Show HN: AgentRun – open-source, Self-improving Managed Agents
We (GREP.AI, YC F26) are open-sourcing AgentRun and turning it into a full managed agents platform. Read more about it in this post: https://agentrun.ai/blog/introducing-agentrun-run-smarter-ag... . It includes what we originally built for our own agent harness: - Self-improving agents - Web-grounded workflows - A range of sandboxes and computer environments - Thousands of tools and integrations - Detailed analytics on how your agents behave You can bring your own agent. AgentRun works with Pi,
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Source record
Recorded metrics
points · 75 votes
2026-11-13 01:16:57.591Z
cumulative since publication
Research analysis
Project record
Repository: Parcha-ai/agentrun. Source account: We (GREP.AI, YC F26) are open-sourcing AgentRun and turning it into a full managed agents platform. Read more about it in this post: https://agentrun.ai/blog/introducing-agentrun-run-smarter-ag... . It includes what we originally built for our own agent harness: - Self-improving agents - Web-grounded workflows - A range of sandboxes and computer environments - Thousands of tools and integrations - Detailed analytics on how your agents behave You can bring your own agent. AgentRun works with Pi,
Observed adoption & comparisons
Source votes: 75 votes (Nov 13, 2026 UTC; cumulative since publication); previous same-scope observation: 75 (Nov 13, 2026 UTC). These observations do not establish demand growth. Recent records to compare: “addyosmani/agent-skills” (GitHub Trending, Nov 13, 2026); “CopilotKit/OpenBot” (GitHub Trending, Nov 13, 2026). Shared themes are navigation hints; they have not been verified as the same need or independent corroboration.
Adoption decision
Evaluate it against the tool or manual workflow it would replace. The stored record supports discovery; it does not yet establish reliability, lower operating cost or commercial adoption.
Unverified requirements
Not verified: license permissions, required hardware, installation steps, maintenance status and a representative task with its failure cases.
Next test
Choose one real task and a current alternative. Record the commit, environment, input, output, elapsed time and failure behavior; retain the result before recommending adoption.