Bring your agents
Connect ChatGPT, Claude, Codex, OpenClaw, or any MCP client to the same company context, scoped to each user.
Connect an agent →Match community members to new launches and posts in their space, and draft intro messages for the best two matches.
See how members, interests, launches, and introductions connect while people approve every outreach.
Connectors stream your databases, SaaS tools, files, devices, and internal APIs into context. Your systems of record stay where they are. Models, sandboxes, and devices are independent layers, credentials gateway-side. Flip the tabs to wire each one.
Connectors ↗Raw events resolve into people, customers, projects, policies, and goals, with the relationships between them. Every fact from the connectors above converges on the right record, carries its provenance, and is read under the caller's permissions.
Memory ↗A trigger — a schedule, or reactive to connector events — plus a plain-language prompt. Once defined it runs unprompted: scans memory, matches the trigger, and surfaces the work with the evidence attached.
Automations ↗“Match community members to new launches and posts in their space, and draft intro messages for the best two matches.”
ChatGPT, Claude, and Codex connect over MCP; Slack, Teams, and WhatsApp over chat; your own apps over the API. Same context, same permissions, whoever's asking. Consequential work arrives as a proposal you review, edit, and approve.
Platforms ↗Matches ready · Sarah
Drafted intros to Devon and Mira for Sarah. Review before I queue them:
Use the agents your team already trusts. Managed agents are optional.
Connect ChatGPT, Claude, Codex, OpenClaw, or any MCP client to the same company context, scoped to each user.
Connect an agent →Run repeatable work from live events or schedules under the same approval policy.
Build a managed agent →Share context, permissions, approvals, and connected actions with any agent. Add Lobu's runtime only when you need it.







The use case above is one project: connections, entity types, automations, and agent configuration. Inspect each piece or let your coding agent generate it.
import {
connectorFromFile,
defineAgent,
defineConfig,
defineSkill,
defineEntityType,
defineRelationshipType,
defineAutomation,
every,
secret,
field,
} from "@lobu/cli/config";
import type DiscoursePostsConnector from "./discourse-posts.connector.ts";
const opportunityMatcherSkill = defineSkill({
name: "opportunity-matcher",
content:
'Monitor connected profiles, newsletters, websites, and member updates for new launches, posts, hiring signals, funding news, and project changes. Return each strong match in `signals` as a standard observation event draft: `content` explains the match and `metadata` contains `{ kind: "community_match", member_a, member_b, confidence }`. Return an empty array when there is no specific match.\n',
});
const agentCommunity = defineAgent({
id: "agent-community",
skills: [opportunityMatcherSkill],
name: "agent-community",
description:
"Discover aligned members, explain why they should meet, and draft warm introductions",
dir: ".",
providers: [
{
id: "anthropic",
model: "claude/sonnet-4-5",
key: secret("ANTHROPIC_API_KEY"),
},
],
network: {
allowed: [
"github.com",
".github.com",
".githubusercontent.com",
"registry.npmjs.org",
".npmjs.org",
],
},
});
// entity types and relationships defined here…
const opportunityMatcher = defineAutomation({
agent: agentCommunity,
slug: "opportunity-matcher",
name: "Opportunity matcher",
triggers: [every("0 */12 * * *")],
tags: ["community", "matching"],
minCooldownSeconds: 300,
outputs: { signals: { event: "observation" } },
skills: ["opportunity-matcher"],
});
export default defineConfig({
connectors: [
connectorFromFile<typeof DiscoursePostsConnector>(
"./discourse-posts.connector.ts"
),
],
org: "agent-community",
orgName: "Agent Community",
orgDescription:
"Discover aligned members, explain why they should meet, and draft warm introductions",
agents: [agentCommunity],
entities: [match, post, topic],
relationships: [interestedIn, introducedTo, matchesWith, writesAbout],
automations: [opportunityMatcher],
});Connect any agent to shared context and keep consequential actions under approval.