AgentLog – a lightweight event bus for AI agents using JSONL logs
I’ve been experimenting with infrastructure for multi-agent systems. I built a small project called AgentLog. The core idea is very simple, topics are just append-only JSONL files. Agents publish events over HTTP and subscribe to streams using SSE. The system is intentionally single-node and minimal for now. Future ideas I’m exploring: - replayable agent workflows - tracing reasoning across agents - visualizing event timelines - distributed/federated agent logs Curious if others building agent systems have run into similar needs.
AgentLog – a lightweight event bus for AI agents using JSONL logs launched on March 13, 2026 with 9 votes, #1,237 of 23,380 launches that month and more than 75% of that year's launches.
What it does
AgentLog is a lightweight event bus for AI agents built on append-only JSONL logs. Agents publish and subscribe to events via HTTP/SSE, enabling simple, replayable, and debuggable multi-agent workflows. - sumant1122/agentlog
A simple, lightweight Kafka-like messaging system designed for AI agents, using JSONL append-only logs as the storage format. Kafka × tail -f × AI agents. It is lightweight, append-only, and easily inspectable with Unix tools. go run cmd/server/main.go The server binds to port 8080 and uses data/topics/ to store event logs. # Build the CLI tool go build -o agentlog cmd/cli/main.go # Tail a topic (Subscribes to live SSE events) ./agentlog tail tasks # Publish an event to the "tasks" topic ./agentlog publish tasks task_created ' {"task": "research transformers"} ' # Replay events from offset 0 ./agentlog replay tasks --offset 0 Direct HTTP / Curl access 1. Create a Topic / Publish an Event…from github.com
Does a similar job
all alternatives →
Open AgentsApr 2026 · open-agents.dev · ▲161OpenAgents - The collaboration OS for AI agents. Contribute to openagents-org/openagents development by creating an account on GitHub.
Freeact – A Lightweight Library for Code-Action Based Agents2025 · github.com · ▲122Hello! We just released freeact (https://github.com/gradion-ai/freeact), a lightweight agent library that empowers language models to act as autonomous agents through executable code actions. By enabling agents to express their actions directly in code rather than through constrained formats like JSON, freeact provides a flexible and powerful approach to solving complex, open-ended problems that require dynamic solution paths. * Supports dynamic installation and utilization of Python packages at runtime * Agents learn from feedback and store successful code actions as…
- ALA lightweight way to make agents talk without paying for API usageApr 2026 · juanpabloaj.com · ▲58
Real-time dashboard for Claude Code agent teamsApr 2026 · github.com · ▲77This project (Agents Observe) started as an exploration into building automation harnesses around claude code. I needed a way to see exactly what teams of agents were doing in realtime and to filter and search their output. A few interesting learnings from building and using this: - Claude code hooks are blocking - performance degrades rapidly if you have a lot of plugins that use hooks - Hooks provide a lot more useful info than OTEL data - Claude's jsonl files provide the full picture - Lifecycle management of MCP processes started by plugins is a bit kludgy at best The biggest takeaway is…
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video
Source: Show HN post ↗
Launched alongside, March 2026
the whole month →
Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
Littlebird▲709Littlebird remembers everything across your meetings, messages, docs, and apps, then takes action so you can recall any detail and never lose context.
AI · Mar 2026 · littlebird.ai
