wazionapps/nexo
by Various
NEXO Brain — Shared brain for AI agents. Persistent memory, semantic RAG, natural forgetting, metacognitive guard, trust scoring, 150+ MCP tools. Works with Claude Code, Codex, Cla
MCP
wazionapps/nexo
Added 1 June 2026
Overview
NEXO Brain provides a shared memory layer for AI agents using persistent memory, semantic RAG, and natural forgetting. It works with Claude Code, Claude Desktop, Codex, and any MCP client, offering trust scoring and a metacognitive guard. The system is fully local, open source, and free.
Best for
Best for
Developers building local, memory-enhanced multi-agent systems that need trust and forgetting
Use cases
- Give AI agents persistent cross-session memory
- Manage semantic retrieval and automatic forgetting
- Integrate trust scoring into multi-agent workflows
Notes
NEXO Brain provides a shared memory layer for AI agents using persistent memory, semantic RAG, and natural forgetting. It works with Claude Code, Claude Desktop, Codex, and any MCP client, offering trust scoring and a metacognitive guard. The system is fully local, open source, and free.
22 stars on GitHub. Last updated 2026-06-01.
Use cases
- Give AI agents persistent cross-session memory
- Manage semantic retrieval and automatic forgetting
- Integrate trust scoring into multi-agent workflows
Pros
- Fully local and free, no external dependencies
- Works with multiple MCP-compatible clients
- Includes built-in trust scoring and metacognitive guard
Cons
- Low community adoption (22 stars at time of entry)
- Requires local Python environment setup
- Compatibility limited to MCP protocol clients
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Fully local and free, no external dependencies
- Works with multiple MCP-compatible clients
- Includes built-in trust scoring and metacognitive guard
Cons
- Low community adoption (22 stars at time of entry)
- Requires local Python environment setup
- Compatibility limited to MCP protocol clients
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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