evidence-chain decomposition under a token budget. It also supports agent registration, team-shared memory with access grants, and an event bus for multi-agent collaboration.12Apache 2.0
- AlicenseAqualityBmaintenanceLocal persistent memory for AI agents with recall, semantic search, forgetting, and encrypted storage.128579 npm27Apache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to store and recall durable facts, decisions, and lessons over MCP using hybrid semantic and keyword search, typed memories, graph relations, sessions, and time-travel queries. Runs locally with no server process or API key, persisting everything to files that both agents and a CLI can share.10 npmMIT
TDQS
Scored across 8 tools
Each tool has a distinct role: add, get, search, list, update, delete, delete-all, and history. No overlaps or ambiguity; the descriptions clarify the differences between get_memory and get_memories.
Most tools follow a consistent verb_noun snake_case pattern (add_memory, get_memory, search_memories, update_memory, delete_memory). The exception is memory_history, which is noun_noun, breaking the pattern slightly.
The 8 tools cover the full memory lifecycle without bloat. The count is appropriate for a specialized memory server, neither sparse nor excessive.
The surface covers the complete CRUD spectrum (add, get, update, delete), plus listing, semantic search, delete-all for scope cleanup, and history tracking. No obvious gaps for the stated purpose of long-term memory management.