cambium
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- FlicenseNot gradedqualityCmaintenanceEnables AI coding agents and IDEs to capture conversations, extract structured knowledge into a queryable graph database, and recall past decisions, patterns, files, and errors across all projects and workspaces. Provides persistent memory tools for saving, searching, and cleaning up knowledge via MCP.2-
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to capture, store, and retrieve durable learnings from projects via MCP tools, providing a queryable memory of product and technical lessons across repos.MIT
- AlicenseAqualityAmaintenanceMCP-native, local-first memory for coding agents that turns real sessions into reusable decisions, gotchas, and domain knowledge.174,130 PyPI6MIT
- AlicenseNot gradedqualityAmaintenanceEnables coding agents to persistently remember, recall, and forget facts, preferences, and decisions through MCP, keeping project-scoped and personal memory available across sessions and clients.1MIT

sill-ensoulofficial
AlicenseAqualityBmaintenanceProvides persistent, cross-session memory for CLI agents via MCP tools, enabling them to recall, distill, and share experiences across projects and tools.86MIT- AlicenseNot gradedqualityAmaintenanceEnables coding agents to store, retrieve, and share durable memories across projects and machines via MCP, with session-start recall and scoped, versioned storage.2MIT
TDQS
Scored across 14 tools
Each tool has a clearly distinct purpose: capture (manual save), distill (automatic import), endorse (vouch), export_markdown (render), generalize (restate as cross-project rule), import_memory (ingest external exports), promote (graduate scopes), recall (search), record_need (record a need), review_promotions (list eligible items), setup (initial config), stale_report (find stale entries), status (check config), verify_entry (confirm entry). Only minor overlap between capture and distill, but descriptions clarify the difference.
Tool names follow a consistent verb_noun pattern with underscores (e.g., record_need, review_promotions, export_markdown, verify_entry). Some are single verbs (capture, distill, endorse, generalize, promote, recall, setup, status), which is also consistent. No mixing of camelCase or other conventions.
14 tools is well-scoped for a knowledge management server covering capture, import, search, promotion, verification, reporting, and configuration. The number feels appropriate—not too few to miss functionality, not too many to be overwhelming.
The tool set covers the knowledge lifecycle comprehensively: creation (capture, distill, import_memory), search (recall), promotion (promote, review_promotions), endorsement (endorse), verification (verify_entry, stale_report), rendering (export_markdown), generalization (generalize), and setup. Missing explicit delete or update tools, but the domain may not require them (items can become stale). Minor gap.