Comparison
hivemind vs agent-protocol
Verdict
Pick hivemind if hivemind stands out for its capabilities in converting traces into reusable skills across multiple AI agents using embeddings; pick agent-protocol if agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking.
Markdown twin · hivemind alternatives · agent-protocol alternatives
GraphCanon updated Oct 8, 2026
10views this month
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Trust & integrity
| Signal | hivemind | agent-protocol |
|---|---|---|
| Maintenance | Very active (2d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (547d since push) As of Oct 8, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Oct 8, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- hivemind
- Hivemind turns your traces into reusable skills across agents
- agent-protocol
- Common interface for AI agents
Stars
- hivemind
- 1.6k
- agent-protocol
- 1.5k
Forks
- hivemind
- 107
- agent-protocol
- 189
Open issues
- hivemind
- 43
- agent-protocol
- 50
Language
- hivemind
- TypeScript
- agent-protocol
- Python
Adopt for
- hivemind
- Hivemind stands out for its capabilities in converting traces into reusable skills across multiple AI agents using embeddings.
- agent-protocol
- agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking.
Persona
- hivemind
- -
- agent-protocol
- -
Runtime
- hivemind
- -
- agent-protocol
- -
License
- hivemind
- Apache-2.0
- agent-protocol
- MIT
Last pushed
- hivemind
- Sep 18, 2026
- agent-protocol
- Apr 8, 2025
Categories
- hivemind
- AI Agents
- agent-protocol
- AI Agents
Trust and health
Maintenance
- hivemind
- Very active (96%)
- agent-protocol
- Dormant (18%)
Days since push
- hivemind
- 2d
- agent-protocol
- 547d
Open issues (now)
- hivemind
- 43
- agent-protocol
- 50
Stars delta
- hivemind
- +119 (30d)
- agent-protocol
- +4 (30d)
Open issues delta
- hivemind
- +4 (30d)
- agent-protocol
- +1 (30d)
OSV dependency advisories
- hivemind
- No lockfile (source not queried)
- agent-protocol
- Published findings
Full report
- hivemind
- Trust report
- agent-protocol
- Trust report
Choose hivemind if…
- hivemind is primarily TypeScript; agent-protocol is Python.
- License: hivemind is Apache-2.0, agent-protocol is MIT.
- Tags unique to hivemind: ai-agents, ai-memory, embeddings, long-term-memory.
- hivemind ships an MCP server manifest.
- - When you are working on an environment where multiple AI agents need to share and use the same set of skills derived from historical interactions or traces.
When NOT to use hivemind
- - When your application does not require skill reuse across multiple AI agents, as Hivemind’s forte is in enabling such cross-agent knowledge and behavior sharing.
- - If you are looking for a standalone solution without integrating traces into reusable skills; Hivemind leans towards managing skills via traces.
Choose agent-protocol if…
- agent-protocol is primarily Python; hivemind is TypeScript.
- License: agent-protocol is MIT, hivemind is Apache-2.0.
- Tags unique to agent-protocol: agents, ai-agent, api, auto-gpt.
- When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them.
When NOT to use agent-protocol
- If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope.
- When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (activeloopai/hivemind) · observed Sep 20, 2026
- GitHub forks (activeloopai/hivemind) · observed Sep 20, 2026
- Last push (activeloopai/hivemind) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (agi-inc/agent-protocol) · observed Oct 8, 2026
- GitHub forks (agi-inc/agent-protocol) · observed Oct 8, 2026
- Last push (agi-inc/agent-protocol) · observed Apr 8, 2025
- License file (MIT) · observed Oct 8, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: hivemind 1.6k · agent-protocol 1.5k (synced Sep 20, 2026).
Common questions
- What is the difference between hivemind and agent-protocol?
- hivemind: Hivemind turns your traces into reusable skills across agents. agent-protocol: Common interface for AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose hivemind over agent-protocol?
- Choose hivemind over agent-protocol when hivemind is primarily TypeScript; agent-protocol is Python; License: hivemind is Apache-2.0, agent-protocol is MIT; Tags unique to hivemind: ai-agents, ai-memory, embeddings, long-term-memory; hivemind ships an MCP server manifest; - When you are working on an environment where multiple AI agents need to share and use the same set of skills derived from historical interactions or traces.
- When should I choose agent-protocol over hivemind?
- Choose agent-protocol over hivemind when agent-protocol is primarily Python; hivemind is TypeScript; License: agent-protocol is MIT, hivemind is Apache-2.0; Tags unique to agent-protocol: agents, ai-agent, api, auto-gpt; When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them.
- When should I avoid hivemind?
- - When your application does not require skill reuse across multiple AI agents, as Hivemind’s forte is in enabling such cross-agent knowledge and behavior sharing. - If you are looking for a standalone solution without integrating traces into reusable skills; Hivemind leans towards managing skills via traces.
- When should I avoid agent-protocol?
- If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope. When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer.
- Is hivemind or agent-protocol more popular on GitHub?
- hivemind has more GitHub stars (1,618 vs 1,458). Stars measure visibility, not whether either tool fits your constraints.
- Are hivemind and agent-protocol open source?
- Yes - both are open-source projects on GitHub (hivemind: Apache-2.0, agent-protocol: MIT).
- Where can I find alternatives to hivemind or agent-protocol?
- GraphCanon lists graph-backed alternatives at hivemind alternatives and agent-protocol alternatives (hivemind markdown twin, agent-protocol markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, hivemind or agent-protocol?
- hivemind: Very active. agent-protocol: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for hivemind and agent-protocol?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hivemind trust report; agent-protocol trust report.