# agent.txt — Cerebrun (cereb.run)
# Digital Self — persistent memory and context layer for AI agents

User-Agent: *
Agent-Name: Cerebrun
Agent-Description: MCP server providing persistent memory, context management, knowledge base, and multi-LLM gateway for AI agents
Agent-Version: 1.0.0
Agent-URL: https://cereb.run

# Protocols
Protocol: MCP
Protocol-Endpoint: /mcp
Protocol-Format: JSON-RPC 2.0

Protocol: A2A
Protocol-Endpoint: /a2a
Protocol-Discovery: /.well-known/agent.json
Protocol-Format: JSON-RPC 2.0

# Discovery
LLMs-Txt: /llms.txt
LLMs-Full-Txt: /llms-full.txt
Skills: /skills.md
Agent-Card: /.well-known/agent.json

# Authentication
Auth-Method: API-Key
Auth-Header: X-API-Key
Auth-Method: Bearer
Auth-Method: Google-OAuth

# Capabilities
Capability: context-management
Capability: knowledge-base
Capability: vector-search
Capability: multi-llm-gateway
Capability: encrypted-vault
Capability: tool-calling
Capability: web-search
Capability: cross-conversation-memory
Capability: a2a-interoperability

# Available Tools (MCP)
Tool: get_context
Tool: update_context
Tool: search_context
Tool: request_vault_access
Tool: push_knowledge
Tool: query_knowledge
Tool: list_knowledge_categories
Tool: chat_with_llm
Tool: list_conversations
Tool: get_conversation
Tool: search_conversations
Tool: fork_conversation
Tool: get_llm_usage
Tool: list_available_providers

# Supported LLM Providers
Provider: openai
Provider: anthropic
Provider: gemini
Provider: ollama

# Contact
Source: https://github.com/niyoseris/cerebrun
Website: https://cereb.run