ContextBridge
Related Servers
Alternatives to ContextBridge
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceProvides persistent, multi-project memory for AI agents via MCP, enabling them to store and retrieve tasks, decisions, errors, checkpoints, and documentation while keeping context isolated by project.2MIT
- AlicenseNot gradedqualityBmaintenanceProvides a local-first persistent memory layer for coding assistants, enabling cross-project user preferences, per-project durable and working memory, session archives, and reflective recommendations through MCP tools.43 npmMIT
- AlicenseNot gradedqualityCmaintenanceLocal persistent memory for AI coding tools. Stores project context and conversation recall locally via MCP.19 npm15MIT
- AlicenseNot gradedqualityBmaintenanceProvides AI coding agents with shared project memory, compact evidence-first context, status checks, durable handoffs, and encrypted cross-device checkpoints through MCP.1AGPL 3.0
- AlicenseNot gradedqualityCmaintenanceProvides persistent, project-specific memory to AI assistants via the Model Context Protocol, enabling context-aware collaboration across sessions without cloud dependencies.1Apache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables MCP-compatible coding agents to persist and retrieve durable project context—such as decisions, preferences, issues, tasks, and notes—locally across sessions without cloud services.MIT
TDQS
Scored across 10 tools
Each tool targets a fairly distinct operation: project listing/creation, knowledge write (remember), retrieval (search_memory vs get_context), live state (update_state), session snapshot (checkpoint), conflict resolution, handoff packaging, and import. The riskiest pairs are checkpoint vs prepare_handoff and remember vs update_state, but the descriptions explicitly draw those boundaries (incremental session save vs full package; decisions/rationale vs current truth). Only mild overlap remains between search_memory and get_context, both of which read project knowledge.
Most tools follow a clean verb_noun pattern: list_projects, create_project, search_memory, update_state, resolve_conflict, get_context, prepare_handoff, import_context. Three deviate slightly — 'remember' (bare verb), 'checkpoint' (bare noun), and 'import_context' vs the noun 'memory' used elsewhere — but the set is still predictable and readable.
Ten tools is well within the sweet spot and every tool maps to a real step in the project-memory lifecycle (onboard, capture, retrieve, snapshot, handoff, import). Nothing looks redundant or padded.
Coverage is strong: project creation/listing, knowledge capture with supersede and conflict handling, live state, checkpoints, handoff export, and staged import. The main gaps are lifecycle ends — there is no way to delete/archive a project, and no explicit 'forget/delete entry' tool (outdated knowledge can only be superseded, not removed), which an agent may occasionally need.