Home/Compare/hivemind vs agents-from-scratch

Comparison

hivemind vs agents-from-scratch

Verdict

Pick hivemind if hivemind stands out for its capabilities in converting traces into reusable skills across multiple AI agents using embeddings; pick agents-from-scratch if agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies.

Markdown twin · hivemind alternatives · agents-from-scratch alternatives

GraphCanon updated today

hivemind logo

hivemind

activeloopai/hivemind

1.6kpushed Aug 21, 2026
vs
agents-from-scratch logo

agents-from-scratch

pguso/agents-from-scratch

954pushed Jul 25, 2026

Trust & integrity

Signalhivemindagents-from-scratch
Maintenance
Very active (1d since push)
As of today · github_public_v1
Active (18d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of 1w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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
agents-from-scratch
Build AI agents locally without relying on frameworks or cloud APIs.

Stars

hivemind
1.6k
agents-from-scratch
954

Forks

hivemind
102
agents-from-scratch
240

Open issues

hivemind
46
agents-from-scratch
3

Language

hivemind
TypeScript
agents-from-scratch
Python

Adopt for

hivemind
Hivemind stands out for its capabilities in converting traces into reusable skills across multiple AI agents using embeddings.
agents-from-scratch
agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies.

Persona

hivemind
-
agents-from-scratch
-

Runtime

hivemind
-
agents-from-scratch
-

License

hivemind
Apache-2.0
agents-from-scratch
MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes.

Last pushed

hivemind
Aug 21, 2026
agents-from-scratch
Jul 25, 2026

Categories

hivemind
AI Agents
agents-from-scratch
AI Agents, Developer Tools

Trust and health

Maintenance

hivemind
Very active (96%)
agents-from-scratch
Active (82%)

Days since push

hivemind
1d
agents-from-scratch
18d

Open issues (now)

hivemind
46
agents-from-scratch
3

Stars delta

hivemind
+74 (30d)
agents-from-scratch
Unknown

Open issues delta

hivemind
+7 (30d)
agents-from-scratch
Unknown

Owner type

hivemind
Organization
agents-from-scratch
User

Full report

hivemind
Trust report
agents-from-scratch
Trust report

Choose hivemind if…

  • hivemind is primarily TypeScript; agents-from-scratch is Python.
  • License: hivemind is Apache-2.0, agents-from-scratch is MIT.
  • Tags unique to hivemind: ai-memory, embeddings, long-term-memory, memory-engine.
  • 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 agents-from-scratch if…

  • agents-from-scratch is primarily Python; hivemind is TypeScript.
  • License: agents-from-scratch is MIT, hivemind is Apache-2.0.
  • Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs..
  • Tags unique to agents-from-scratch: agent-architecture, llm, local-llm, no-framework.
  • Also covers Developer Tools.
  • You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture.

When NOT to use agents-from-scratch

  • You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks.
  • If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: hivemind 1.6k · agents-from-scratch 954 (synced Aug 22, 2026).

Common questions

What is the difference between hivemind and agents-from-scratch?
hivemind: Hivemind turns your traces into reusable skills across agents. agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. See the comparison table for live GitHub stats and shared categories.
When should I choose hivemind over agents-from-scratch?
Choose hivemind over agents-from-scratch when hivemind is primarily TypeScript; agents-from-scratch is Python; License: hivemind is Apache-2.0, agents-from-scratch is MIT; Tags unique to hivemind: ai-memory, embeddings, long-term-memory, memory-engine; 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 agents-from-scratch over hivemind?
Choose agents-from-scratch over hivemind when agents-from-scratch is primarily Python; hivemind is TypeScript; License: agents-from-scratch is MIT, hivemind is Apache-2.0; Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.; Tags unique to agents-from-scratch: agent-architecture, llm, local-llm, no-framework; Also covers Developer Tools; You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture.
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 agents-from-scratch?
You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure.
Is hivemind or agents-from-scratch more popular on GitHub?
hivemind has more GitHub stars (1,573 vs 954). Stars measure visibility, not whether either tool fits your constraints.
Are hivemind and agents-from-scratch open source?
Yes - both are open-source projects on GitHub (hivemind: Apache-2.0, agents-from-scratch: MIT).
Where can I find alternatives to hivemind or agents-from-scratch?
GraphCanon lists graph-backed alternatives at hivemind alternatives and agents-from-scratch alternatives (hivemind markdown twin, agents-from-scratch 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 agents-from-scratch?
hivemind: Very active. agents-from-scratch: Active. 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 agents-from-scratch?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hivemind trust report; agents-from-scratch trust report.

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