Octopoda Memory
@RyjoxTechnologies
About Octopoda Memory
Persistent memory for AI agents that survives across sessions. Store, recall, and semantically search memories. Includes loop detection that catches agents stuck repeating themselves, full audit trails, shared memory between agents, and a real-time dashboard. Works with Claude Co
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"octopoda": {
"command": "python",
"args": [
"-m",
"synrix_runtime.api.mcp_server"
],
"env": {
"OCTOPODA_API_KEY": "your-key-from-octopodas.com"
}
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Octopoda Memory?
Octopoda Memory is a persistent memory system for AI agents. It allows agents to store, recall, and search memories that survive across sessions, restarts, crashes, and deployments. It is designed for developers building AI agents that need long-term memory, shared knowledge, and monitoring capabilities.
How to use Octopoda Memory?
Install the package with pip install octopoda, obtain a free API key from https://octopodas.com, then add it to Claude Code using the command: claude mcp add octopoda -s user -e OCTOPODA_API_KEY=your-key -- python -m synrix_runtime.api.mcp_server.
Key features of Octopoda Memory
- Persistent memory that survives restarts, crashes, and deployments
- Semantic search to find memories by meaning
- Loop detection to catch agents repeating themselves
- Audit trail logging every decision with reasoning
- Shared memory for agents to share knowledge through memory spaces
- Real-time dashboard to monitor all agents at localhost:7842
Use cases of Octopoda Memory
- Storing agent memories that persist across multiple sessions
- Searching for past memories by semantic similarity rather than exact keys
- Preventing agents from burning tokens by repeating the same actions
- Logging and reviewing agent decision rationale for debugging
- Enabling multiple agents to share and access common knowledge
FAQ from Octopoda Memory
What is Octopoda Memory?
Octopoda Memory provides persistent memory for AI agents, allowing them to store, recall, and search memories that survive across sessions.
How do I install Octopoda Memory?
Install it via pip: pip install octopoda. Then get a free API key at https://octopodas.com and add the server to Claude Code with the provided command.
What tools does Octopoda Memory provide?
It offers 13 tools including octopoda_remember, octopoda_recall, octopoda_recall_similar, octopoda_search, octopoda_recall_history, octopoda_snapshot, octopoda_restore, octopoda_share, octopoda_read_shared, octopoda_list_agents, octopoda_agent_stats, octopoda_log_decision, and octopoda_loop_status.
What is the real-time dashboard address?
The real-time dashboard runs at localhost:7842.
Where do I get an API key?
A free API key is available at https://octopodas.com.
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