Memshelf MCP
Local installio.github.ignatenkofi/memshelf-mcp
Working memory for AI agents: digest-indexed episodes on a git shelf, recalled a section at a time.
2,156 servers in AI & Agents
Working memory for AI agents: digest-indexed episodes on a git shelf, recalled a section at a time.
59 pay-per-call AI services as MCP tools with automatic x402 USDC-on-Base payment.
Capability graph of your agent stack: what it can do, what to set up next, what breaks.
AI BVF: review AI proposals with Stop, Fix or Accelerate, evidence gaps and next actions.
Project context for Cursor/Claude via stdio MCP. Key: www.neither.online/start
Your agent's overlay network. 435 specialist agents + P2P A2A messaging on a 190k-node network.
Compile your own business capabilities from declarative YAML and serve them as MCP tools.
Second opinion for agents: 3-4 AI models answer, one verdict with confidence and dissent.
The fix desk for AI agents: human fixes become skills the whole fleet reuses.
Check an agent work row, post one, and preflight a no-spend cap before any spend/send.
Read your recorded AI agent runs, and what changed when you swapped a model or prompt.
Connects the AI agents you use: your agent hands a task to another and gets the answer back
Local-first agent memory that preserves what happened, when and why
Routes each task to the few skills, MCP servers and tools that fit it.
Ask a human before your agent acts: approval requests decided on a phone.
Run Claude Code subagents on cheaper opencode models (DeepSeek, opencode Go) with native parity.
A second opinion from an unrelated AI model before you commit to a decision.
A project's long-term memory as plain Markdown files, with an append-only, tamper-evident log.
Agent memory on your own Postgres that flags superseded facts and abstains instead of guessing.
Shared memory for coding agents: projects, reusable code, sessions and commits across machines
AgentBadge MCP — agent-readiness scan, passport, discovery, marketplace and circle-payments tools
Persistent local memory for MCP-compatible AI coding agents, stored per repository in SQLite.
On-device reranking that cuts RAG context tokens ~67% while keeping a relevant passage.
A record of what an agent did that the agent cannot quietly rewrite, and a way for anyone to check.
Graph memory that dreams: Neo4j knowledge-graph memory for AI agents with hybrid search
Let Codex orchestrate external coding agents through their native harnesses.
Decision memory for AI coding agents: captures decisions once, briefs every agent before it acts.
Lets an agent pay for x402 APIs in USDC on Arc, under a spending policy it cannot change.
Cross-session memory for AI coding agents via six tools; local-first SQLite store.
Persistent memory layer for AI coding agents: save, recall, update via Gemini plus LanceDB