Comparison
TrueMemory vs awesome
Verdict
Pick TrueMemory when license: TrueMemory is AGPL-3.0, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, TrueMemory is AGPL-3.0.
Markdown twin · TrueMemory alternatives · awesome alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | TrueMemory | awesome |
|---|---|---|
| Maintenance | Active (17d since push) As of today · github_public_v1 | Active (11d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of today · mcp_manifest | No lockfile As of today · 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.
- awesome
- 😎 Curated list of awesome topics including hardware resources
Stars
- TrueMemory
- 365
- awesome
- 484k
Forks
- TrueMemory
- 47
- awesome
- 36k
Open issues
- TrueMemory
- 13
- awesome
- 92
Language
- TrueMemory
- Python
- awesome
- -
Adopt for
- TrueMemory
- -
- awesome
- -
Persona
- TrueMemory
- -
- awesome
- -
Runtime
- TrueMemory
- -
- awesome
- -
License
- TrueMemory
- AGPL-3.0
- awesome
- CC0-1.0
Last pushed
- TrueMemory
- Jun 24, 2026
- awesome
- Jun 30, 2026
Categories
- TrueMemory
- AI Agents, LLM Frameworks, Vector Databases
- awesome
- LLM Frameworks
Trust and health
Days since push
- TrueMemory
- 17d
- awesome
- 11d
Open issues (now)
- TrueMemory
- 13
- awesome
- 92
Security scan
- TrueMemory
- No MCP manifest
- awesome
- No lockfile
Full report
- TrueMemory
- Trust report
- awesome
- Trust report
Choose TrueMemory if…
- License: TrueMemory is AGPL-3.0, awesome is CC0-1.0.
- Tags unique to TrueMemory: agent-memory, ai, ai-agent, ai-agents.
- Also covers AI Agents, 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 awesome if…
- License: awesome is CC0-1.0, TrueMemory is AGPL-3.0.
- Tags unique to awesome: awesome-list, resources.
- More GitHub stars (484k vs 365) - visibility, not fit.
When NOT to use awesome
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
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 (sindresorhus/awesome) · observed Jul 11, 2026
- GitHub forks (sindresorhus/awesome) · observed Jul 11, 2026
- Last push (sindresorhus/awesome) · observed Jun 30, 2026
- License file (CC0-1.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: TrueMemory 365 · awesome 484k (synced Jul 11, 2026).
Common questions
- What is the difference between TrueMemory and awesome?
- 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.. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories.
- When should I choose TrueMemory over awesome?
- Choose TrueMemory over awesome when License: TrueMemory is AGPL-3.0, awesome is CC0-1.0; Tags unique to TrueMemory: agent-memory, ai, ai-agent, ai-agents; Also covers AI Agents, Vector Databases.
- When should I choose awesome over TrueMemory?
- Choose awesome over TrueMemory when License: awesome is CC0-1.0, TrueMemory is AGPL-3.0; Tags unique to awesome: awesome-list, resources; More GitHub stars (484k vs 365) - visibility, not fit.
- 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 awesome?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is TrueMemory or awesome more popular on GitHub?
- awesome has more GitHub stars (484,026 vs 365). Stars measure visibility, not whether either tool fits your constraints.
- Are TrueMemory and awesome open source?
- Yes - both are open-source projects on GitHub (TrueMemory: AGPL-3.0, awesome: CC0-1.0).
- Where can I find alternatives to TrueMemory or awesome?
- GraphCanon lists graph-backed alternatives at TrueMemory alternatives and awesome alternatives (TrueMemory markdown twin, awesome 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 awesome?
- TrueMemory: Active. awesome: 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 awesome?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: TrueMemory trust report; awesome trust report.