Calyx MCP
Related Servers
Alternatives to Calyx MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceHebbian memory system for AI coding agents that learns file associations, error-fix patterns, and tool sequences, enabling instant recall of related context to save tokens.132 npm13MIT
- FlicenseAqualityBmaintenanceGives coding agents a memory of codebases by searching repositories using semantic similarity and structural call/import graphs, enabling reuse of proven patterns and reducing token usage.61-
- FlicenseNot gradedqualityBmaintenancePersistent, self-curating memory for coding agents. It enables local, zero-cost context recall through MCP tools with hybrid retrieval and autonomous consolidation.-
- AlicenseBqualityCmaintenanceEnables programming agents to capture errors and conversation signals, reflect on root causes, consolidate reusable skills, and retrieve relevant context for future tasks, providing a self-learning memory loop.15MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI coding agents to verify code patches locally with sub-50ms neuro-symbolic analysis, detecting structural issues like dependency cycles and interface drift without consuming output tokens.43 PyPI1Apache 2.0
- AlicenseAqualityFmaintenanceSelf-improving, verifiable memory for AI coding agents. Learns how you work, stops repeating mistakes, models each project, recalls the right lesson at the right moment. Every memory is signed and tamper-evident. Local-first.82Apache 2.0
TDQS
Scored across 5 tools
Each tool has a distinct role: querying memory, checking code reflexes, inspecting state, learning outcomes, and resetting. The only mild overlap is between query_associative_memory and check_code_reflex, since both access stored patterns, but their purposes are clearly separated by general search versus instant classification.
All tool names follow a consistent verb_noun snake_case pattern: query_, check_, inspect_, remember_, and reset_. The naming clearly communicates the action and target for every tool.
Five tools is well-scoped for a memory system server. Each tool covers a necessary operation without redundancy or bloat.
The tool set covers the full lifecycle of associative memory: querying, fast checking, inspecting state, learning from outcomes, and resetting/pruning. No obvious dead ends or missing critical operations exist for the stated purpose.