context-management
30 servers · 894★ total
Local persistent memory store for LLM applications including continue.dev, cursor, claude desktop, github copilot, codex, antigravity, etc.
Local-first AI memory you can see, edit, and override — portable across Claude Code, Codex, Cursor, Windsurf, and other MCP coding tools.
Persistent memory for AI coding agents. Local-first, cross-session context, global knowledge, and optional autonomous task execution.
Recursive Language Models for Claude Code - Infinite memory solution inspired by MIT CSAIL paper
🏛️ Memory System for AI Coding Tools - Never explain your codebase again. MCP server with perfect project isolation, 95.8% context accuracy, and the Four Pillars Framework.
Curion is a project-local memory layer for AI coding agents, published as an MCP server for Claude Code, Codex, OpenCode, and other MCP clients.
Reliability gateway for AI tool output: schema-stable, secret-safe, pagination-complete JSON for MCP and CLI agents.
Unified MCP context intelligence platform — pip-installable CLI that absorbed 6 foundational repos. Context engineering for AI agents.
Universal infinite memory layer for Developer AI assistants. One shared brain across Claude, Cursor, Windsurf & more. 100% local, built on MCP standard. Stop re-explaining context
Secure AI Memory with Dynamic Project Detection, Automatic Session Briefing, Personal+Team Session Summary Prompts, Triple Search, Knowledge Graphs, GitHub Integration (Issues, PRs, Actions, Kanban, Milestones), Team Collaboration, Hush, Adaptive Analytics, Markdown I/O, Audit+Token Logging, OAuth 2.1 & HTTP/SSE/stdio. 70+ Tools in 1 Code Mode.
A persistent memory MCP server for Claude Code - Recursive Language Model integration for Claude Code inspired by MIT CSAIL paper
FAF specification — IANA-registered AI context format (application/vnd.faf+yaml)
DAG-based Lossless Context Management for Claude Code. Every message preserved, summaries cascade as a DAG, patterns extracted via Lossless Dream — full recall and reflection across sessions.
Optimized, auditable execution for Codex and Claude Code: bounded repository context, verified patches, and reproducible paired benchmarks.
⚜️ An MCP server for context compaction and recycling in Claude Code
One MCP server that fronts many MCP servers + Skills behind a small tool set and routes to the best one, keeping an agent's context tiny. Migrate your Claude Code MCPs/skills behind it.
Persistent cross-session memory for AI coding assistants. Works with Claude Code, Cursor, Windsurf, Cline, OpenClaude, and MCP-compatible editors.
Decision memory for AI coding agents. A local-first Go binary and MCP server: records decisions with evidence, scope, provenance and expiry, packs the relevant ones into each agent session within a token budget, and links commits back to the decisions that were in scope when they landed.
Open-source context engineering protocol for AI agents: governed retrieval, bounded multi-agent handoffs, MCP, provenance, recoverable effects, and replay.
MCP-compatible context and memory system: paged code navigation for AI assistants, plus a recorded, verified theory of what is known about the code.
MCP server for DriftGuard — exposes AI conversation drift scores and session health to Claude Desktop and other MCP clients
Universal, cross-tool persistent memory bank for AI assistants (Claude Code, Cursor, Windsurf, OpenCode, Codex) powered by FastMCP, Gemini embeddings & Supabase pgvector.
Production-backed 6-layer memory architecture for AI coding agents. Model-agnostic — works with Claude Code, Cursor, Aider, Copilot, or any custom agent. Includes templates, scripts, interactive wiki graph builder, and one-line installer.
Persistent memory for Claude Code. Survives compaction and session boundaries: anti-patch reconcile-on-write with LLM-judged de-duplication, a forced PROGRESS.md handoff, a live PLAN.md anchor with an enforced directive ledger, FTS5 search, MCP tools and a GUI. Pure stdlib Python, zero runtime dependencies.
Zero context compaction for Claude Code & LLM agents. Persistent memory powered by OS primitives (demand paging, kswapd eviction, mlock pinning). Single SQLite file, MCP-native, multi-agent shared.
Universal MCP skill dispatcher for AI coding agents. Load Claude Code, OpenCode, Cursor, Gemini, command, and GitHub-hosted skills on demand.
Context compression for AI agents — cut token usage costs with retrievable CCR compression. Rust core + Python API, Claude Code & Codex plugin, MCP server. PyPI: furl-ctx
One command to make any repo agent-ready. Scaffolds .agent/ workspace, platform instruction files (Claude, Cursor, Windsurf, Copilot, Gemini), reusable skills, and MCP server for AI coding assistants.
MCP server giving LLM agents a seven-verb API over papers, documents, code, state, patents, and cached web/Wolfram/YouTube tool calls