Agent Memory Bridge
Related Servers
Alternatives to Agent Memory Bridge
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceProvides a persistent, local-first memory for coding agents over MCP, enabling automatic recall and recording of past work, failures, and decisions to reduce repetition and token usage.MIT
- AlicenseNot gradedqualityBmaintenanceLocal-first memory daemon for AI coding agents that captures session transcripts, distills typed memories (decisions, facts, lessons, commands, todos), and serves them via hybrid search through MCP tools.88 npmMIT
- AlicenseNot gradedqualityAmaintenanceLocal-first persistent memory for coding agents and MCP clients. It keeps important project context across sessions and reduces wasted tokens by retrieving only relevant memories instead of replaying unnecessary history.MIT
- AlicenseNot gradedqualityAmaintenanceProvides persistent memory for AI coding agents via MCP, enabling agents to store and semantically recall facts, events, and lessons across sessions, all running locally without cloud dependencies.Apache 2.0
- AlicenseBqualityAmaintenanceProvides local-first durable memory and session continuity for AI coding agents over MCP, enabling context across restarts without cloud services or telemetry.21MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI coding agents to maintain persistent, cross-session memory of codebase architecture, naming conventions, and decisions through MCP tools. Eliminates repetitive project re-explanation by automatically injecting stored context into every session with local-first SQLite storage and optional team sharing capabilities.4MIT
TDQS
Scored across 17 tools
Most tools have clearly distinct purposes, with a few pairs like recall/browse and promote/annotate/revise that could be initially confused but are well-delineated by descriptions. Overall, an agent can reliably select the right tool for memory, signal, or run operations.
The majority of tool names follow an imperative verb or verb_noun pattern (store, recall, begin_run, ack_signal), but a few nouns like 'feedback' and 'stats' break the convention. This mixed style is still readable but not fully consistent.
At 17 tools, the set is on the heavier side, though the complex domain of memory plus run/signal coordination justifies most entries. It sits at the boundary where agents might find the surface area slightly overwhelming.
The tools cover the full memory lifecycle (create, read, update, delete) and provide robust run and signal workflows. Minor gaps exist, such as no direct get-memory-by-id or list-runs operation, but existing tools accommodate these needs reasonably well.