Comparison
TrueMemory vs AutoGPT
Verdict
Pick TrueMemory when license: TrueMemory is AGPL-3.0, AutoGPT is Other; pick AutoGPT when license: AutoGPT is Other, TrueMemory is AGPL-3.0.
Markdown twin · TrueMemory alternatives · AutoGPT alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | TrueMemory | AutoGPT |
|---|---|---|
| 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.
- AutoGPT
- AutoGPT is the vision of accessible AI for everyone, to use and to build on.
Stars
- TrueMemory
- 365
- AutoGPT
- 185k
Forks
- TrueMemory
- 47
- AutoGPT
- 46k
Open issues
- TrueMemory
- 13
- AutoGPT
- 494
Language
- TrueMemory
- Python
- AutoGPT
- Python
Adopt for
- TrueMemory
- -
- AutoGPT
- AutoGPT is a Python-based tool for creating accessible autonomous AI agents that can leverage various LLM APIs including OpenAI's GPT and Anthropic's Claude.
Persona
- TrueMemory
- -
- AutoGPT
- -
Runtime
- TrueMemory
- -
- AutoGPT
- -
License
- TrueMemory
- AGPL-3.0
- AutoGPT
- Other
Last pushed
- TrueMemory
- Jun 24, 2026
- AutoGPT
- Jul 11, 2026
Categories
- TrueMemory
- AI Agents, LLM Frameworks, Vector Databases
- AutoGPT
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- TrueMemory
- Active (82%)
- AutoGPT
- Very active (96%)
Days since push
- TrueMemory
- 17d
- AutoGPT
- 0d
Open issues (now)
- TrueMemory
- 13
- AutoGPT
- 494
Owner type
- TrueMemory
- User
- AutoGPT
- Organization
Security scan
- TrueMemory
- No MCP manifest
- AutoGPT
- No lockfile
Full report
- TrueMemory
- Trust report
- AutoGPT
- Trust report
Choose TrueMemory if…
- License: TrueMemory is AGPL-3.0, AutoGPT is Other.
- Tags unique to TrueMemory: agent-memory, ai-agent, ai-agents, ai-memory.
- 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 AutoGPT if…
- License: AutoGPT is Other, TrueMemory is AGPL-3.0.
- Tags unique to AutoGPT: agentic-ai, agents, artificial-intelligence, autonomous-agents.
- When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
When NOT to use AutoGPT
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework.
- If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
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 (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- GitHub forks (Significant-Gravitas/AutoGPT) · observed Jul 11, 2026
- Last push (Significant-Gravitas/AutoGPT) · observed Jul 11, 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 · AutoGPT 185k (synced Jul 11, 2026).
Common questions
- What is the difference between TrueMemory and AutoGPT?
- 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.. AutoGPT: AutoGPT is the vision of accessible AI for everyone, to use and to build on.. See the comparison table for live GitHub stats and shared categories.
- When should I choose TrueMemory over AutoGPT?
- Choose TrueMemory over AutoGPT when License: TrueMemory is AGPL-3.0, AutoGPT is Other; Tags unique to TrueMemory: agent-memory, ai-agent, ai-agents, ai-memory; Also covers Vector Databases.
- When should I choose AutoGPT over TrueMemory?
- Choose AutoGPT over TrueMemory when License: AutoGPT is Other, TrueMemory is AGPL-3.0; Tags unique to AutoGPT: agentic-ai, agents, artificial-intelligence, autonomous-agents; When you need to rapidly prototype or deploy an autonomous agent using existing language models without deep AI expertise.
- 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 AutoGPT?
- Avoid if you require absolute control over the underlying AI infrastructure and APIs used by your autonomous agents, as AutoGPT imposes its own framework. If your project demands proprietary or specialized models that aren't supported by AutoGPT's API ecosystem (e.g., custom TensorFlow or PyTorch models), consider other tools.
- Is TrueMemory or AutoGPT more popular on GitHub?
- AutoGPT has more GitHub stars (185,464 vs 365). Stars measure visibility, not whether either tool fits your constraints.
- Are TrueMemory and AutoGPT open source?
- Yes - both are open-source projects on GitHub (TrueMemory: AGPL-3.0, AutoGPT: Other).
- Where can I find alternatives to TrueMemory or AutoGPT?
- GraphCanon lists graph-backed alternatives at TrueMemory alternatives and AutoGPT alternatives (TrueMemory markdown twin, AutoGPT 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 AutoGPT?
- TrueMemory: Active. AutoGPT: 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 AutoGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: TrueMemory trust report; AutoGPT trust report.