Comparison
TrueMemory vs anything-llm
Verdict
Pick TrueMemory when trueMemory is primarily Python; anything-llm is JavaScript; pick anything-llm when anything-llm is primarily JavaScript; TrueMemory is Python.
Markdown twin · TrueMemory alternatives · anything-llm alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | TrueMemory | anything-llm |
|---|---|---|
| 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.
- anything-llm
- Self-hosted agent experience with deployment scripts for multiple environments
Stars
- TrueMemory
- 365
- anything-llm
- 63k
Forks
- TrueMemory
- 47
- anything-llm
- 6.9k
Open issues
- TrueMemory
- 13
- anything-llm
- 320
Language
- TrueMemory
- Python
- anything-llm
- JavaScript
Adopt for
- TrueMemory
- -
- anything-llm
- Self-hosted AI agent experience with robust deployment scripts across multiple environments.
Persona
- TrueMemory
- -
- anything-llm
- -
Runtime
- TrueMemory
- -
- anything-llm
- -
License
- TrueMemory
- AGPL-3.0
- anything-llm
- MIT
Last pushed
- TrueMemory
- Jun 24, 2026
- anything-llm
- Jul 11, 2026
Categories
- TrueMemory
- AI Agents, LLM Frameworks, Vector Databases
- anything-llm
- AI Agents, Inference & Serving
Trust and health
Maintenance
- TrueMemory
- Active (82%)
- anything-llm
- Very active (96%)
Days since push
- TrueMemory
- 17d
- anything-llm
- 0d
Open issues (now)
- TrueMemory
- 13
- anything-llm
- 320
Owner type
- TrueMemory
- User
- anything-llm
- Organization
Security scan
- TrueMemory
- No MCP manifest
- anything-llm
- No lockfile
Full report
- TrueMemory
- Trust report
- anything-llm
- Trust report
Choose TrueMemory if…
- TrueMemory is primarily Python; anything-llm is JavaScript.
- License: TrueMemory is AGPL-3.0, anything-llm is MIT.
- Tags unique to TrueMemory: agent-memory, ai, ai-agent, ai-agents.
- Also covers LLM Frameworks, 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 anything-llm if…
- anything-llm is primarily JavaScript; TrueMemory is Python.
- License: anything-llm is MIT, TrueMemory is AGPL-3.0.
- Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm.
- Also covers Inference & Serving.
- When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.
When NOT to use anything-llm
- Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments.
- Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.
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 (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- GitHub forks (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- Last push (Mintplex-Labs/anything-llm) · 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: TrueMemory 365 · anything-llm 63k (synced Jul 11, 2026).
Common questions
- What is the difference between TrueMemory and anything-llm?
- 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.. anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. See the comparison table for live GitHub stats and shared categories.
- When should I choose TrueMemory over anything-llm?
- Choose TrueMemory over anything-llm when TrueMemory is primarily Python; anything-llm is JavaScript; License: TrueMemory is AGPL-3.0, anything-llm is MIT; Tags unique to TrueMemory: agent-memory, ai, ai-agent, ai-agents; Also covers LLM Frameworks, Vector Databases.
- When should I choose anything-llm over TrueMemory?
- Choose anything-llm over TrueMemory when anything-llm is primarily JavaScript; TrueMemory is Python; License: anything-llm is MIT, TrueMemory is AGPL-3.0; Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm; Also covers Inference & Serving; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.
- 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 anything-llm?
- Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.
- Is TrueMemory or anything-llm more popular on GitHub?
- anything-llm has more GitHub stars (63,100 vs 365). Stars measure visibility, not whether either tool fits your constraints.
- Are TrueMemory and anything-llm open source?
- Yes - both are open-source projects on GitHub (TrueMemory: AGPL-3.0, anything-llm: MIT).
- Where can I find alternatives to TrueMemory or anything-llm?
- GraphCanon lists graph-backed alternatives at TrueMemory alternatives and anything-llm alternatives (TrueMemory markdown twin, anything-llm 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 anything-llm?
- TrueMemory: Active. anything-llm: 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 anything-llm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: TrueMemory trust report; anything-llm trust report.