Comparison
hivemind vs langchain
Verdict
Pick hivemind when hivemind is primarily TypeScript; langchain is Python; pick langchain when langchain is primarily Python; hivemind is TypeScript.
Markdown twin · hivemind alternatives · langchain alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | hivemind | langchain |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (0d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of 1d · none |
Tagline
- hivemind
- Hivemind turns your traces into reusable skills across agents
- langchain
- The agent engineering platform.
Stars
- hivemind
- 1.5k
- langchain
- 142k
Forks
- hivemind
- 92
- langchain
- 24k
Open issues
- hivemind
- 41
- langchain
- 419
Language
- hivemind
- TypeScript
- langchain
- Python
Adopt for
- hivemind
- -
- langchain
- LangChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect
Persona
- hivemind
- -
- langchain
- -
Runtime
- hivemind
- -
- langchain
- -
License
- hivemind
- Apache-2.0
- langchain
- MIT License, allowing free use for both personal and commercial purposes under its stipulated terms.
Last pushed
- hivemind
- Jul 11, 2026
- langchain
- Jul 11, 2026
Categories
- hivemind
- AI Agents, LLM Frameworks, Vector Databases
- langchain
- AI Agents, LLM Frameworks
Trust and health
Open issues (now)
- hivemind
- 41
- langchain
- 419
Full report
- hivemind
- Trust report
- langchain
- Trust report
Choose hivemind if…
- hivemind is primarily TypeScript; langchain is Python.
- License: hivemind is Apache-2.0, langchain is MIT.
- Tags unique to hivemind: ai, ai-memory, artificial-intelligence, claude.
- Also covers Vector Databases.
When NOT to use hivemind
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose langchain if…
- langchain is primarily Python; hivemind is TypeScript.
- License: langchain is MIT, hivemind is Apache-2.0.
- Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI..
- Tags unique to langchain: agents, chatgpt, deepagents, enterprise.
- * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations.
When NOT to use langchain
- * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity.
- * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth
- * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework.
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 Jul 11, 2026
- GitHub forks (activeloopai/hivemind) · observed Jul 11, 2026
- Last push (activeloopai/hivemind) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (langchain-ai/langchain) · observed Jul 11, 2026
- GitHub forks (langchain-ai/langchain) · observed Jul 11, 2026
- Last push (langchain-ai/langchain) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: hivemind 1.5k · langchain 142k (synced Jul 11, 2026).
Common questions
- What is the difference between hivemind and langchain?
- hivemind: Hivemind turns your traces into reusable skills across agents. langchain: The agent engineering platform.. See the comparison table for live GitHub stats and shared categories.
- When should I choose hivemind over langchain?
- Choose hivemind over langchain when hivemind is primarily TypeScript; langchain is Python; License: hivemind is Apache-2.0, langchain is MIT; Tags unique to hivemind: ai, ai-memory, artificial-intelligence, claude; Also covers Vector Databases.
- When should I choose langchain over hivemind?
- Choose langchain over hivemind when langchain is primarily Python; hivemind is TypeScript; License: langchain is MIT, hivemind is Apache-2.0; Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI.; Tags unique to langchain: agents, chatgpt, deepagents, enterprise; * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations.
- When should I avoid hivemind?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- When should I avoid langchain?
- * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity. * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework.
- Is hivemind or langchain more popular on GitHub?
- langchain has more GitHub stars (141,504 vs 1,466). Stars measure visibility, not whether either tool fits your constraints.
- Are hivemind and langchain open source?
- Yes - both are open-source projects on GitHub (hivemind: Apache-2.0, langchain: MIT).
- Where can I find alternatives to hivemind or langchain?
- GraphCanon lists graph-backed alternatives at hivemind alternatives and langchain alternatives (hivemind markdown twin, langchain 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 langchain?
- hivemind: Very active. langchain: Very 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 langchain?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hivemind trust report; langchain trust report.