Hivemind
Hivemind is an open-source continual-learning layer for coding agents. It captures every agent interaction - prompts, tool calls, reasoning, outputs - as structured traces, codifies repeated patterns into reusable skills, and feeds them back into every connected agent. It works across Claude Code, Codex, Cursor and more, stores data in your own cloud bucket, and reported +19.1 points in Claude Code and +24.8 in Codex on agent benchmarks.
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Our take
Hivemind fills a real gap: coding agents forget everything between sessions. It records what your agents do, turns recurring patterns into reusable skills, and shares them across the team's agents - with reported gains of +19 to +25 points on benchmarks. Open source, and it keeps data in your own cloud, which matters for source code. Still young, and you'll need to wire it into your stack.
Best for
Engineering teams running coding agents (Claude Code, Codex, Cursor) who want those agents to learn from each other instead of repeating the same mistakes - and who need their traces to stay in their own cloud.
Pros
- Captures agent traces and turns them into reusable, shared skills
- Reported +19.1 (Claude Code) and +24.8 (Codex) benchmark gains
- Open source; stores data in your own cloud bucket
- Works across Claude Code, Codex, Cursor and more
Cons
- Brand new, with a short track record
- Needs integration work to wire into your agents
- Value scales with team size and usage volume
How it compares
Most coding-agent 'memory' is per-session or per-repo. Hivemind's angle is cross-agent, team-wide continual learning - skills learned by one agent propagate to all of them - which is closer to org-level knowledge than a single agent's context window.
Full review
Hivemind is an open-source continual-learning layer for coding agents. It captures every agent interaction - prompts, tool calls, reasoning, outputs - as structured traces, codifies repeated patterns into reusable skills, and feeds them back into every connected agent. It works across Claude Code, Codex, Cursor and more, stores data in your own cloud bucket, and reported +19.1 points in Claude Code and +24.8 in Codex on agent benchmarks.
Most coding-agent 'memory' is per-session or per-repo. Hivemind's angle is cross-agent, team-wide continual learning - skills learned by one agent propagate to all of them - which is closer to org-level knowledge than a single agent's context window.
Cloudkart Trust Graph
4.0/5- Actual Utility4/5
Source: Initial LLM-authored rubric (backfill)
- Ease of Use3/5
Source: Initial LLM-authored rubric (backfill)
- Pricing Fairness5/5
Source: Initial LLM-authored rubric (backfill)
- Reliability3/5
Source: Initial LLM-authored rubric (backfill)
- Differentiation5/5
Source: Initial LLM-authored rubric (backfill)
Scored as of . Each score is versioned and auditable; vendors cannot buy it.
How this score is set
- Editorial rubric
- Primary signal — five dimensions, 4.0/5 average.
- Community reviews
- None yet.
- Pricing verified
- Not yet verified
- Independence
- Score set by our editorial team before any affiliate relationship is considered. No vendor can buy it.
Frequently asked questions
- Is Hivemind free, and how much does it cost?
- Hivemind is open source and free to self-host.
- Who is Hivemind best for?
- Engineering teams running coding agents (Claude Code, Codex, Cursor) who want those agents to learn from each other instead of repeating the same mistakes - and who need their traces to stay in their own cloud.
- How is Hivemind rated on Cloudkart.ai?
- Hivemind scores 4.0 out of 5 on the Cloudkart.ai rubric, which weighs actual utility, ease of use, pricing fairness, reliability and differentiation. Scores are set editorially and can never be bought.
Community reviews
No community reviews yet. Be the first to share how Hivemind works for you.
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Compare Hivemind head-to-head: vs Composio · vs LiteLLM · vs Claude Code · vs Kiro