graphlit-mcp-server
Directory recordIngest content from Slack, Discord, websites, Google Drive, Linear or GitHub into a Graphlit project, then search and retrieve relevant knowledge.
Showing 145–156 of 377 attributed MCPNav entries in the 2026-10-09 snapshot. This is a licensed subset of the category’s 964 deduplicated directory records.
Source coverage: MCP.so 626 · MCPNav 377. Catalog counts can overlap; the listing cards below contain only MCPNav records.
Ingest content from Slack, Discord, websites, Google Drive, Linear or GitHub into a Graphlit project, then search and retrieve relevant knowledge.
Hindsight: long-term memory for AI agents modeled on human memory.
Bilingual (English/Spanish) dual-memory system on PostgreSQL, pgvector and NVIDIA NIM with progressive retrieval, deduplication, checkpoints and auto-repair.
On-demand Obsidian vault access for AI coding assistants — 17 tools, 5 resources, 4 prompts.
Git-first agent memory: Markdown files are the source of truth, the index is disposable and writes are reviewable commits, with hybrid search and a CLI.
Local memory daemon with episodic, semantic and procedural tiers, SQLite and hnswlib storage, sleep-cycle consolidation and AES-256-GCM encryption at rest.
Cumulative memory and pattern learning for coding assistants, with local SQLite/SurrealDB storage for semantic codebase analysis.
io.github.inite-ai/inite-brain-service
MCP provider published as Inite Brain. Listed version: 2.3.0.
Directory description: Open-source bitemporal memory layer for LLM agents — knowledge graph with conflict resolution.
io.github.DanceNitra/inspeximus
MCP provider published as inspeximus: agent memory with provenance, GDPR erasure and a tamper-evident audit trail. Listed version: 3.16.6.
Directory description: Self-correcting agent memory: recall, supersede, revert, forget, GDPR erasure, audit receipts.
Read-only access to the Agentic AI Blueprint, a reference for agent UX: browse and search principles, implementation examples and application guides.
Persistent, shared memory for AI agents — facts, checkpoints, semantic search.
Four-tier memory (episodic, semantic, project, procedural) with temporal scoring, contradiction detection, entity tracking and a desktop visualization orb.
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