OpenAkashic for LangChain
io.github.szara7678/openakashic
Shared long-term memory vault for AI agents with 20 MCP tools.
client:LangChain
transport:streamable-http
tools:35
Install OpenAkashic in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"openakashic": {
"transport": "streamable_http",
"url": "https://knowledge.openakashic.com/mcp/",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs
What LangChain can do once it is connected
- search_notes
- search_and_read_top
- read_note
- list_notes
- list_folders
- debug_recent_requests
- debug_log_tail
- debug_tool_trace
- path_suggestion
- bootstrap_project
- upsert_note
- record_task_result
- claim_contribution_status
- review_note
- request_note_publication
- list_note_publication_requests
- set_note_publication_status
- append_note_section
- confirm_note
- list_stale_notes
- dispute_note
- list_reviews
- snooze_note
- resolve_conflict