Comparison
TrueMemory vs hello-agents
Verdict
Pick TrueMemory when license: TrueMemory is AGPL-3.0, hello-agents is Other; pick hello-agents when license: hello-agents is Other, TrueMemory is AGPL-3.0.
Markdown twin · TrueMemory alternatives · hello-agents alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | TrueMemory | hello-agents |
|---|---|---|
| Maintenance | Active (17d since push) As of today · github_public_v1 | Very active (0d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| Security (OSV) | No MCP manifest As of today · mcp_manifest | No lockfile As of 1d · none |
Tagline
- TrueMemory
- The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with Claude Code, Claude CLI, Cursor, Codex CLI, Gemini CLI.
- hello-agents
- Course on building intelligent agents from scratch
Stars
- TrueMemory
- 365
- hello-agents
- 65k
Forks
- TrueMemory
- 47
- hello-agents
- 8.1k
Open issues
- TrueMemory
- 13
- hello-agents
- 144
Language
- TrueMemory
- Python
- hello-agents
- Python
Adopt for
- TrueMemory
- -
- hello-agents
- hello-agents is a comprehensive guide and hands-on tutorial for developing AI agents using LLMs (Large Language Models) and RAG methods.
Persona
- TrueMemory
- -
- hello-agents
- -
Runtime
- TrueMemory
- -
- hello-agents
- -
License
- TrueMemory
- AGPL-3.0
- hello-agents
- hello-agents is covered under an unconventional license which may require further review before usage.
Last pushed
- TrueMemory
- Jun 24, 2026
- hello-agents
- Jul 10, 2026
Categories
- TrueMemory
- AI Agents, LLM Frameworks, Vector Databases
- hello-agents
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- TrueMemory
- Active (82%)
- hello-agents
- Very active (96%)
Days since push
- TrueMemory
- 17d
- hello-agents
- 0d
Open issues (now)
- TrueMemory
- 13
- hello-agents
- 144
Owner type
- TrueMemory
- User
- hello-agents
- Organization
Security scan
- TrueMemory
- No MCP manifest
- hello-agents
- No lockfile
Full report
- TrueMemory
- Trust report
- hello-agents
- Trust report
Choose TrueMemory if…
- License: TrueMemory is AGPL-3.0, hello-agents is Other.
- Tags unique to TrueMemory: agent-memory, ai, ai-agent, ai-agents.
- Also covers Vector Databases.
When NOT to use TrueMemory
- 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 hello-agents if…
- License: hello-agents is Other, TrueMemory is AGPL-3.0.
- Requirements: Min 4 GB RAM; Python knowledge assumed.
- Tags unique to hello-agents: agent, llm, rag, tutorial.
- You should use hello-agents if you are interested in practical, step-by-step instructions on building intelligent agents from the ground up.
When NOT to use hello-agents
- Avoid using hello-agents if you are looking for a quick, superficial introduction to AI agents; this tool focuses heavily on in-depth learning and practical application.
- Do not opt for hello-agents if you want a more general AI development resource; unlike some competitors, it has a narrower focus specifically on agent creation with advanced methods like LLMs and RAG.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (buildingjoshbetter/TrueMemory) · observed Jul 11, 2026
- GitHub forks (buildingjoshbetter/TrueMemory) · observed Jul 11, 2026
- Last push (buildingjoshbetter/TrueMemory) · observed Jun 24, 2026
- License file (AGPL-3.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (datawhalechina/hello-agents) · observed Jul 11, 2026
- GitHub forks (datawhalechina/hello-agents) · observed Jul 11, 2026
- Last push (datawhalechina/hello-agents) · observed Jul 10, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: TrueMemory 365 · hello-agents 65k (synced Jul 11, 2026).
Common questions
- What is the difference between TrueMemory and hello-agents?
- TrueMemory: The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with Claude Code, Claude CLI, Cursor, Codex CLI, Gemini CLI.. hello-agents: Course on building intelligent agents from scratch. See the comparison table for live GitHub stats and shared categories.
- When should I choose TrueMemory over hello-agents?
- Choose TrueMemory over hello-agents when License: TrueMemory is AGPL-3.0, hello-agents is Other; Tags unique to TrueMemory: agent-memory, ai, ai-agent, ai-agents; Also covers Vector Databases.
- When should I choose hello-agents over TrueMemory?
- Choose hello-agents over TrueMemory when License: hello-agents is Other, TrueMemory is AGPL-3.0; Requirements: Min 4 GB RAM; Python knowledge assumed; Tags unique to hello-agents: agent, llm, rag, tutorial; You should use hello-agents if you are interested in practical, step-by-step instructions on building intelligent agents from the ground up.
- When should I avoid TrueMemory?
- 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 hello-agents?
- Avoid using hello-agents if you are looking for a quick, superficial introduction to AI agents; this tool focuses heavily on in-depth learning and practical application. Do not opt for hello-agents if you want a more general AI development resource; unlike some competitors, it has a narrower focus specifically on agent creation with advanced methods like LLMs and RAG.
- Is TrueMemory or hello-agents more popular on GitHub?
- hello-agents has more GitHub stars (65,432 vs 365). Stars measure visibility, not whether either tool fits your constraints.
- Are TrueMemory and hello-agents open source?
- Yes - both are open-source projects on GitHub (TrueMemory: AGPL-3.0, hello-agents: Other).
- Where can I find alternatives to TrueMemory or hello-agents?
- GraphCanon lists graph-backed alternatives at TrueMemory alternatives and hello-agents alternatives (TrueMemory markdown twin, hello-agents 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, TrueMemory or hello-agents?
- TrueMemory: Active. hello-agents: 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 TrueMemory and hello-agents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: TrueMemory trust report; hello-agents trust report.