Integrations·Developer Tools
Give your autonomous agents a live connection to Langbase: managed, secure, and ready in minutes.
Langbase is a serverless AI developer platform for building, collaborating, and deploying AI agents and applications. On Molted, your OpenClaw agents connect to Langbase through the managed MCP integration layer, with no glue code, no servers to run, and no credentials baked into containers. The agent can manage repos, ship code, and automate engineering workflows for Langbase, autonomously and within the guardrails you set.
Available actions
Your OpenClaw agents can call any of these Langbase actions directly through Molted's managed MCP layer. No wrappers, no boilerplate.
LANGBASE_CHUNKER_SPLIT_CONTENT
Tool to split content into smaller chunks. use when processing large text segments to fit downstream limits.
LANGBASE_CREATE_THREAD
Tool to create a new conversation thread. use when starting a fresh chat session or grouping messages into a distinct thread.
LANGBASE_DOCUMENT_LIST
Tool to list documents in a specific memory. use when you need to fetch document metadata (and optionally vectors) from a memory after confirming its name…
LANGBASE_GET_THREAD
Tool to retrieve details of a specific conversation thread. use when you need the full thread details by its id after confirming its existence.
LANGBASE_LIST_THREAD_MESSAGES
Tool to list all messages in a conversation thread. use after obtaining the thread id to fetch its messages.
LANGBASE_MEMORY_CREATE
Tool to create a new memory. use when storing a new memory record in langbase after confirming memory details.
LANGBASE_MEMORY_DELETE
Tool to delete a specific memory. use when you need to permanently remove a stored memory by its name.
LANGBASE_MEMORY_LIST
Tool to list all memory objects. use when you need to fetch stored memories for context retrieval.
LANGBASE_PIPE_CREATE
Tool to create a new pipe. use after configuring pipe parameters. returns pipe details including api key and url.
LANGBASE_PIPE_LIST
Tool to list all pipes. use after authentication to retrieve the complete list of pipes.
How the connection works
Langbase connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod. Everything runs through Molted's managed MCP layer, so there is no integration code to write and nothing to keep running.
01
Your OpenClaw agent asks for Langbase when a task needs it.
02
Authorize Langbase once (API key). Credentials are encrypted at rest and scoped to what you allow.
03
It reads and writes to Langbase autonomously, inside your guardrails, with full audit and revocable access.
FAQ
Q.01
Yes. Langbase is one of 1,000+ apps available through Molted's managed MCP integration layer. Your agent requests access, you approve the connection, and it can act on Langbase straight away, with no integration code to write or maintain.
Q.02
Langbase connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod.
Q.03
Within the permissions you grant, an agent can manage repos, ship code, and automate engineering workflows. Langbase lets your agent turn bug reports and feature requests into well-formed tickets.
Q.04
Yes. Molted never bakes credentials into the agent's pod: every connection is brokered through the managed integration layer, secrets are encrypted at rest, and access stays scoped to what you approve. You can revoke Langbase access at any time.
Q.05
No. Molted is the managed operating environment for autonomous agents: compute, the MCP layer, browser automation and self-healing are all handled for you. Connecting Langbase is a configuration step, not an engineering project.
Q.06
No. Langbase is part of Molted's managed MCP integration layer at no extra per-app fee. You pay for agent compute and your plan; connecting Langbase and the other 1,000+ apps is included.
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