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OpenClaw
Run agents on any channel with one-command config migration
OpenClaw is a self-hosted, model-agnostic AI agent runtime that connects to 20+ messaging platforms. Version 2026.4.26 adds Google Live browser Talk mode, deep Ollama/local model fixes, one-command Matrix E2EE setup, and a migration CLI for Claude Desktop, Claude Code, and Hermes configs. For developers running local AI setups.
If you run Ollama locally, this release was written for you.
What it is: OpenClaw is a self-hosted AI agent runtime that routes agent sessions across 20+ messaging platforms from a local Gateway, supporting every major model provider including fully local setups via Ollama and OpenAI-compatible proxies.
The Ollama layer in prior releases had real gaps: context handling was inconsistent, thinking controls did not map correctly to native Ollama params, timeouts hit SDK defaults instead of configured values, and local auth had edge cases that broke on custom providers. Version 2026.4.26 ships a consolidated Ollama rewrite that addresses context behavior, thinking effort levels, timeouts, local auth scoping, and OpenAI-compatible proxy defaults. For users coming from Claude Desktop or Hermes, there is now a openclaw migrate CLI that runs plan, dry-run, backup, and apply stages before touching any config.
What makes it different: The memory, skills, and config are plain files. There is no SaaS layer, no subscription, and no model lock-in. The 365k GitHub stars suggest the audience for self-hosted, always-on AI agents is larger than the conventional wisdom assumed.
openclaw migrate with plan, dry-run, JSON report, pre-migration backup, and Claude Desktop/Code and Hermes importers
Google Live browser Talk sessions with ephemeral token handling and Gateway relay fallback
Cerebras added to the bundled provider set with onboarding and endpoint config in the manifest
One-command Matrix E2EE: encryption enable, recovery bootstrap, and verification status in a single setup flow
Transcript compaction now triggers on active byte size and rotates onto a smaller successor file
Docker fixes: CA certs in slim images, host.docker.internal defaults, and first-run volume permissions
Benefits:
Local model setups get accurate context limits, thinking behavior, and timeout handling without workarounds
Config migration from Claude and Hermes setups has a safe dry-run path
Matrix E2EE is no longer a manual config spelunking exercise
Docker deployments start cleanly on first run without permission or TLS issues
Who it's for: Developers who self-host AI agents on local hardware or VPS, particularly those running Ollama, migrating from Claude Desktop or Claude Code, or deploying via Docker.
OpenClaw is three years ahead of where most self-hosted agent projects are, and this release is the kind of infrastructure consolidation that makes the gap harder to close.
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About OpenClaw on Product Hunt
“Run agents on any channel with one-command config migration”
OpenClaw was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #82 on the daily leaderboard. OpenClaw is a self-hosted, model-agnostic AI agent runtime that connects to 20+ messaging platforms. Version 2026.4.26 adds Google Live browser Talk mode, deep Ollama/local model fixes, one-command Matrix E2EE setup, and a migration CLI for Claude Desktop, Claude Code, and Hermes configs. For developers running local AI setups.
OpenClaw was featured in Telegram (5.3k followers), Open Source (68.4k followers), Developer Tools (511.7k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 99.5k products, making this a competitive space to launch in.
Who hunted OpenClaw?
OpenClaw was hunted by Raghav Mehra. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how OpenClaw stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Raghav Mehra
If you run Ollama locally, this release was written for you.
What it is: OpenClaw is a self-hosted AI agent runtime that routes agent sessions across 20+ messaging platforms from a local Gateway, supporting every major model provider including fully local setups via Ollama and OpenAI-compatible proxies.
The Ollama layer in prior releases had real gaps: context handling was inconsistent, thinking controls did not map correctly to native Ollama params, timeouts hit SDK defaults instead of configured values, and local auth had edge cases that broke on custom providers. Version 2026.4.26 ships a consolidated Ollama rewrite that addresses context behavior, thinking effort levels, timeouts, local auth scoping, and OpenAI-compatible proxy defaults. For users coming from Claude Desktop or Hermes, there is now a openclaw migrate CLI that runs plan, dry-run, backup, and apply stages before touching any config.
What makes it different: The memory, skills, and config are plain files. There is no SaaS layer, no subscription, and no model lock-in. The 365k GitHub stars suggest the audience for self-hosted, always-on AI agents is larger than the conventional wisdom assumed.
Key features:
Comprehensive Ollama overhaul covering context, thinking controls, auth, discovery, and timeout behavior
openclaw migrate with plan, dry-run, JSON report, pre-migration backup, and Claude Desktop/Code and Hermes importers
Google Live browser Talk sessions with ephemeral token handling and Gateway relay fallback
Cerebras added to the bundled provider set with onboarding and endpoint config in the manifest
One-command Matrix E2EE: encryption enable, recovery bootstrap, and verification status in a single setup flow
Transcript compaction now triggers on active byte size and rotates onto a smaller successor file
Docker fixes: CA certs in slim images, host.docker.internal defaults, and first-run volume permissions
Benefits:
Local model setups get accurate context limits, thinking behavior, and timeout handling without workarounds
Config migration from Claude and Hermes setups has a safe dry-run path
Matrix E2EE is no longer a manual config spelunking exercise
Docker deployments start cleanly on first run without permission or TLS issues
Who it's for: Developers who self-host AI agents on local hardware or VPS, particularly those running Ollama, migrating from Claude Desktop or Claude Code, or deploying via Docker.
OpenClaw is three years ahead of where most self-hosted agent projects are, and this release is the kind of infrastructure consolidation that makes the gap harder to close.